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S6E73: David Ahmed / Hexafarms - Normalized Difference Vegetation Index, a ‘Never Satisfied' Attitude, & Humility in Vertical Farms
Episode 73 • 12th November 2022 • Vertical Farming Podcast: CEOs & Founders in AgTech and CEA • iGrowNews
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Episode Summary

David Ahmed is the Founder and CEO of HexaFarms, an Ag-Tech Startup that develops software for vertical-farming systems. They harvest data and leverage the potential of AI to identify optimal growth conditions for various crops grown in vertical farms. Today, Harry and David expound on the impact of Artificial Intelligence and other technologies on vertical farming, Normalized Difference Vegetation Index (NDVI), and his amazing experience at Techstars Berlin. 

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Key Takeaways

07:13 – Harry welcomes David Ahmed to the show to discuss his experience living in multiple countries across the world, how he got involved in vertical farming and his passion for biology and computer science 

14:57 – Square Roots, inspiration and moving to United Arab Emirates (UAE)  

19:47 – A ‘Never Satisfied’ Mentality and Ahmed’s experience at Techstars Berlin  

26:34 – David’s growth as a first-time CEO 

29:55 – The ideal partner for HexaFarms 

32:01 – Disrupting the norms and how David thinks about hiring and growing a world-class team 

35:37 – David speculates on Artificial Intelligence, Normalized Difference Vegetation Index (NDVI), and potentially starting his own farm

43:36 – The biggest challenges posed to HexaFarms currently 

45:55 – A tough question David has had to ask himself recently and the origin of the name, HexaFarms 

51:47 – Harry thanks David for joining the show and lets listeners know where they can connect with him and learn more about Hexafarms 

52:49 – A specific ask David has for the audience 

Tweetable Quotes

“Just being able to grow food indoors is not an achievement. What is an achievement is can you commercialize it.” (11:04) (David) 

“I have actually tried to look into myself and understand why I like plants. And, I think the answer is that I see in plants the same version of a computer algorithm. Plants are really fascinating, beautiful algorithms interacting with physical properties in nature…I think the meta-answer is that I like plants just because they’re like algorithms and it gives me a sense of understanding and appreciation of things around me. I see a divine design in plants, and the same with computers. Computers are manmade and plants are Godmade.” (12:10) (David) 

“On our website we say, ‘Forty percent cost reduction,’ and I mean it. We have been running a farm and doing experiments. When I started doing our work, we set up a lab and we really are trying to be as realistic as possible, measuring every single thing like, ‘How many minutes am I spending on my seedling? How many minutes am I spending on harvesting? How many times do I have to go down to the lab to check on stuff?’” (20:26) (David) 

“I do question the norms. I mean, c’mon, take traditional farming. Tilling the ground is the conventional wisdom, but it’s not necessarily true. If you go to India, literally at the end of the season the whole swath of land is just going to be tilled. And they think it gives air and airflow in the soil, but it’s not true.” (32:16) (David) 

“Our AI can also take into account the factors I mentioned: CO2, temperature, humidity, PH, more factors. It can easily co-relate those things. It can predict harvest time, using normal cameras.” (40:57) (David) 

“The name HexaFarms comes from hexagon, which is a mathematically super beautiful structure. So, if you look at honey bees and honeycombs, the structure is a hexagon. It has a bunch of other qualities, but one of them is that if you have to 3D pack something…it makes the most efficient structure.” (50:19) (David) 

Resources Mentioned

David’s LinkedIn – https://www.linkedin.com/in/david-ahmed/

HexaFarms – https://www.hexafarms.com/ 

HexaFarms Email – [email protected] 

HexaFarms LinkedIn – https://www.linkedin.com/company/hexa-farms/ 

HexaFarms Twitter – https://twitter.com/HexaFarms/ 

HexaFarms Facebook – https://www.facebook.com/hexafarms/ 

Square Roots – https://www.squarerootsgrow.com/ 

Techstars Berlin – https://www.linkedin.com/company/techstars-berlin-accelerator/ 

Sponsor Info

Cultivatd’s Website – https://cultivatd.com/

Cultivatd’s Instagram – https://www.instagram.com/cultivatdco/

Cultivatd’s Twitter – https://twitter.com/cultivatd

Cultivatd’s Facebook – https://www.facebook.com/cultivatd/

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Mentioned in this episode:

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Transcripts

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C-U-L-T-I-V-A-T-D dot com,

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or click the link in the show notes. I have actually tried to look into

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myself and understand why do I like plants. And I think the answer is

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that I see in plants a same version of

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a computer algorithm. So like plants are really

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fascinating, beautiful algorithms interacting with physical

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properties in nature. I think the, yeah, the meta answer is

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that I like plants Just because they're like algorithms, and

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it gives me a sense of understanding and appreciation of

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things around. I see like a divine design in plants.

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And same with computers. Computers are man-made and plants are God-made or

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something.

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Welcome to the Vertical Farming Podcast, weekly conversations with

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fascinating CEOs, founders, and agtech visionaries.

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Join us every week as we dive deep into the world of vertical

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farming with your host, Harry Duran.

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Vertical Farming Podcast, Season 6. Regular listeners, welcome back.

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If you're a first-timer, then I'm sure you're in the right place if you're looking

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for a show where we interview fascinating CEOs and founders of the leading

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vertical farming companies from around the world. I'm your host, Harry Duran.

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In case you missed last week's episode, we had a return visit from Alison Coff.

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She's now the Chief Growth Officer at IUNO. It's a company that's building the

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future of CEA through their AI-driven Luna platform,

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which enables growers to develop a feedback loop capturing data and managing

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processes to create precise, predictable production.

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Allison and I talk about the merging of Artemis and IUNO, her new role as

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Chief Growth Officer, and the many ways she's been helping to promote and empower

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female founders and entrepreneurs. This week, we have a very interesting

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interview, high vibe, high energy, and it's with David Ahmed.

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He's the founder and CEO of Hexafarms, which is one of the companies out of

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Techstars Berlin that's developing software for vertical farms. The company's using

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some forward-thinking technology and AI to identify the optimal growth

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conditions for various crops grown indoors. It's really fascinating

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stuff. And given their experience in the Techstars incubator, David has

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been learning a lot very, very quickly. He even introduced a new term to

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me, normalized difference vegetation index, which I was not

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aware of and which you'll learn more about in this conversation. Don't forget, if you

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enjoyed this episode or past episodes, I'd love it if you leave a rating and

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a review at ratethispodcast.com/vfp. I'm looking

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forward to reading those out next. Okay, enough of me talking. Before we

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jump into this uninterrupted conversation with David, here are a few words from the

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folks that support this show. This episode is brought to you by Indoor

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AgCon 2023. I'm so happy to have been working with the

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team last year. Indoor AgCon 2022 was my

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very first indoor farming conference, so it was really eye-opening for me.

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indoor.ag. See you there. So David Ahmed, founder and

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CEO of Hexafarms, thank you for joining me on the Vertical Farming

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Podcast. My pleasure. So where is home for you?

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Germany. How long you been there? Like for 3 and a half years.

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I have been actually— so I was born and raised in India,

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but then I've been moving and relocating for last 7 years,

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a bunch of countries. At one point, the US. I was also in

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Israel. And now it's Germany or Deutschland. I was

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just in UAE, so I was there for the AgriMe conference

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in Dubai, first time ever. Yeah, that's crazy because actually, so the

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idea of Hexafarms, I was in New York, so Manhattan. So I was

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working with farmers in New York, in Manhattan City, like trying to get to

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connect farmers and the co-op gardens with people living in

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Manhattan so as to give them access to organic food supply.

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I think 2018. So connecting the co-ops with the farmers. And then I was at

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the farmer's market in Union Square Park one day because the

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best approach when building a startup is so-called the lean startup approach, right? So

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you just talk to people, validate the idea, find out your value

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proposition. So I was in Union Square Park and I was really

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talking to farmers, like a lot of them at those days. And then there was

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this moment that I was sitting across Whole Foods and I was

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thinking about my poor farmers who would drive all the way from upstate New York

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and some days everything will be finished in like 2 hours. And some

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days they will just take, have like their truck half full of cabbages

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and drive back home. And I was like, well, in computer science, so I come

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from computer science background, AI, machine learning, cybersecurity,

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and going back to farming. So I was like, in computer science, we do optimization

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a lot. So we write code that optimizes code that

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optimizes code that optimizes code. Like the layer just keeps going on, you know,

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like deeper and deeper. Yeah. And I'm looking at my poor farmers, I

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should say helpless farmers, they don't have this connection. And I'm like, well, this

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food production system has been working on, but I don't think it will continue. And

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looking across, as I mentioned, at Whole Foods, and where Whole Foods has so

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much analytics, they can source stuff, and then these farmers couldn't. And I was like,

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could there be a better way? That was the point when I got into indoor

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farming. And I asked myself, I like to ask myself contrarian

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questions. So I asked myself the question that, what could be the

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most— like, can we change the fabric of food production, basically? And the

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most common answer, like, the idea for me was that the most important thing was

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that, well, could we grow food indoors? Could we grow food close to where we

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live? And yeah, basically that was like a black hole for me. I just went

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into it. Yeah, I know exactly where you were. You're in Tompkins Square

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Park. I grew up in New York. I grew up just outside in Yonkers. I

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live in Minneapolis now, but New York City is like my heart and my home,

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and I've lived in Upper East Side, East Village, Brooklyn.

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So I'm very familiar with that farmer's market that I think you're speaking about.

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By the way, so going back to the UAE, sorry, that's where the conversation started.

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And then I had to move to UAE. And in UAE, I was extremely,

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extremely inspired. And I, to this day, I am by the founder of UAE, Sheikh

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Zayed. And his vision was that food security was a very important

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thing for him. And I don't know, like, even now talking about it, I'm really

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getting goosebumps because My vision was that, can we make UAE food

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secure? And I did my math and it made sense. Like,

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this was about 2018, 2019, that we don't need

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to import salads and herbs and vegetables from India,

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from Brazil. It's not sustainable when we can literally import

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like 1/100th of the mass of fertilizer. We

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have energy in UAE and we can grow. And I started the first model of

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Hexafarms. The first production unit was made in my dorm room, actually.

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And I did my math, the calculation for electricity, added fertilizer and

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everything. That was the beginning. And now

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that's when I got into like more, yeah, like how can we commercialize and

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looking into the market? Because again, like everyone, like just being able to

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grow food indoors is not an achievement. What is an achievement is

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like, can you commercialize it? But now we are getting into a totally different

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point. Like this is the current USP of Hexapharm, which I'm working on. So

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let's rewind the clock back a little bit. You studied mathematics and

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computer science at NYU. Has that been a passion since

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you were little, and how did you end up there? I had actually 2 passions.

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One was biology, so I wanted to actually become a doctor.

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And around in like freshman year of high school, I mean, I was always good

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with computers and I love computers to this day. And yeah, so I

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went to college, I gave up on medicine. I was like, well, I'm going to

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study computer science. But it was always my passion, actually. Like when I was

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14 or 16, I was already doing grafting,

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mixing 2 different varieties of rose, different fruits together.

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Where did that passion come from? Like, where did that curiosity come from? I

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think it was just, I would say it's the hacker

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mindset in a good sense, not hacker as in cybersecurity way, but

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I don't know, it just came naturally. White hat. Sorry? White hat. Yeah, white hat.

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Maybe gray hat, I don't know. I have actually tried to look into myself and

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understand why do I like plants. And I think the answer is that I

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see in plants a same version of a computer

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algorithm. So like plants are really fascinating,

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beautiful algorithms interacting with physical properties in

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nature. And that's why I also like the goal of Hexafarms is really that

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it's an algorithm. Plants are an algorithm. They deal with 13

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macronutrients. And other factors, temperature, humidity,

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CO2, maybe even sound vibration, a bunch of things. But at the

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end of the day, they're vibrations— sorry, they're algorithms. And I'm like, well, we can

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optimize it. I think the meta answer is that I like plants

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just because they're like algorithms and it gives me a sense of

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understanding and appreciation of things around. I see like a

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divine design in plants and same with computers. Computers are

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man-made and plants are God-made or something. Computers are

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man-made, but they're made from silicon too. So they actually come from— if you think

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about it, silicon chips. What was your family's reaction when you

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moved from medicine to computers? They were totally neutral.

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Yeah, I mean, I did pursue a career, right? So maybe one day I'll go

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back to medicine. I don't know. But I think I'm pretty decent with computers at

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this point. And it's also very lucrative for me to be in computer

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science. Like from a capitalist perspective. But from my personal

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perspective, I do derive a lot of pleasure in plant biology.

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And actually, that's the cool thing for me at Hexafarms. Like for the last 13

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months, I've been working full-time. There have been really rough times in startup life.

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That's pretty common. But I can't recall a single day

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where I was not excited to work on this problem. And I feel

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really blessed about that because, as I said, it's like a combination of 2 things

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for me, computers and plants. I mean, sometimes you do get mad at your plants,

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like you're giving every single thing to them and they're not responding. And

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sometimes like you're doing some experiments and people come and they're like, oh, these plants

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look amazing. Or sometimes they're like, oh, these plants don't look good. And like, I

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don't know, it hurts my ego, but overall it's fun. Do you sing to your

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plant? Not really, but I do

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have actually dreams of like plants in a very normal

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sense, as in like interacting with plants and stuff like that. Yeah, I

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remember reading when I was, I don't know, this is grade school or high school

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or something, the experiments they would do where they would play classical

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music or they played like heavy metal music. It was just really aggressive music. And

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it seems natural to me, but like, talk about vibrations

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from the music and just energy in and of itself. It would make sense that

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if it's soothing and the plants that had the classical music grew better. So I'm

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wondering, you know, obviously there's applications for that and we can go down another

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rabbit hole of that as it relates to indoor farms. But that was something that

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I thought of when you said that. Yeah, I think it was rock that they

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like and classical as well. And so talk about how

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you started down this path, because obviously you talked about being in the farmer's market,

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you talked about what you're doing at Whole Foods, Were you aware of

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anything that was happening in the world of vertical farming, other companies that

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existed, or had you been doing some research? I was. Shout

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out to Square Roots in Brooklyn. So this was January

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2019, I think, when I was just getting into indoor

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farming. The first thing a nerd would do is to buy books. So that's what

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I did and like bought some setup that I could grow plants. And

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I was living in sort of like a vacuum and I'm like, well, I am

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onto something. I can grow food indoors. Dixon de Pomier, his book and his

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essay, extremely influential. And I'm like, you know, like I was also in

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academia and like someone has to take this mission, you know, outside

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this world of academia. Little did I know that there were a lot of people

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working on it. AeroPharmacist was there and as I mentioned, Square Roots.

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And I was online and I was checking and Square Roots, I think they had

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a meetup or something or I just emailed them that can I show up and

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they were welcoming and I went there and I saw stuff. I was taking notes

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of every single thing where they were probably not doing the best thing and most

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efficient thing, but they were extremely warm and welcoming in the cold winter. And

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I visited there. And as I mentioned, going back to UAE

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before that, also I was in UAE and UAE was like very close to my

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heart. And I'm like, well, I can really take this to UAE. And I started

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looking at the African continent. I still to this day, I have a list of

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all the countries that I wanted to target with Hexafarms. Talk about

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innocent dreams. And yeah, and I was really thinking

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that I was looking at the economic complexity. So when you look at the

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African continent, some of the countries, their economic complexity is

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super low. So for example, they would have resources, but it is

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the Western nations or more developed nations that are complex, right? So

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Germany, for example, could make a chip, but silicon could be coming from

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somewhere else. I mean, just, I'm just making this up, but same thing was happening.

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Like, well, like for example, phosphates and stuff could be coming from Lebanon,

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and Lebanon might not actually have food or even fertilizer, which would be made somewhere

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else. And I was like, well, the Hexafarms kind of idea, we could just grow

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it right there. So I checked indoor farms. Maybe this is not

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a right thing to say on a podcast, but I was not happy with the

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status quo. Like, there are big giants in the field of indoor farming,

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and I don't want to name them. They have millions and

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millions in funding, and their results are not so

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promising. And as me, as a founder who's starting out, like,

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sometimes I have to suffer from it because I talk to investors and they'll be

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like, well, why aren't they doing it? Or vertical indoor farming is not going to

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work because literally there are 5, 6 companies that have taken, I don't know, combined

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$2, $3 billion in VC money and they're not able to deliver the result.

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And I was like, you know, it doesn't matter, I'm going to do it. So

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yeah, I looked at the status quo, I again checked it, and my first

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go-to source is actually reading literature and reading publications in the

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field. There's amazing— there's copious amount of amazing work

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coming from Japan in indoor farming. And like,

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for example, like to this day, I don't know if there is a big mega

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farm that is still able to achieve, let's say, 20 harvests in a year

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with lettuce. But in Japan, they were achieving it like for quite some time. So

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yeah, I just read the articles and I'm like, it's better to kind of like

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to start working on it. And because there is no— like, I can't say there

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was no single vertical indoor farm that I could look up to and I would

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say like, they're amazing. Like, I couldn't. So I'm like, well, I have to work

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on it. But now, having done my research, I think there are some that are

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good. But I still feel that the biology is not

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optimized or the plant health knowledge is not optimized

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and reliance on human talent is still not going to

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scale. Like the reason why we can't have, going back to again, once again to

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UAE, is we can't like just put, let's say,

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10,000-meter-square farm is because we don't have those plant biology experts.

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And that's where what we are working at Hexafarms comes in is

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that Well, we can let AI take care of it. And slowly in a

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year or 2 or 3 with more data coming in, this AI could become the

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best farmer. Like it would know plant biology better than any human being

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ever did or ever would. And we can get into this if you're interested later.

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How did you end up in UAE? I forgot to mention. So I was in

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this NYU's— I was at NYU Abu Dhabi. So it's like a

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global campus, but NYU Abu Dhabi and also NYU Shanghai, these are like

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let's put it, very privileged campuses where students are

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able to study wherever they want for a few semesters. And that's why my

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home campus was actually Abu Dhabi. So, moving between countries

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was a choice that was offered and I took it. Actually, a big part for

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me to also be in Tel Aviv, Israel, was to see the

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status quo of indoor farming because I was always like hearing, well,

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Israel is the best when it comes to food production and farming. And sure it

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is. But is it like super, super great? Is it

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like 10x efficient? I doubt that. What

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I notice as you talk about your journey into discovering

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the world of indoor farming is sort of this mentality

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of like, it's good, but it can be better. And also, I get

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the sense that you're the type of person that is always looking to

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optimize something where you feel like you can add value, and also

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that you're confident in, you know, seeing and respecting what other people have done,

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but also, you know, understanding that, you know, there is ways

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to improve what already exists and not being satisfied with what's

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there already, because I think maybe understanding, and maybe that's your

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systems background, or understanding that there's a possibility that you can do things

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better. Absolutely. I mean, on our website, we say 40% cost

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reduction, and I mean it. Like, we have been running a farm, we have been

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doing experiments, and I'm not like— again, as I said, initially I was very

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innocent, you know, I didn't know what other people were up to and there's a

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lot of amazing work a lot of other people have done. But when I started

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doing our work, we set up a lab and we really are trying to be

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as realistic as possible, measuring every single thing like how many minutes

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am I spending on my seedlings, how many minutes am I spending on

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harvesting, how many times I had to go down in the lab and check the

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stuff. And when I look at the summary of top indoor

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farms and I compare it to ours, like that optimization level is

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there. So I do see that there is going to be a limit, but I'm

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still very, very optimistic that a crop like lettuce,

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not that expensive baby spinach salad or something, but like

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normal salad, like normal spinach, normal lettuce could be

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grown in indoor farms profitably within the, like the hearts of

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metropolitans, very super expensive. I do feel that optimization can go up.

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like to that level. I don't think indoor farming is fully optimized.

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It's like there's still room for 20 to 40%. So talk to me

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about the experience you had with Techstars.

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Techstars. I think it's fantastic, but I

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don't think fantastic is fair. Just fantastic won't do the job. So

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Techstars. So we started like, so as I said, the idea was with me

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for quite some time. And then I was in Germany, I was doing my master's

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in cybersecurity. I actually like with 2 other friends, we bootstrapped another

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startup. My goal was that it will make so much money that I'll sell my

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stock and put it all in indoor farming. Wasn't that successful, it was

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okay-ish. And this is like around 2019. And after that

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I became a machine learning researcher. And in the fall of

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2019, I joined a master's program in

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cybersecurity where again, it was all about building a startup in cybersecurity in

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Germany. But for some reason I was obsessed with food security. So I would

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talk to friends and we were working at like edge of machine learning and AI,

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like crazy stuff. Because the institute where I studied is a little-known

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place called CISPA in Germany, and apparently it's the number one

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cybersecurity institute in the world. When you look at cybersecurity, like, it's better than

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MIT or Cornell or CMU. So yeah, and I was there and I

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used to talk about like food security and like how AI could be used. And

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I think one or two good friends of mine, they were like, either shut up

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or just do this stuff. And really that was it. And I'm like, well,

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I need money. And they're like, in Germany you can apply for grants. And I

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applied for a grant. This was last year. We got the grant, we started

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building stuff 13 months in, and that's how the startup has

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been. And then we were working on it, saw promising

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results, and then somehow Techstars, someone from Techstars found us.

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And then that's where like it all began. And Techstars is like really brutal in

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the sense of like application process. So there were like

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7,500 startups and out of those, 13 were

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selected. And we are kind of like the odd ones, right? Because we're like, Of

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course, I can always portray the image of like we're deep tech, AI,

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machine learning. But on the other hand, we're like farmers. There are like other startups

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in crypto and machine language generation and stuff like that.

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We joined, and I think in the last 2 months at Techstars,

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we have improved way more than we could have

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without Techstars in a year or 2. So I could give like concrete examples.

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Yeah, please do. Yeah. So we were initially— Techstars has this program called Mentor

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Madness, and you talked about 40 mentors and they are

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from different fields. They're investors, some of them are founders, some of them are

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just scientists, let's say. And you talk to them and you have like 20 minutes

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with them and you just move on to the next one. And like you do

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this for 5 days and at the end of the day, like they do give

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you feedback and there's just like general impression from their side how

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good you are or how bad you are and what you should fix. And I

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was hearing this constant thing that, hey, you can't make a unicorn case with Hexafarms.

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And their reasoning was that you're building for vertical indoor farms and

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that market is €8 billion. And you are just, let's

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say if you improve like a fraction of it, 10%, that's about like

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€800 million. But wait, you can't get all the market, so you'll get maybe

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10% of it, right? So you're fixing like 10% of €800 million and then you're

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going to take your cut of 10% of that. Like, it's not a unicorn case.

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And in my head I'm like, how is that not a unicorn case? Because

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what we are fundamentally doing is We are coming to

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the biggest industry of humankind, which is food production. And

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it's not just like 8 billion, it's going to be more. When the AI is

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smart enough, we can take it out to greenhouses, we can take it out to

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normal land-based agriculture. And just giving an example of Techstars

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and how it was productive was then we're like, well, then do it from the

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onset. Don't tell us this story that you're fixing for vertical indoor

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farms. Go do market validation, go talk to customers. And

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funny enough, our first customer is actually a greenhouse. It's a stealth

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project, I can't mention it, but they're like, one of the best in Germany and

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also working with some indoor farms. But it's a greenhouse and

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they're like, we actually see clearly the benefit of an AI and

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computer vision system here, especially if it's a software which tells us what to do

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and at what point. If it tells us when our plants are ready, when we

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should move, if it can somehow using the image tell the health of the plant,

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I think it's really helpful for us. And finally coming to the USP and

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like Techstars, for example, if it was not for Techstars, we wouldn't have come to

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this one-liner. And that one-liner is that We help controlled

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environment agriculture reduce their cost by up to 40%. But

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controlled environment agriculture is not just vertical indoor farming, it's also

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greenhouse, it's also hydroponic system, which is like

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single layer and stuff like that. So I think that was one of the benefits

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of Techstars because at the end of the day, like we're a startup and we

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would need more and more money and you have to follow

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certain rules. And I think we were not ready in that sense and Techstars really

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helped us there. And so are you currently in the program or have you

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since graduated? Yeah, in the program. And yeah,

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so we were in the program and then they were like, well, go validate your

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market, go talk to customers. And we did. And we have actually pretty excellent

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customers lined up for using our product, testing our AI.

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How big is the team now? We actually only 3 people. Yeah.

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What's been the biggest growth that you've seen if you look

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at yourself as first-time CEO, is that

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accurate? Yeah. Yeah. So building a company,

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taking this passion, taking all your experience. Now with

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everything, obviously having Techstars as mentors is really invaluable because, you know,

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what you've been able to learn and get help on in

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such a concentrated period of time, you know, people spend years, maybe

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even decades, you know, getting that experience, trying things, failing. And I think

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what's been helpful for you is having that rapid, you know,

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experience and sort of downloads from all those fantastic mentors

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that I'm sure you had access to. And so they're quickly making you realize, you

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know, how you create a business out of this that's sustainable. And

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so I'm just curious for you personally, like, where are you seeing the growth?

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It's probably been happening faster than normal, but like as a CEO and as

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someone who's starting a company for the first time. I think one great learning

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has been for me, I'm going to push back on that a bit where mentors

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come in. I think it's taking the right advice, right?

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So like there are some people who have said grow cannabis and because there's a

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lot of money and it's the same process. And I'm like, sure, it's the same

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software. But like the vision here is not just about cannabis, it's about

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all kinds of plant biology. And so that advice was like, well, if you grow

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cannabis, you can raise VC money pretty quick. But there I'm like,

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maybe, but maybe not. It's not a fact, it's just your opinion. So I think

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one big lesson I learned was that I have to be original and I

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really work on it, which is kind of like a bit contradictory to what I

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said, right? Listening to other people. But I think it's just like

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balancing a bunch of things. I mean, it sounds very generic answer.

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Yeah. One great thing that has happened to me is really talking to customers. It's

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not living in my own bubble or in a vacuum. And at this point

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I am talking to customers. As I said, it's like I had a call with

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someone in growing ornamental plants. So

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it's totally different space, like flowers, for example, it's a totally different space or

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greenhouses. For quite some time I was not open because I'm like, well, this AI

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is going to break if it goes outside of controlled vertical indoor

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farms, right? In vertical indoor farms right now, for example, at Hexafarms, we

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look at what is called the phenomics, like different factors that affect plant growth.

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We look at CO2, temperature, humidity, eCPH,

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temperature in the air, in the water. oxygen diffusion. We

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can— at one point we were even looking at different salt levels. In normal farms,

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greenhouses, I can't do it. But I think talking to customers, I

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realized that, well, not everyone has those things and it would

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take you years. Like if I wait for the market to build the whole work

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indoor farming infrastructure, like it's going to be too late. So I think one big

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thing that has happened to me is I would call myself a nerd, but I'm

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really trying to go out and talk to people and solve actual problems. That has

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been tremendously helpful for me. And also the other thing was communication.

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Maybe I'm still not good at communication because I speak in a very

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recursive fashion, like I go down and down. But I would say 2 things

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that, yeah, it's like talking to customers, then probably conversation and

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also realizing that they're people. Not everyone is

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moved by my vision to make vertical indoor farming or food

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production super efficient. There are people who like it, But they want to

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10x their money. There are people who absolutely love only plant biology.

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So kind of like identifying that early on has also been helpful.

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So who would you say is an ideal partner for Hexafarms?

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Vertical indoor farms, like people growing on like a regular basis,

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a lot of produce, and they're looking to cut down their

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cost. They're the best ones because ideal ones are vertical

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indoor farms, because that's where we see the magic. So we reduce the

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cost in basically 3 ways. One is that

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plants are getting what they need. So plants like our system, so

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basically Hexapharm packages a bunch of sensors and these are all

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industry-grade sensors that are open source in the sense that we can

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ask for the values from these sensors and connect to a network. So we put

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these sensors in your farm and also actuators, which would be, let's say, a

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controller, like a relay. So your light setting, for example, We could tweak that with

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our sensors, which we don't actually manufacture, we just put them. And then

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we stream all of that data to the cloud where we do the processing, and

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then we control the farm. So it's like a 2-way loop. And the efficiency that

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comes into play is that plants are getting in real time what they need. So

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to give you an example, if our camera detects that plant on layer

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4 is stressed, then we just turn the light off. The

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conventional wisdom is to keep the light on because you'll get, I don't know,

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massive production, which is not true. And when we turn the light off, we save

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the electricity there. And then we also like electricity

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is reduced, but the plant is happy. So the harvest cycle is going to be

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short or like the production could be more from the same amount of resource.

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So one would be like, it's like biological optimization. The second big

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factor is operations. You don't have to keep checking on things. And third one is

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plant biology expertise, which is better than any human being. And that

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can be run anywhere on the planet, like going back to UAE. in the

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desert, like you don't have to hire someone, an AI can take care of it.

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This whole plant biology expertise right now, they're like just few experts. This

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again is not a good thing to say on a podcast, but a lot of

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these quote unquote experts are really coming from the horticulture segment, right?

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And they're not necessarily extremely aware of how food production happens at vertical

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indoor farming. So yeah, that's like how we drive value

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in our whole product. Coming back, this sense of

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like disrupting the norms, is that something that's a trait in you? Is that something

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you've always Like been doing, like doing things a different way?

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Maybe. I'm actually, in terms of philosophy, like in politics,

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I'm more conservative, but I do question the norms. I mean,

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come on, like take traditional farming, like tilling the ground. It's a conventional

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wisdom, but it's not necessarily true. Like if you go to India, literally

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at the end of the season, the whole swath of land is just going to

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be tilled and they think it gives like air and

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airflow in the soil. But it's not true. Like, you can also do

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farming in permaculture way without tilling the ground. So I think a lot of wisdom

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around us is just like someone else like us thought that before

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and they thought it was a good way. But yeah, that won't stop me from

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questioning it. I mean, I don't want to question for the sake of questioning it,

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but places where I do know some bits about it, I would like to question

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it. And it's good. Like, yeah, because a healthy dose of it is good.

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Yeah, healthy dose of skepticism, like they say, because You know, obviously the people who

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have made differences in this world were the ones who went against the

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grain or what people typically thought was possible. And, you know,

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you just need that first person. Here in the States, they've, they've called it the

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Bannister Breakthrough because Roger Bannister was the— if you know the story, you

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know, no one thought you could break the 4-minute mile and he broke it. And

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then all of a sudden everyone's breaking 4-minute miles. And then you don't know

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what's possible until someone leads the way and just pushes, you

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know, the limits of what people, you know, traditionally think. you can do.

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I mean, our whole field, I mean, vertical indoor farming is really so

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unconventional. And I mean, we are in the same spirit, and

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I think we should question more. Yeah, it sounds like you're going to be doing

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that as well. So how do you think about growing your

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team? Like, do you have inspiration for folks that have done that that you can

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talk to, or how do you think about that personally? Because I imagine

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as you grow Hexaphorms, you're going to have to think about What are the

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right hires at the right time? Yeah. So our

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USPs, like more unique selling point, is that the AI performance,

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right? So right now we are 3 people. One of us taking care

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of operations and sales. I would be taking care of—

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I do like AI machine learning and Heejae, my co-founder, he's

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also doing AI machine learning, more computer vision, robotics side.

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And I think we would— the next hires would be people

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like AI and machine learning again, because I and my third

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co-founder Felix, I also like to be involved in talking to

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customers. So it's not like just one person doing it because I think it's very

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important for us as co-founders to know it. And also like quote unquote

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CEO of a 3-person company, I should still be talking to

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customers and I do that. So I think the next hire would be in the

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field of AI machine learning and/or

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development, again, programming. We could definitely benefit from some

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marketing because our marketing is crap. It's like

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if you go to HexaFarms or like anything, you don't find that

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crazy or cool stuff. When I see online different

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companies that I kind of know inside out and their presentation is super solid.

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So I would say AI, machine learning, marketing. And

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I think if we make a good product, sales would work by itself. That's the

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hope. Word of mouth. Yeah. And if you drive value, I mean,

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people just like it. And our space is so homogeneous. I realized it also

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works in indoor farming and in general agriculture. It's so homogeneous. If

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you drive value for someone, word of mouth is going to work in our favor.

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And this podcast. Yeah, absolutely. Absolutely.

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I'm so happy and grateful to be here. So David,

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when you think about who this makes sense for.

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Was there ever any thought of starting your own farm, or do you realize that

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the power in what you're providing is enhancing

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what existing farms are doing? We were at one

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point— our first proposal actually for that grant that I mentioned that we

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got from the German government, which, which helped us to build the whole stuff, was

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that we're going to grow our own stuff and we're going to sell it. We

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were wrong. Selling is difficult. And even packaging,

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marketing. And while working on it, it's like

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we realized it was difficult. So like, okay, let's work on the— what is our

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core thing? And that was like AI part and intelligence part and

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control and monitoring. And then I started talking to people and I realized

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actually even monitoring is not a pressing problem, right? So there are lots of

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companies that are providing solutions for monitoring, even automation. But

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one thing that I heard which was universally true even from

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quote unquote competitors or enemies. I don't think anyone is an enemy, but

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actually, no, sometimes I do talk to companies I don't want to name. And the

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amount of ego is just unbearable. It's like, I know them,

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their company from like some other side, and then someone working on

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something else and the way they would flex about their technology. And I'm like, gosh,

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like, this is too much. But anyhow, where was I?

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No, you were just thinking about, you know, That you were originally going to start

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your own farm and then you realized by having these conversations. Yeah. Yeah.

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So now I'm hearing from people that it's actually that

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computer vision AI part, the intelligence part that is going to be the most

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important thing and the game changer. And that's what we are focusing on now because

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again, also coming to the reality of the startup, I would love to run a

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farm. I would love to put experiments. I'm also an amateur mycologist,

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like just cloning mushrooms, growing mushrooms. It's also an obsession of

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mine. It's like you could give me any mushroom, most likely I can clone it.

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And I do that. I mean, if I had to do as a hobby, of

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course I would have like a farm unit. We do actually have 2

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farms. We have actually one farm that we deployed and is working like 700

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kilometers away from here. And I can control every single thing from here in Berlin.

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It's fully remote. But I don't think moving forward we are going to get

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into the hardware space or growing itself. I think there are tons of

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companies that are doing a pretty good job. Also, there are some companies that are

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not super nice to talk to, but there are also some big names that you

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talk to. They're super nice and super welcoming. And I think our potential

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would be mostly there. So they're like right now, if to name some big

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indoor farms like Plenty, Bowery, Infarm in Europe, and AeroFarms,

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is they do have a biology team working on it. But I

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think that is not democratic enough. Like if you were to start an indoor farm,

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you can't get that efficiency that they might have, which I'm not going to question

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here on the podcast. But I think if Hexafarms could

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have a team of X number of people working solely

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on developing an AI, which is plant brain, and everyone can access to it,

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I think that will be excellent and game changer. The democratic aspect, like anyone

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could really subscribe to a service. Our pricing would be based on the amount of

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efficiency we drive for you, right? So if we let you save €100,000,

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$100,000 a year and be like, hey, our subscription would be

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$10K, I mean, you would gladly pay because you're getting $90K extra from the same

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operations. So yeah, I think that is also important for us. So

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that's why focusing purely on AI and software. Where are you seeing the most

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opportunities for growth? Are you bootstrapped? Are you looking for funding?

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What's top of mind for you right now? So we are pretty

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secure financially for another year, but I think now last

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2 months have been crazy good in terms of like traction.

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And actually we are considering fundraising sooner than we had

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planned. Like right now, if I could fundraise and I can really put

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money to good use and scaling things up. One other thing is

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that I think in our field, now this is getting

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capitalistic, is that I think winner takes it all kind of thing,

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right? So if our AI is better, it is very unlikely that someone else

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can beat and vice versa. So if someone else does it, they could actually

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kind of do a pretty good job and take over. So that's why I'm also

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like, maybe actually we could fundraise sooner and just speed things up a bit.

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And also just in terms of utility that we drive for the planet,

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by having an AI trained and working sooner than later, I think it's

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better. Where are we in terms of AI, specifically with

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the applications that you're using it for in vertical farming? Are we

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just literally at the starting line? Are we, in terms of

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possibilities, I'm curious from your perspective what that looks like.

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Initially, I used to shy from using the word AI because it's such a buzzword,

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and machine learning. So right now for us, let's take

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one cultivar lettuce, Lactuca sativa. Our AI can,

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using normal camera, measure the 3D growth. We can

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get good indicators about the stress level in the plant,

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nutrient deficiency of calcium, potassium. These are coming from

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normal cameras because that's kind of like our technique. Tesla, I think, is

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also having similar approach where they don't rely on expensive sensors or

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multiple sensors, but they rather kind of train

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simpler sensors. to, let's say, like using a model where

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you could predict the 3D shape of a human being just from a 2D image,

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right? So that could be one application for like autonomous cars. Not

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exactly like this, but it works in a similar fashion. So our AI is,

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again, the computer vision can do those things. And then it can also take

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into account the factors I mentioned: CO2, temperature,

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humidity, EC, pH, more factors you can keep adding.

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It can easily correlate those things. It can predict harvest time, by the

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way, using normal cameras. And I think the pipeline is fully set. It's

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just like now adding more cultivars. And our

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farm, by the way, so the one that is the first one, it was actually

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our first customer and it's running and the customer doesn't have to touch it. Like

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it's not just AI, it's also like monitoring and control. So everything

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is kind of working and coming back to reality where AI alone

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is not going to do harvesting, right? So we need some other things. And our

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system is also like, let's say when things are growing and there's a

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need that the pH level in the nutrient solution has to

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be changed and automatically triggers. And we have solved all those

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problems. So it triggers and it changes. But for some reason, let's say it does

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not change and it does not change for 3 hours. That's bad. But

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it doesn't just remain like that. We get a notification because we have set up

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like another monitoring software for that, which just sends a notification, hey, this is not

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changing and just intervene. And we would just look into it. So yeah, I

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think it's not just the beginning. It's like pretty decent. And now we're

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looking at what is called a normalized difference vegetative

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index. I actually wrote it down. Can you explain what that means? Yeah.

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So it's NDVI and this is an approach that is used with

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satellite imagery. So when you look at fields and you want to

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understand where is vegetation happening and you can see

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basically it's like normal image. And then you

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combine it with near-infrared and based on the

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kind of like manipulate those values and you figure out the vegetative

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index about what is actually like growing

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plants and what is not. And the same approach can be also applied in

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indoor farming. So it could be a very good indicator to give you like a

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much simpler example is that let's say we have 2 cameras and with one we

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are measuring the infrared, which is heat map of the plants. And the

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other one is taking RGB image, which is a normal image as we see.

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And then looking at the correlation between the two, we can infer a lot of

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things. Like we can infer plant disease, stress level,

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photosynthetic activity. I mean, there's publication on that as well. And

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right now these things are done either in labs and you need equipment

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worth like $6K to $20K. And our take of Hexapharm's take is

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that we don't need to focus on sensors because we're getting information

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anyways. So why not add the complexity in software? Because then we can

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distribute it super fast. And that's the bet we're making. And so far,

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we have seen promising results. Where are you seeing

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the most challenges for yourself as a company? I think

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the vertical indoor farming space, at least in Europe,

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is— I have noticed that there is a sense of

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pessimism. I don't want to name some big companies here, but they have not been

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able to drive the results. And have been operational for 9 years or so.

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Some are shutting down. I mean, I think Five Seasons, I don't know if it's

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European or American, Five Seasons just declared bankruptcy last week.

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And I think this is a big challenge is like, how can you

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convince investors? Because at the end of the day, we need money. And how

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can we convince people to put in their money that they will see like 10x

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value? I mean, but this is an external factor. This really does not stop me

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because, and that's why I'm like even doubling down on taking the challenge of

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optimization. Like if I can prove to a supermarket And this experiment we

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did, and responses were pretty good, is that, hey, if I can

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promise you that lettuce, one head of lettuce that you're getting for

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$0.35 from a faraway field, what if we delivered the

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same lettuce to you? Or even better, you can put a farm,

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super simple farm, but hyper-intensive in terms of productivity in your

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storage room, and you can have a secure supply of high-quality lettuce

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roughly at the same price. And then they're like, okay, makes sense. Like right now,

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lettuce, if you buy, first of all, no one is stupid enough to grow lettuce

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in Europe in vertical indoor farms. We know why, because it's not

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efficient. It's like unit economics is not making sense, so no one is doing it.

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But my goal is that if we can prove that, then even from

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economic perspective, it should make sense. And that's the

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challenge I would like us to solve. Yeah. So in general, yeah, the fear is

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from the market, but it's also not a big fear. I'm not scared at

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all. I can tell. I love the energy and the enthusiasm that you're bringing

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into this. And the hope that you have for where this is

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going. I think we all see it. I think we all see the potential and

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we all see this idea that what we've done up

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until now has gotten us to this point. But that

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doesn't mean that there can't be new fresh blood, fresh ideas, fresh thinking

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to get us to maybe like move exponentially to where we need to be if

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we're really going to solve this challenge of, you know, access to food, food

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scarcity, you know, supply chain issues, food deserts, all the

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things that, you know, we want to see. vertical farming tackle?

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What's a tough question you've been asking yourself recently? There are lots of

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them. Most of them are actually computer science questions.

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I have more tough questions in, like, as I said, in computer science kind

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of. It's AI, for example. I think that with

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AI we are kind of stagnating, which is a bit

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controversial opinion to have when we were seeing GPT-3 and all. I think

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we could be doing much better. We could be doing— by much better, I mean,

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I think AI is still devoid of reasoning. So I think

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textual manipulation, taking a text and generating a summary, if actually, if you

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go back in our field, you would find actually old papers.

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Text generation was super simple even like 50 years ago. Summary was a bit

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difficult. There was a paradigm shift, I think, in the '90s, late '90s,

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where deep learning came into play. And I think we're building just on top of

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that. I think we could do much better there. So my tough question that

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I have is that, can we go beyond AI? Can we go

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beyond the conventional model of AI? I think in my opinion, like for last

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2 decades, it has not changed much. Like deep learning is school of thought, it's

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just deep learning. I mean, of course, like we see tremendous results. So that is

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one tough question. Like what are the limits of AI? I think it's a tough

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question because we don't even have the language developed, right? To ask that question. Like

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what does it even mean to ask that question? Coming back to vertical indoor

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farming, what are my tough questions is

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like, who will be the eventual growers? Is it going to be the mega farms

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or are we going to see a new democratic world where

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people like you, people like me would actually have

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an Uber version of farming? Like we will put some

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kit in our garages and connect it to supermarkets and just

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grow food. And the unit economics in that case would be, hey, I'm putting in

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like $500 worth of electricity and $50 worth of

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fertilizer. At the end of the day, I'm like growing, let's say,

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$2,000 worth of like produce. And the

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supermarket is connected to the same hub and is able to take it. So it's

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not a tough question, but it's just like thought experiment that I do with myself.

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On optimistic days, I have really beautiful pictures. On other days, I have really

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dystopic pictures. No, I mean, I think it's so exciting because there

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is room here for everyone. And I think So far, the

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conversations what I've had is that everyone knows, you know, we may

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see companies that are doing very similar things in this space, but it really is

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an all hands on deck moment. It's like we need everyone to be addressing this

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problem because, you know, we're trying to feed whatever the number is, 9 billion

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people on this planet. Like, I think there's still a lot of opportunities here.

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There's still a lot of need, and there's still from everything from the plants

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and the herbs I'm going to be growing in my living room to the container

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farm next to the supermarket, to the restaurant chain that's, you know,

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building several container farms, to the AeroFarms, to the Plenties of the world. I think

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there's definitely not a one-size-fits-all approach, and I think people are going to find out

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what approach fits them. You're talking about all the different crops. Mushrooms are

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really big now. Strawberries are making a dent, and there's expansion happening in

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terms of what we can grow and what's possible. And then the

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regions, right, like the UAE, you know, like where there's pressing needs for this

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sort of thing. So it's really exciting. And then I think, you know, I had

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my eyes opened even more when I was in Dubai in terms of seeing the

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potential and how— what a need this was, not only for growing food

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for people but also growing food for livestock. I mean, camels in

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UAE— I mean, I think one of the biggest camel farmers in the UAE was

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expressing the need to like, I need to like figure this out because I need

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to keep, you know, my livestock fed. And so just there's so many challenges that

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if you don't look at this from a global perspective You just think it's like,

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oh, I just have to like, you know, feed, you know, or create enough

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crops for people in my neighborhood or something like that. And that's the only challenge.

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But there's something bigger that's happening here. And I think the more and more I

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have conversations with people from around the world tackling this problem from different angles,

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as you are, and especially coming into it with a fresh perspective, I think

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really that's really what's exciting me about the potential.

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I agree. It's different solutions from different angles.

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And I think, yeah, the combination is going to work. But I've taken my side

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and my side is that putting AI to work, making things accessible to people

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is very important. Not locking in people with hardware or something.

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And yeah, just kind of like agriculture, I don't know, 4.0,

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6.0. I don't want to use a tag, but like just a new paradigm. I

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mean, sure. Yeah. Where did the name come from? Hexafarms.

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That's basically Hexafarms. The name comes from hexagon, which

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is mathematically a super beautiful structure. So if you look

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at honeybees and honeycombs, the structure is hexagon because

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hexagon— I mean, it has a bunch of other properties. One of them

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is that if you have to 3D pack

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stuff, so let's say we take cubes and we just put cubes on top of

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cubes, cubes on top of cubes, and I give you some specific volume, you can

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fit it up, right? You can fill it up with cubes and there won't be

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any space left. And then the— we can do the same with pyramids, like a

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triangular shape. And then the question is, what is maximum number

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of sites that we can have that can fully fit

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into like a volume? And turns out it's a hexagon. So if we have like

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a hexagon, like 3D shape with hexagon as all faces, like we can 3D

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pack them most efficiently. If you go one more edge, like

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septagon, it won't work. So pentagon would work, but

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hexagon works as well. After that, it does not work. Honeybees, yeah, make

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for that exact reason. it gives the most efficient structure to use

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the least amount of wax to get the same structure. So Hexa kind of comes

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from efficiency. But don't be surprised if we actually rename

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ourselves in the future because a lot of people confuse us as

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like, let's say, Aerofarms. Like, we're not in the

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farming space, we're not in the hardware space, we're more as the

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intelligence part. So yeah, maybe the parent company will remain Hexafarms.

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But yeah, so that's where the name comes from. It's very apropos given

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the solutions you're solving for. So David, this was a really fun conversation.

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I'm glad we got connected. I'm really excited to see the innovation that's happening in

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the space and especially like, you know, this fresh perspectives coming in

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because I think, you know, to your point, you know, the way we've been doing

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things has been working to some extent, but that doesn't mean there's not

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opportunity for innovation consistently happening, especially at the rate at

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which technologies are improving like AI, like

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some sensors. So I think what you're doing is really valuable. It's a bit

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disruptive, I think, if I have to say, and then I think that's a good

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thing. And so I'm going to be excited to be watching your journey.

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hexafarms.com for people who want to learn more. Any other place you want to send

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people to connect with you? LinkedIn, we have our page,

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[email protected]. As I said, we're really terrible at marketing,

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and our social media presence is also not that awesome. But yeah, thank you so

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much for having me here, and my apologies, like, The way I speak is just

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like, you know, the thought stream is very complex, like the roots of a

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lettuce plant. That's a perfect way to wrap this up. Thank you for sharing, and

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no need to ever apologize for being who you are. And I think it's really

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important to just wear your heart on your sleeve sometimes. So David, one

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opportunity I like to give my guests is to speak to

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this audience, and it's your peers in the space, people in the vertical farming space,

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people who are interested in vertical farming. So do you have a message for the

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vertical farming industry? Yes, I do. Well, only one

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message is that let's be humble. Let's work together. And by

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being humble, it also implies that we should be open to different solutions.

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I believe that we can use new tools. We don't have to be scared. We

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have to be humble enough to accept that there could be AI solution combined with

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some sensors that can surpass human intelligence, but it's not going to take

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over, right? So it's going to help us. It's going to be an assistive technology

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for us to reach higher efficiency. So yeah, I would say, Let's be

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humble. That's very well put. Thank you. Thanks again to David for that

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enlightening and entertaining conversation. I really appreciate

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him coming on the show, and I'm glad we got to tell his very, very

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exciting story. It's gonna be very fun to watch David's progress. Full show notes

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including everything we discussed, resources mentioned, timestamps

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at verticalfarmingpodcast.com. Once again, thanks to our season 6

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title sponsor Cultivated. If you're looking into a vertical farm and don't know where to

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start or which technology would suit your needs, Reach out to them today. Best of

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all, their service is free because they work on behalf of their partners.

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Learn more at cultivatd.com, and that's spelled

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C-U-L-T-I-V-A-T-D.com. Just leave out that last E.

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Podcast production and marketing provided by Fullcast. Learn more at

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And we'll be sure, I promise, to read that out on a future episode. The

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hits just keep on coming, as they say. Tune in next episode. We've got a

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great conversation with Dr. Christian Thoma of Calera.

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That's a conversation I've been waiting to have for a while now.

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As always, here's to your health. Thanks for listening. To read the full show

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notes for this episode, which includes any links mentioned in the

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