Venture Everywhere Podcast: Charlie Andersen with Jenny Fielding
Charlie Andersen, founder and CEO of Burro chats with Jenny Fielding, Managing Partner of Everywhere Ventures on episode 80: From Burden to Burro.
In episode 80 of Venture Everywhere, Jenny Fielding, co-founder and ManagingPartner of Everywhere Ventures, talks with Charlie Andersen, founder and CEO of Burro — a company creating easy-to-use autonomous robots that are built to amplify the workforce in vineyards, greenhouses, nurseries, and other types of outdoor work. Charlie shares Burro’s origin story, born from his experience on a family farm and a vision to ease labor demands in agriculture through practical, scalable robotics. He also discusses how Burro is leveraging real-world data to build safe, intelligent machines that operate alongside people in complex, unstructured environments.
In this episode, you will hear:
Tackling labor-intensive field work with affordable, autonomous robots designed for real-world tasks
Scaling from concept to 550+ deployed units across agriculture, nurseries, and industrial sites
Building a mobility layer that collects and learns from real-world data in unpredictable environments
Using onboard AI and sensors to safely navigate near people and adapt to outdoor terrain
Evolving from a farm robot into a platform for general-purpose outdoor autonomy
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TRANSCRIPT
00:00:00 VO: Everywhere Podcast Network.
00:00:14 Jenny Fielding; Hi, and welcome to the Everywhere podcast. We're a global community of founders and operators who've come together to support the next generation of builders. So the premise of the podcast is just that, founders interviewing other founders about the trials and tribulations of building a company. Hope you enjoy the episode.
00:00:34 Jenny: Hi, everyone. Welcome to Venture Everywhere, where today my guest is Charlie Andersen, who I'm very excited to talk to. He's the founder and CEO of a company called Burro, which is at the intersection of autonomous robots and agriculture.
00:00:50 Jenny: We invested in this company in 2018.
00:00:54 Charlie: Yeah. Way back in the day.
00:00:56 Jenny: It's been a while. You had such a great vision of where robots and tech and the intersection of ag were going that we were excited with your vision.
00:01:05 Jenny: I had read up that you actually were working on a family farm, and that is what gave you some of the inspiration. So maybe you can take us back to those days.
00:01:15 Charlie: Sure thing. I grew up on a working fruit and vegetable farm, I guess my dad did something really cool and entrepreneurial. And so our farm was a working farm, but my family had two businesses. One was a farm, one was a construction business, and I was always the machine guy. I loved being in the airconditioned tractor cab, pushing buttons with the touchscreen.
00:01:32 Charlie: I totally loved being outside, but I don't like doing tedious manual labor – pruning, picking, weed wacking, mowing, spot spraying, this whole host of tasks that require a lot of manual labor or at least un-airconditioned labor outdoors. I really thought there should have been a lot more robots then.
00:01:48 Charlie: Fast forward a bit. I was a geology and political science major in college. I worked for some other funky businesses, and then I got an MBA. I got out of business school, and all my friends went into consulting and banking. I went to work for a big tractor company called Case New Holland. It's really Fiat Industrial. So Fiat has a car division, and there's an industrial side, which would be like Ivesco, Ace, New Holland, which used to be Ford Tractor.
00:02:07 Charlie: I spent about four years there and it felt like working for Kodak as digital cameras emerged where our biggest and best customers wanted bigger tractors with nicer cabs in the Midwest and our worst customers, the guys on the coast who didn't have a lot of machines and they had a ton of labor, wanted automation and seen it wasn't gonna do it.
00:02:28 Charlie: And so in 2017, I had a couple of bad ideas, and finally quit my job. My wife, at that point in time, girlfriend was like, “What are you doing? That seems insane.”
00:02:37 Charlie: And by 2018, I had two co-founders, and we had built a couple of autonomous systems and running early paid trials. Fast forward today, we're 55-person team. We've sold off 550 systems and we're trucking. That's a very long winded narrative on what has led us to where we are today.
00:02:52 Jenny: I love it. Aside from wanting to stay in the air conditioned car, what were the most unique insight that you garnered from those experiences growing up on the farm that later informed the vision for Burro?
00:03:04 Charlie: Early on… there's the should we do it, could we do it, and do we have the right to do it. For me growing up, what I saw was that there were a lot of things that could be done on a farm autonomously. And then there was this different question of should we do it? Meaning is there demand? Is there value? Is there a big enough market for it?
00:03:23 Charlie: Half of our revenues is crops, half is livestock. Putting livestock aside, in the crop segment, two thirds of revenue is corn, wheat, or soybeans. That's two thirds of revenue, but it's 5% of labor. 90% of labor is in the third of revenue. That's fruit, vegetable, and nursery crops. And the difficulty there is that that labor does a billion difficult to fully automate things.
00:03:47 Charlie: My insight from growing up was that people do a ton of different stuff and are really flexible. Robots should not replace people comprehensively. They should do universal things that are layers that can be used across many application sets.
00:03:58 Charlie: I wouldn't have stated this in the same form growing up, but a lot of my upbringing was being a hard and itchy thing that a robot do but probably shouldn't do to start and seeing that mobility was this universal thing where robot could start today and could be used for a bunch of things.
00:04:15 Jenny: That's great. Tell us about the early days of getting the company off the ground. One of the things that made us lean in and want to invest was you had this little prototype, and you would carry it around everywhere, but it was actually quite big.
00:04:29 Jenny: I remember you being like, “Well, if you could meet me at Bryant Park, the Burro’s gonna be there.” And I was like, wow. This guy is really hustling. He's bringing this thing up from Philly and toting it around New York City, and I found that very impressive. Hardware is obviously different than software. So what were those early days of building a prototype like?
00:04:47 Charlie: I vaguely remember getting these very sternly worded emails from Bryant Parks saying, whatever you do, do not bring a robot here. I can remember, like… I think he posted on Twitter, hey. Like, come check out a robot in Bryant Park. And Bryant Park was like, [Yeah.] do not… whatever you do, do not show up. If you do, you'll get arrested.
00:05:02 Jenny: Well, you did get an investment out of it. So, I mean, it was worth it.
00:05:06 Charlie: Yeah. I think we end up going to Central Park and doing a bunch of laps there, if I recall. Early on, this is kind of those catch-22, especially with robotics where you really need capital to get a prototype or proof of concept going to prove out that people will buy something but nobody wants to put any money into something until they know someone's gonna buy it.
00:05:24 Charlie: And so when I was still working, I bought all of this machinery to build things. By the time I quit, I had a full machine shop. 2017, 2018, I had this concept that looked like a very real thing, but had none of the autonomy to really fully work. So it was a hardware that looked like something a customer really could buy, and the autonomy stack on it was super primitive. At the time, didn't even have a GPU.
00:05:46 Charlie: So it could follow a person poorly. It had no obstacle handling whatsoever, and it could retrace a route using one stereo camera only that would fail in, like, an hour. It was the most minimal MVP you possibly could imagine. Driscoll was interested. Altman Plants was interested. A bunch of companies we have today were interested at the time.
00:06:07 Charlie: I needed to show it to investors to prove that it was real. It seemed like the bigger question we were asking was, does this team have the tenacity to actually get this working, and will customers actually buy it?
00:06:17 Charlie: To prove that someone will buy it, you need enough money to build it. And I had no money to build it, and, therefore, I was endlessly running out of money trying to build something to prove that people would buy it and gradually closing that loop in a tighter form.
00:06:27 Jenny: Every hardware founder that I have interviewed on this podcast and beyond says the exact same thing. It's really hard to get a hardware company off the ground for exactly the reasons that you articulated. It's very different what a prototype has to look like to get people bought in.
00:06:45 Jenny: Okay. So you get the prototype going. You meet some people in Bryant Park, allegedly. Tell us what happens next and how the product comes together and then ultimately evolves to where it is now.
00:06:56 Charlie: 2017 to 2018, 2019, I'm feverishly pitching and losing pitch competitions constantly, like hundreds of losses. I pitched in 2017, this thing called AgShark, which is run by this group called S2G, which is effectively Lukas Walton's AgTech fund at the time.
00:07:10 Charlie: So in 2017, they politely clapped me off the stage and said, “Hey, not for us.” 2018, I came back and won it. At that point in time, I was able to turn that into about a 1.5 million dollar seed round. We had customers willing to pay for pilots and so forth.
00:07:24 Charlie: By 2020, we'd raise 1.5 or 2 million dollars in total. We suddenly had 20 systems in the field and paid commercial use. At that point in time, I hired a Spanish speaking field team, which was one of the drivers for us accelerating.
00:07:40 Charlie: Because you shifted from, hey, this is a cool idea robot to it being able to talk. If you're in the field in the US and when there's labor taking place and you don't speak Spanish, you cannot communicate with anybody. Everybody that actually does practical work in the US is a Spanish speaker, at least in the outdoor settings.
00:07:53 Charlie: By 2020, we had 20 systems running in paid commercial use. Next year, we had 90. The next year, we had 200. As of now, we have about 550 systems in paid commercial use. We're doing about 20 to 30 a month. We raised about $46 million to date in equity.
00:08:07 Charlie: We'll probably do between $9,000,000 and $10,000,000 in bookings this year, probably $7,000,000 to $8,000,000 in revenue, give or take. I used to think we were an AgTech robotics company. Now I fundamentally believe that we're actually an autonomy company starting in agriculture.
00:08:20 Charlie: If one believes that, with generative AI, whoever has the data makes the rules, if one buys into that supposition, so the notion that the reason generative AI has moved so quickly is you have all of humanity's knowledge on the Internet. And all of the reptilian brains’ knowledge of how to move through the outdoor world does not exist in a dataset yet. My belief is that there are two approaches to get a massive amount of data.
00:08:41 Charlie: One is a perfectionist approach, i.e. a Waymo or an agility robotics. Billions of dollars from the problem, relatively small number. The other one is a Tesla style approach. Not that I love everything about Tesla, but it's more of a pragmatist approach.
00:08:53 Charlie: Get a lot of stuff running, get good positive gross margins around it. The more data you have, the more the robot can do, the more willingness to pay there is creating that feedback loop. That's really what we're doing.
00:09:03 Charlie: So we're now in vineyards carrying fruit or in berry operations carrying fruit or in nurseries towing things or in a whole host of things doing mowing and spraying and patrolling. We're also increasingly in depot yards and other non-agricultural settings.
00:09:18 Charlie: We're an autonomy company starting in agriculture, building small tractor or small vehicle scale, autonomous system for moving your people that is AI heavy and ultimately becomes the universal layer for moving your people across a host of applications.
00:09:34 Jenny: Can you describe a little bit more about how the machine operates? Because you have had this evolution followed by AI, and how has that impacted your business and how you guys work.
00:09:47 Charlie: We have three sizes of vehicles. There's Burro, Verde, and Grande. Burro is the core machine. Verde is a small Burro with a lever on it. Grande is a big robot that's about 1,500 pounds and about 15 horsepower or so.
00:10:04 Charlie: If I think about something like Disney's Wall-E or Star Wars' R2D2, we really build that product for work outdoors in a 1.0 format. Each vehicle is processing two to three terabytes of data per hour of run time driving near people.
00:10:20 Charlie: Where there's a lot of people, there's a lot of labor. It's actually difficult to build a stack that drives near people because people are indoors and outdoors. So there's sometimes GPS denied, sometimes GPS enabled. They're in tight spaces. They have no patience for something that's slow. They want something to wrap around them.
00:10:35 Charlie: So there are all of these nuances about building safe autonomy near people, and that's really been our focus is how do you build the world's best mobility layer that is tightly coupled with an awesome piece of hardware that can drive safely near people across a bunch of settings.
00:10:49 Charlie: More practically speaking, every robot has 300 to 400 watts of compute. Every single robot has a modem on board. They're sending back novelty. So it's effectively a novelty engine. The more it sees weird stuff, the more weird stuff you get back. And as it sees weird stuff, it gets running into kangaroo, ditches, wheelbarrows, buckets.
00:11:07 Charlie: We have 130 systems in Australia right now, and about 375 in the US. You can imagine just the sheer diversity of things you see. Effectively, what we have is a data acquisitive mobility layer that drives safely near people that gets better in a continuous form.
00:11:23 Jenny: How many kangaroos have the Burros run into?
00:11:25 Charlie: I think there's one instance of a kangaroo towing a UV light at night. Actually, kangaroo bumping into and not robot bumping into the kangaroo. Actually, the other weird things is they're all these things that seem really simple to your reptilian brain, but are actually really hard. Like, is a void a free space? Did you drive into a ditch? How do you think about reflective water?
00:11:44 Charlie: I believe that on road autonomy is actually at times simpler than off-road autonomy because in the on road world, you're in a pretty structured space. Once you go into off-road outdoors or indoor/outdoor, it actually is a lot more difficult at times to move even though you're moving in a much slower speed. And we have this incredible dataset of how to move in that space.
00:12:05 Jenny: So now just shifting to AI, how are you guys utilizing AI internally at Burro, at the company? How has it accelerated the product, would you say? It seems like a huge accelerant to the robotics space.
00:12:21 Charlie: Someone recently asking me what my AI strategy was, and I didn't have the best answer for it. This is perhaps the more polished version of that thought process.
00:12:30 Charlie: Imagine you take two Tarzan like people and put them into the jungle. One has a blow gun and a dart gun and all of the supplies you possibly could imagine. And the other one has a loincloth, and that's it. Imagine those two survive for a year and you meet up with them in a year. Who's gonna be more hardened and more gritty and more prepared?
00:12:47 Charlie: I would argue the one that's a little bit less resourced is likely to be more prepared. I think that we are more of the less resourced, but highly adaptive one going into the real world with a lot of systems. We have effectively a $16,000 up to around $35,000 robot, which is fractions of the cost of something like an agility robot or a Boston Dynamics dog. We have a ton of them, and they're data acquisitive, but doing things with a lighter resource load around them.
00:13:14 Charlie: Effectively, our AI strategy has a ton of things running and suck as much information out of the real world to understand what's taking place within it and to do things in an economical format such that we can pull more and more data out of the real world even though we're not doing it with the same high cost sensors that some others might do.
00:13:33 Charlie: What does it actually mean more practically? Its 1,500 and 2,000 petabytes of data is what our stack has seen and pulled in over the past eight or nine years at this point.
00:13:42 Charlie: Practically, how does a user encounter that? One thing we will assume that is coming is robots with voice. So being able to speak to robots and say, hey, Burro, go over there, do that, do this. Secondly, old robots were hardware and software. I think new robots are physical AI, which means hardware, software, and training data woven into a really vibrant dynamic thing.
00:14:03 Charlie: We had our first GPUs on robots in 2018. We've been doing 300 to 400 watts of compute in the real world, sucking novelty back and getting smarter. Every single thing I'm seeing in the space is actually accelerating or getting faster.
00:14:18 Charlie: Five years from today, three years from today, you're gonna be talking with Burros. There's gonna be a lot more generative AI on them. They are more dynamic. There may even be a world in which we have something that's more of a generative AI type model running locally on system, although that's still to be determined.
00:14:33 Jenny: It's interesting you brought up that example because I do remember when we first met, you talking about the GPUs and how that was or was not gonna be scalable. But I imagine in this environment, as costs are drastically reduced, you guys have a real opportunity to put them on every robot and scale that up.
00:14:52 Charlie: I don't know if you believe in the singularity. I'm not quite sure if I do or don't yet.
00:14:55 Jenny: The podcast is taking a very interesting, potentially dark turn.
00:15:00 Charlie: At some point in the future, you're gonna have a shift from labor to capital. Capital will control more and more of what labor does. I finally believe that we're in the early innings of that. But I think that that will happen in the next twenty or thirty years.
00:15:11 Charlie: That being robots doing more of the work that people no longer wanna do in outdoor settings. If I lean into that, a decade from today, you're gonna be talking with robots. Robots are gonna be in grocery stores, it should be in warehouse and factories as they are already, in tons of outdoor settings. They're gonna be much more dynamic, they're gonna be incredibly capable of doing a whole generalizable set of tasks in a really wild way.
00:15:30 Charlie: We're in the first couple of minutes of the first inning of that game. Investors looking at the space probably wanna look for flywheel companies that have real world demand, that produce more data, that gets smarter, and therefore have more willingness to stand on the customer side and therefore can sell more systems.
00:15:46 Charlie: If you build a good enough flywheel there, you can start pulling more features and then become more of a generalizable layer, which is arguably what we're trying to do.
00:15:52 Jenny: Cool. Maybe you also have a career as a venture capitalist helping scout some interesting companies.
00:15:57 Jenny: Alright. I'd love to switch gears a little bit and talk a little bit more about building the company and what it was like. Are there any people that stand out that helped you along the way or made a big impact in those early years? Because I know what a grind it is. I built two companies, and I also watched you in those early years, and it was tough. So any unlocks for you that you can share?
00:16:21 Charlie: I'm nine years into this. People always ask question like, do you wanna exit? I'd love to do this for, like, thirty years. This is fun. But that said, the highs are very high, the lows are very low around building a company.
00:16:32 Charlie: I've had tons of people around me. I have two co-founders, Vibhor and Terry. Terry's now an adviser to the company. Vibhor’s is in it full time. I owe a ton to those two. Keeping truthful to what we're trying to build… My team is 55 at this point. I've got a leadership team smarter and better at every single thing that they do than I ever could be.
00:16:50 Charlie: There are a lot of people that are pretty perfectionist in the world. I think and try to avoid failure or try to control for it. One thing that's really been important for us is leaning into failure a lot and trying to fail early and often.
00:17:00 Charlie: One of my largest investors is group called S2G. They passed on me early on, but the pass was so thoughtful. Like, hey. Here's why we are passing. Here's what you should think about. I learned so much more from not succeeding and I think as a company we do.
00:17:15 Charlie: The team around me, my co-founders, and then the investors we have nearly every single one of which has passed on us at some point, but given us the why for the pass and has then enabled us to win them over later.
00:17:27 Charlie: From a fundraising perspective, at least, my experience has been a pass means come back and wear me out. Whenever someone passes on us, it's like, okay, I'm gonna wear you out. I'll come back in three months or six months, and I will have disproved this previous reservation you had and be one step further to it. Finding people that lean into that has been also very important for our success so far.
00:17:46 Jenny: The relentless founder.
00:17:47 Charlie: Yeah. Normally, these things are not built in a day. They take time to build.
00:17:51 Jenny: It's hard to talk to you without broaching this subject, but labor scarcity is a big issue in agriculture. And so I'm curious how are farmers in the industry responding to Burro as a solution, and how have you seen that change?
00:18:08 Charlie: We used to have a systems only in, literally a three hour radius of Delano, California. Today, we're about a quarter California, about two thirds US, about a third Australia, and there's a big tail of stuff in other areas.
00:18:20 Charlie: Two or three years ago, all this stuff with ICE raids and so forth would have been really scary for us. We're now nearing a point in time in which it's just a little bit more diffuse.
00:18:29 Charlie: There are no asparagus growers in California at all anymore. There's a bunch of stuff in California that you just cannot do economically there anymore because of immigration, water regulation, and so forth. Things have moved to other lower labor cost parts of the world, i.e., Chile, Peru, etcetera.
00:18:44 Charlie: We're not fully dependent on that. Increasingly, the things with immigration and ICE raids, I certainly hear ripples of it or rumors of it with some of my customer base, but it's not across the board because our customer base is still a lot more global in nature.
00:18:58 Charlie: Secondly, holistically, within agriculture at least, things are very seasonal, vineyards and berries. Those tend to be very seasonal. You have five or six months of the year where people are doing a specific task around harvesting, and then they go away.
00:19:10 Charlie: We're now more in things like nurseries and mowing, things that are more and more year round. I have found that the operators that have a year round workforce tend to be least impacted by a lot of the ICE raid stuff because their workforce is more in place. The more that operations have a year round set of work and a year round set of employees, the more they're able to have things that are a little bit less impacted by that.
00:19:31 Jenny: It's a really tough subject, so thanks for shedding some light on it. What keeps you up at night, Charlie?
00:19:36 Charlie: Oh, man. Companies go through different chapters, and we've shifted from “did this work at all” or “should this work at all” to “it works a bit and people are starting to buy it” to “it works and people are buying a lot of it.”
00:19:47 Charlie: If you imagine a light bulb or light switch, to test that product, it just doesn't turn on or off. For an autonomous system, it doesn't do the same thing every single time bringing a greater degree of variability in the real world. The more you have, the more variability you encounter.
00:20:103 Charlie: We confront a ton of things around making sure that we're safe, making sure that we do the same thing every time. Do you drive into a ditch, you drive into reflective water? Those types of things very much keep me up at night today.
00:20:14 Charlie: It's not so much hardware reliability. It's really hardware and autonomy at the intersection of more systems running and trying to make sure that stuff is safe and reliable with a greater number of systems and with more people using it. Reliability at the intersection of more systems or reliability means does it do the same thing every single time, always safely when there are more out there?
00:20:35 Jenny: Makes sense. You alluded to it a little bit about what's next for Burro. You said that your autonomous systems and agriculture is your first vertical. Can you give us the five to ten year outlook on where Burro is going?
00:20:49 Charlie: There are no big successes in outdoor mobile robots yet. There's Kiva systems in warehousing, which is incredible successful that have now become the Amazon robotics. Things like iRobot, which went through this boom and bust cycle in a way. Great, fantastic people, brilliant idea, but didn't work out as well as people would have hoped.
00:21:02 Charlie: We're looking at a space that is Mount Everest in 1953. It's big and it's there. Somebody will build a durable outdoor mobility company that will be massive. I think that we are going to build it.
00:21:14 Charlie: At the same time, in a world where literally everybody else thus far has failed, nobody's gotten to big revenue numbers and durable, highly profitable companies, I think that we are on our way to building the first.
00:21:27 Charlie: I'm gonna get a bit abstract here for a second. When I think about the transition from mainframe computers to PCs, early on would be like IBM, Sperry, Wang, Data General, all these companies, they build the hard drive, the chips, the tower, the operating system, the application that they would sell directly.
00:21:42 Charlie: Over time you have companies like Motorola builds a chip or Intel builds a chip. Apple builds the tower on the operating system. Adobe makes an application for it, and Circuit City or Best Buy sells it. Something similar is gonna happen in outdoor mobile robotics.
00:21:56 Charlie: I think that Disney Wall-E is ultimately a mobility operating system called Burro Operating System Software, or BOSS running on a Burro with some other companies building things that are manipulation layers in nature. We're really fundamentally building a layer.
00:22:11 Charlie: If you imagine five or ten years in the future, I think the Burro is the mobility layer from the near people, and it's the point and click and speech based operating system for movement outdoors alongside people and there are a whole host of other companies that are building things in and around that system. Then we have the largest suite of mobile robots in the world. So that's where I would like to see the world going.
00:22:32 Charlie: I also think the future is going to be fundamentally wild. Robots should be doing the things that people don't wanna do. There's fundamentally just a lot of good in the world around robots. The future is gonna be wildly cool without a lot of success cases one can point towards yet.
00:22:45 Jenny: Hopefully, we will survive the singularity.
00:22:48 Charlie: That too. I don't wanna sound too crazy in even suggesting that. There are different schools of thought on it. You'd imagine as value shifts from labor to capital, you presume we have a ton of demand for capital to capital scarcity. I don't think that that's all that far out in our lifetimes.
00:23:02 Jenny: Interesting. With that, we're gonna move to the speed round. These are quick answers to some fun questions. Is there a book that you're reading, a podcast, or some type of media… I know you're super busy, but anything that you're enjoying?
00:23:18 Charlie: My favorite book is a book by Roald Dahl called Going Solo. It's his coming of age book. And so it's when he was a fighter pilot, World War II. He was like a oil salesman then became a fighter pilot. It reads like Matilda, but it's his coming of age book, so I highly recommend that. I read a ton of, like, history, fiction. Everything from, like, Red Rising series to Andy Weir. Those are some things I would read, at least.
00:23:38 Jenny: Love it. If you could live anywhere in the world for just one year, where would it be?
00:23:42 Charlie: I’d live in my family farm. No need to live anywhere else.
00:23:45 Jenny: Okay. Favorite productivity hack?
00:23:48 Charlie: I like listening to everything at 1.5x or 1.75x speed and doing it while exercising. That's been what I've been doing at least, so probably that.
00:23:57 Jenny: That's fine too. It was funny. I was interviewing someone, and I was like, oh, when I play this back, I'm not gonna have to play it on 1.5x because you're talking fast already. Where can listeners find you?
00:24:10 Charlie: burro.ai. B-U-R-R-O.ai. Great brands on my space, Caterpillar, Bobcat, Deere, Burro. There's a place for Burro in the world, and I think that if you Google Burro robotics, you can definitely find tons of stuff about us.
00:24:24 Jenny: That sounds great. This was a long time coming, so I'm glad we made it happen. Super fun to talk to you, Charlie. I always learn something, and now I have some interesting work to do to understand the future of ag and robotics. So thanks again. This was super fun.
00:24:40 Charlie: Jenny, thank you. Really appreciate it. If you ever wanna come to Philly and see robots running, hit me up.
00:24:44 Jenny: I definitely do. I'll talk to you soon.
00:24:48 Scott Hartley: Thanks for joining us and hope you enjoyed today's episode. For those of you listening, you might also be interested to learn more about everywhere. We're a first check pre seed fund that does exactly that, invests everywhere. We're a community of 500 founders and operators, and we've invested in over two fifty companies around the globe. Find us at our website, everywhere.vc, on LinkedIn, and through our regular founder spotlights on Substack. Be sure to subscribe, and we'll catch you on the next episode.
Read more from Charlie Andersen in Founders Everywhere.