In short
Foundation Future Industries’ push to deploy humanoid robots for defense and industrial work, arguing the technology is progressing faster than critics expect. The episode contrasts Foundation’s claims with earlier skepticism about production scale and whether robots reached Ukraine.
Guest backgrounds
Mike LeBlanc, co-founder of Foundation Robotics Lab/Future Industries; former Marine Corps officer (12 years, three Middle East tours, Pentagon). Previously co-founded Cobalt Robotics, which scaled robots across nine countries and was sold in 2024.
Key claims
Humanoids are the best “workaround” for tasks requiring dexterity, bipedal movement, and human-like judgment. Foundation builds both hardware and software, including in-house actuators and a vision-language-action model trained from ~100 hours of task video. They’re the only company selling humanoids to the US Department of Defense. They completed a more robust 6-foot, 185-pound model; scaled production target from 10,000 to 6,000; opening a Texas production facility. For defense, they aim to automate narrow tasks (e.g., reconnaissance, placing explosive charges, removing bodies) and train contingencies via data collection with Marines.
Notable examples
Georgia factory deployment assembling injection-molded automotive parts (150-robot contract; 15x15 ft cells; cable management for tethered power). Ukraine trip in February reportedly blocked at the Polish border; later media claimed “two Phantoms” sent for reconnaissance.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Journey of Foundation Robotics
0:45 to 4:25
Discussion about the evolution of Foundation Robotics and its challenges.
“I first interviewed Mike LeBlanc, co-founder of Foundation Robotics Lab, back in January when the company was making a public relations push, claiming they were building humanoid robot soldiers.”
Interview with Mike LeBlanc
4:25 to 5:05
Mike LeBlanc introduces himself and shares his background and insights on robotics.
“with Sergey Levine, a renowned AI researcher, with his own startup, Physical Intelligence, where he talks about how difficult that is to do.”
Humanoid Form Factors
5:05 to 10:17
Exploration of why humanoid form factors are preferred in robotics.
“Why don't we start with having you introduce yourself and talk about your earlier startup, and then we'll get into Foundation and what you guys are doing.”
Dexterity and Strength in Robotics
10:17 to 14:00
Detailed discussion on the importance of dexterity and strength for humanoid robots.
“How, how, what, how do you, so the, the form factor, meaning, uh, bipedal, I mean, there are two legs, uh, for locomotion, but, uh, how, how are you, you guys, uh, working on dexterity?”
Humanoid Robotics Market Insights
14:00 to 18:47
Explore the current landscape and challenges in humanoid robotics.
“Yeah, I think most of the companies are.”
Military Applications of Humanoid Robots
18:48 to 21:48
Learn about specific military tasks that humanoid robots are being designed to perform.
“So we'll keep all the same stuff on the robot for defense, for business.”
Training Robots for Complex Tasks
21:49 to 23:33
Discover the methods used to train robots for specialized tasks through video data.
“So there are a lot of those that go into this real protector and shielding mode.”
Generalizing Robot Control Models
23:34 to 26:35
Understand the challenge of generalization in robot control and training.
“Yeah, so it's, you know, it's really interesting.”
Contingency Planning in Robotics
26:36 to 28:00
Examine how robots handle unexpected obstacles and the importance of contingency training.
“Tesla, I think, is brute forcing a lot of tele-opping.”
Training Robots in Real Environments
28:00 to 30:08
Learn how robots are being tested and trained in environments similar to their operational settings.
“And so there's some ability to use humans and training side by side to have humans handle whatever that situation is.”
Show all 25 chapters
Challenges of Battlefield Robotics
30:08 to 33:19
Explore the unique challenges and considerations for deploying robots in combat zones.
“Well, that's interesting because these robots aren't cheap, particularly at the scale you're at now.”
Power Supply Solutions for Robots
33:19 to 35:36
Discover how robots manage power supply and battery performance on the battlefield.
“Uh, but it'd be very hard to find a form factor that can do all unless it's a humanoid.”
Economic Viability of Robotic Automation
35:36 to 38:52
Understand the economic implications of using robots in industrial settings and military operations.
“We need to get a better perspective on a certain building or we want to go look at the enemy's flank, send out some reconnaissance robots.”
Robots in Automotive Manufacturing
38:52 to 41:24
Learn about the specific roles that robots play in automotive parts manufacturing.
“So I think 20 months from now is going to be shocking to a lot of people.”
Future Prospects for Robotics
41:24 to 42:01
Hear insights on the future of robotics and the rapid advancements in the field.
“And the first robots that we've deployed, they really only take a couple steps.”
The Rapid Progress in Robotics
42:01 to 44:55
Learn about the fearless attitude driving the development of robotics and the unexpected speed of advancements in the industry.
“But, you know, you guys have, you know, made all this progress in 20 months.”
The Wright Brothers Analogy
44:56 to 46:35
Discover the parallels between early aviation skepticism and today's robotic advancements.
“And there are all these problems with power supply and the strength of actuators and the generalization of the models that control them.”
Competitive Landscape in Robotics
46:36 to 50:08
Explore the competitive dynamics in the robotics sector and the unique positioning of different companies.
“And so I have that hanging, I have that framed on my wall, because I think that we are living in exactly that time where the humanoids are in their infancy.”
The Future of Labor and Humanoids
50:09 to 54:35
Understand the implications of humanoid robots on the labor market and the potential for job creation.
“There will be some that specialize in, you know, household robots?”
Robots in the Workplace
54:36 to 56:04
Learn how humanoid robots are integrated into workplaces and the positive reception from employees.
“I feel compelled to ask because it's such a part of the discussion these days because I'm a tech optimist and I think that the labor market will figure itself out.”
The Future of Jobs and Automation
56:04 to 58:20
Explore how technology replaces jobs while creating new opportunities.
“When the ATM came out, people said, it's going to put bank tellers out of business.”
Building and Testing Robots
58:20 to 1:00:06
Learn about the hands-on processes of robot testing and engineering.
“I mean, I don't want you to rank your competitors, but who do you watch and not necessarily worry about, but who do you see is on the right track?”
Pricing and Contracts for Robots
1:00:06 to 1:02:36
Understand the pricing model and contract structures for robotic services.
“And that's been the real innovation that we've figured out to get these robots out faster.”
Navigating Military Contracts
1:02:36 to 1:04:28
Discover the complexities of entering the military contracting space.
“but how did you penetrate that incredibly complex bureaucracy?”
Building Relationships for Success
1:04:28 to 1:06:12
Examine the importance of networking in achieving business goals.
“And so I think it's largely the same for us going into the military.”
Transcript
Automatic transcript. May contain errors.0:00Twenty months ago, we didn't have a robot. We had smiles on our faces and the idea of humanoids, right? And today, we have robots already deployed out in the world working for ships. I think all of this is a lot closer than anyone will think. I wrote something last year about humanoids and how the promise is way out ahead of the reality. And there are all these problems with power supply and the strength of actuators and the generalization of the models that control them. We're also trying to get the robots out, that's why I say onto the battlefield in Ukraine, to really hope to actually start putting them out there and seeing how do the soldiers want to use them?
0:40How do they actually work in a fight? How do they go up against drones? How do they go up against explosions? I first interviewed Mike LeBlanc, co-founder of Foundation Robotics Lab, back in January when the company was making a public relations push, claiming they were building humanoid robot soldiers. Mike was claiming they would produce 10 ,000 robots this year, when even Tesla fell far short of the 5 ,000 it had hoped to make in 2025. Mike is good company, smart, engaging, and by his own description, an optimist to the core. I, on the other hand, am a skeptic to the core. At the end of our podcast recording, I asked if I could tag along to Ukraine when he delivered robots there for testing.
1:31The trip happened in February. We got to Kiev, but the robots were stopped at the Polish border and never arrived. Nonetheless, Mike's public relations team managed to get a big spread in time, the venerable media brand now owned by Mark Benioff, Salesforce's CEO, the article talks a lot about robotic warfare, but fudges the question of whether any Foundation robots ever made it to Ukraine. It said simply that in February, two Phantoms were sent to Ukraine, initially for frontline reconnaissance support. But that was enough for news aggregators to pick it up, and pretty soon I was seeing headlines like, Robots in Real War, Ukraine Battlefield Tests Phantom Mach 1, Ukraine Deploys Humanoid Robots in Battlefield Reconnaissance, and Robots Are Heading to War, Being Tested in Ukraine.
2:35When I visited Foundation's operations in San Francisco in April, my skepticism grew. Mike's claim that the company went from an idea to building a complete humanoid in under two years, left out that he and his founders started by buying an existing humanoid robot company named Boardwalk. What's more, some of the military contracts he mentions were carried over from that earlier company. Foundation shop felt like a research lab, not a factory. The robots on the floor were relatively lightweight machines, nothing that could withstand the recoil of a military weapon. An engineer giving me the tour gave one a shove and it stumbled onto its knees held up by a harness.
3:25The operation was producing about one robot a day, which made 10 ,000 this year seem impossible. The whole time I kept trying to square what I saw with the company's pitch. Machines that would cross rough terrain in a war zone and carry weapons. I spoke to Mike recently, and he has several updates. A new, more robust model of the robot has been completed. Six feet tall, 185 pounds, with arms that Mike claims can each lift 80 kilos, more than 170 pounds each. And the company is opening a new production facility in Texas. They've scaled back this year's production target to 6 ,000 robots instead of 10 ,000.
4:17Mike said that Foundation is building its own AI model to control the robot. But see my earlier episode with Sergey Levine, a renowned AI researcher, with his own startup, Physical Intelligence, where he talks about how difficult that is to do. Mike said, Foundation is building its own actuators, the tiny motors that control the robot's joints and are the most critical part in any humanoid. That's ambitious. None of this means Foundation won't get there. I've been confidently skeptical about companies before. and turned out to be wrong. As I told Mike, Foundation's PR is running far faster than its robots.
5:03Here's the conversation. Why don't we start with having you introduce yourself and talk about your earlier startup, and then we'll get into Foundation and what you guys are doing. Great. Yeah, so I'm Mike LeBlanc. I was born and raised in Ohio and then left home to go to Annapolis, Maryland, where I studied the classics and saw the books behind me, learned to translate ancient Greek out there, and got deep into the classics. And as I did, that started to make me really look at war in a deep way, you know, looking at Thucydides and Lutarch and Aram, and joined the Marine Corps, much to my family's dismay.
5:46I was in the Marine Corps for 12 years total. I did three tours to the Middle East. during that time. And I was at the Pentagon and it was at the Pentagon that I, that I started looking at startups and I was looking at electric tanks and starting to vet what, you know, pocket drones, how these things could actually come in and how they could be used. And so as, as I did that started to make me really look at a lot of these companies, I was getting married at the same time. And, uh, and so got out of the Marine Corps, went to Harvard business school. And then as I was out of their co-founded Cobalt Robotics, which was back to, you know, we did our seed through Bloomberg Beta, our A through Sequoia, our B through CO2.
6:27So, you know, ran that for a number of years, grew it into nine countries, four continents, having robots all over, and then sold it in 2024 and started Foundation Future Industries, which is now the sole provider of humanoids for the, to the Department of Defense. Yeah. And so we were talking last time we spoke about this humanoid craze that has kind of taken over in robotics. And I was saying that I, it seems that there are many form factors that are, are more practical than, than the human form and i was asking why and maybe you can answer for listeners why everyone is focused on humanoids now and i know that the bad answer is the world is built for humans uh and the easiest way for robots to navigate is in the human form but there are all kinds of problems with the human form factors you know you balance and speed and and uh and battery life and all these different things that uh that frankly it'd be easier with either a wheeled robot or or even a robot dog we talked about the robot dog so uh yeah give me your view on the human form factor you know i think that we're really a species of workarounds.
8:04In everything that we do, we have workarounds, we have shortcuts, we have ways that don't really fit the way that we're supposed to do things, but that's how they get done. That's part of becoming an adult is realizing that the org chart doesn't represent the full view of relationships. And so as you look at all of these workarounds, you do have all kinds of things that just need to be through a factory, that need to be carried somewhere that you didn't think that they did, parts that need to be discarded, things that, you know, they need to adapt. And as you really start looking at that, you need dexterity and locomotion to do it.
8:38And so there are a lot of things that you can think about what form factors that could fit. But the only form factor that we know fits all of these jobs is the human form factor because humans are doing it today. And so, you know, to everyone who wonders about the human form factor, and I always did, you know, I would turn them to the question of why do we still have so many humans in all of these factories, right? I walk into them and they're packed with robots, right? There are all kinds of ABB and FANUC and industrial robots, but there are also human beings everywhere. And so that's always my first question when I walk in, as I say, what are all these people doing here?
9:16And that's what we'll spend the next couple hours as we tour any facility talking about is why are they still humans? Yeah, and is it the form, the human form, or is it the human judgment? I mean, is it the physicality or the mental capability that human provides? Well, the human hand is incredible. So that's a big portion of it. I think about that every time I'm balancing a mug of coffee as I carry in groceries and have a kid in my arm, right? And I'm still able to open the door. The human form factor is pretty amazing for things like that. But it also is, it's being bipedal and being able to move around all these spaces, being able to sidestep, move forward and backwards without taking up a lot of room that wheels might or that a base might.
10:07And then also the human judgment. When you put all of those things together, you start to really get an appreciation of the human design. You start to learn a lot about the eyes when you're going into perception. You start looking a lot at the mouth when you had to have the robot have speakers you know all these things are actually designed very well yeah and uh i mean you mentioned the hand i wasn't gonna go into the weeds right away but i i i did a piece for somebody uh on uh wuji hand the this hand out of china uh that's that uses it has the actuator uh the motor you know instead of the the most of the hands human the robot hands today the form human form factor hands uh use a tendon system so the the motors are are buried in the what is the wrist and then their tendons that run up and and work the fingers uh but there are a lot of reasons why that's uh not ideal and and there's a company in china that makes tiny actuators and they have a subsidiary named muji tech and they have built a hand with the actuators actually at the joints uh and it's an incredible if you haven't seen it look it up it's an amazing hand.
11:35How, how, what, how do you, so the, the form factor, meaning, uh, bipedal, I mean, there are two legs, uh, for locomotion, but, uh, how, how are you, you guys, uh, working on dexterity? I mean, what, what hands do you use? Well, there, there are two questions about, about the hands, I think. One is how dexterous are they? So how small of an object, how thin of an object can they pick up? Can they pick up a pin? Can they, you know, can they do electrical wires, things like that? The other is in strength. And so how much, how much can they lift for how long can they lift it? You know, can, can they pull these things up?
12:17How much torque, torque can they produce? And so when you're, when you're really looking at dexterity and strength, I think that there are ways to have actuators in the hand that have lots of dexterity. And I think if that's the hand that I'm thinking of. It's an incredible one. Watched it all over YouTube and immediately went to my hand team and I said, why aren't we using this? And they wrote back strength. Yeah. As a matter of fact, that's right. It's only got like 40 % of the strength of a human hand. Yeah. Yeah. And so that's where I think right now, as we're seeing that there's so many humanoid companies, it's a horse race for all of this.
12:53And you have to really think about where you want to land in that market. We are fully dedicated to businesses and defense. That's what we're making our robots for. Most other people are making it for the homes and business. But when you're making those kind of design tradeoffs and you're looking to fold a lot of clothes and do laundry, you're looking to empty a dishwasher, all those things, they don't require that much strength. And so when you're looking at defense use cases, when you're looking at industrial use cases, you want as much strength as possible. And so I think for us, that's why we've still kept things in the forearm.
13:31But these are all the kind of choices. We're out there with customers. We bring back all of their pieces. So if you walk into our office, you'll see parts from all of our customers. You'll see a lot of auto racks. You'll see a lot of big metal clamps that we're working for ports. You'll see all these things because that's what we test on. That's the standard that we need to get to. Yeah. And you guys are building both the hardware and the software. Is that right? Yes. Yeah, I think most of the companies are. There are a couple breakouts. There's physical intelligence. There's skilled that are both really just working on the brain.
14:12I think all the ones that were just working hardware seem to be getting scooped up. But we'll see. I think that really this is one of those problems where the humanoid is a lot more figured out than I thought before I got into this. And, you know, as I've gone around and seen everybody else's robots and, you know, you go to Germany and DLR, they're kind of NASA over there and looked at their humanoid. You really start to see all of the parts are the same, right? And you have a choice of what you're going to buy for each part, but it's really dwindled down. The only one that really is the standout is agility.
14:52Still has a very different form factor. But for everybody else, the hardware isn't, you know, you kind of know how to place it together. And everybody needs to solve hands. Everybody's facing the same challenges right now. Yeah, and actually that's interesting because that's one of the things that surprised me. that you were able to jump into this extremely technical market. I mean, you had robotics experience with Cobalt, but still, that's a pretty brave leap. But is it? Well, before I take any credit on that, my co-founder, Sanket, you know, he has all the... Oh, that's right. He's a robotist.
15:33Yeah. Between him and Patrick Bendersbach, our chief AI scientist, they've got so many papers all published all over and cited all over the place and these these guys are the brains behind this yeah yeah no i understand that and uh but but is it like the auto industry that uh you know the different factories stamp different uh shapes of sheet metal but or or whatever they're using now fiberglass or plastic but uh but the the actual parts most of the parts are coming from suppliers who supply to all of the the major uh car makers and and you know you you have some custom customization but you know a car seat is a car seat and the steering wheel is a steering wheel and, you know, the bearings and all that stuff.
16:38Is it like that? I mean, is there a world of suppliers to humanoid robotic makers or are these companies like yours building bespoke parts in-house? We're building a lot of bespoke parts in-house. So we have CNC machines. A lot of this, especially for me doing the second time around with lots of manufacturing in the past, you start to see, you think that your suppliers are these big vendors that make all of this great stuff and you can never touch their business. And then you go visit them and you find three guys in a storage unit somewhere and you're like, you know, hooked up to a generator and you're going, this is what I've been paying?
17:25No wonder I, no wonder I can't scale. Right. And so, so you kind of end up taking those things in the house. And we've, we've done a lot of that this time around of, of really saying what, what is a part that we, that we can make, how can we get as close to just taking things from nature and turning it into this, into this robot. Uh, but you know, with that, you, you are still going to have a steering wheel. You're still going to have tires. You're still going to have all of the basic parts, right. But some people are going to be building Ferraris and some people are going to be building Honda Yeah.
17:52Although when you get to actuators, that is an industry in itself. And, you know, there's no point in trying to build actuators from scratch when their companies have been doing it for decades. And so, uh, we are built from scratch. Are you really? Our actuators. Yes. And our, our actuators are really our, our differentiator, I think. Um, you know, because you, you do realize anybody that's, that's, you know, breaking down a humanoid robot, almost all the cost is in the actuators. That's, and, and that's where almost all of the speed comes from. That's where, that's where a lot of the problems are going to come from.
18:31So it's, it's, you know, it's one of these critical parts, right? The hand needs to be, you need to get the hand right so that you can do all the skills, but you need to get the actuators right so that it doesn't break down all the time that it doesn't that it can actually make economic sense all these things so so we are building those those in-house um and we've been you know we've been really excited about what we've been able to do on those they're they're extremely smooth and watching watching a robot you really really can see the the speed and you know uh yeah it's it's it's really amazing what our robot's able to do on that yeah that's interesting okay well let's let's pull back a little bit i'm sorry i got so into the weeds so quickly uh so you're building humanoids for industrial use and the military uh and when we spoke before you were saying that you're building at least for the military you're focusing on on specific tasks i think you mentioned you know getting out of a humvee or or you know being in a combat situation and having the robot go and place a charge on a door to to blow open the door which is for obvious reasons a very dangerous thing for a a human being to do uh yeah can you talk about the the how narrow the tasks are that you're training these robots for and and does do you do you have are you developing a control model i mean an ai model that that controls a robot that is that generalizes enough that you can use different hands on the robot for different tasks, that sort of thing.
20:28So we'll keep all the same stuff on the robot for defense, for business. The robot will stay as the same product. But yes, we're building world action models that will be generalizable to all of these tasks. Right now, what it's looking like is about 100 hours of video data that we put into each of these tasks. and that seems to be giving us out what we need and that's how we've gotten our first robot working 24 hour shifts, five days a week on the assembly line was through getting about 100 hours and tweaking, there are all kinds of little things that go into that but that makes it fully autonomous and so I think throughout defense we're the only company that's selling to humanoids selling humanoids to the Department of Defense And so you kind of go where the case leads you, right?
21:21You have some people that are looking at logistics, like motor transportation, fixing trucks, aviation, doing all of this, maintenance, refueling, things like that to aircraft. But you also have people that are interested in kinetic side and really protecting soldiers. And that is just like you mentioned, putting a water charge on a door, being able to blow that up, being able to carry out dead bodies off of the battlefield. It's a very, very dangerous task that a lot of people do, being the point man in a patrol. So there are a lot of those that go into this real protector and shielding mode.
21:56And I think right now, it's really just take as many videos of all of those things as we can. And we start building the models. So we're getting more specific about which ones we're going to automate, but we're very much hoping to get these onto the battlefield this year. And you mentioned the model, the kind of model. These are your training. These are vision language action models. Is that right? Is that VLA's vision language action? Yeah. Yeah. And specifically, latent space variable analysis is what we're doing, which is ultimately you're understanding the relationships between objects. You're understanding the physics of what's happening through these videos.
22:44So rather than having to mimic any direct movement or, you know, like a tele-opping would remember all of the different ways that you're grasping a cup. This actually understands the relationships between all of these things and then can make decisions about how it should go about interacting in the world. And we've had a lot of success of really automating that with a lot fewer hours than I think it takes on a lot of other things. It's like a world model building an internal representation of the environment or of the world at large. Not a specific environment, but it generalizes so it understands laws of physics and that sort of thing.
23:22Is that right? And then you use the vision language action, a model to train it using video. I'm guessing. I don't know. Yeah. Yeah, so it's, you know, it's really interesting. So everybody, everybody saw ChatGPT and, you know, all of these companies got perplexity and OpenAI and all these that are all using large language models. And those are all working. We just threw a ton of compute at it. And we had all of this language already out there, right? So it's able to pull from all of this huge corporates of language that we have on the internet. but we don't have all that kind of real world data.
24:02So there's big dearth in actually just picking up cups and things like that. So we do have videos, but we don't know if they're close enough, if they're at the right angles, if there's a way to use. I don't know if there's a way to use Seinfeld reruns and be able to train a robot, but we haven't figured that out yet. So instead, people have to turn to either doing this in simulation. so they they just have to build a robot like a video game and kind of train it there and then see how that comes on there that's that's a very good way to do it except that it's very tough to overcome the gap between the simulation and reality when the robot actually does it the second would be tele-opping so that's where you always see these people with vr goggles on and the gloves you know and they're trying to try to control these things you can train it to just do that over and over again and the robot will soon learn, okay, that's how I go there.
24:55And the other way would be video. And so for us, it is video. It's first-person video and third-person video. So we'll have someone wear a GoPro. We'll have them wear either a chest cam or we've got two that go on a helmet. And then we've got other ones that are sitting on tripods outside of them to kind of show the larger action that they're working with them. And, you know, I think as I've gotten, you know, more involved with the AI and looking at what our AI team does, it looks to me like these are all, it's not really you choose one. Everybody is using all of them, but it depends on the chef how much they use of each ingredient.
25:33And so I think that's where we're pretty heavy on videos and what we're putting into these. But what that ultimately creates is a robot that can understand and interact, you know, the world with the task that we fed into it. Yeah, but I mean, generalization is the holy grail for all of these robot control models. But you were saying that you focus on specific tasks. uh does that make the training easier and and uh the the the robots operation that much more exact or or not i don't know this is so ultimately as we train all these different robots to do these tasks they'll they'll all be out there collecting all this different data that we will turn into a generalizable model so i think this this was true you know true six months ago i think it's still true today, we're the only ones that are sort of taking the approach that Tesla took on cars.
26:36So, and that includes Tesla, Optimus. Tesla, I think, is brute forcing a lot of tele-opping. But the way that they did it with cars was they just had people drive and the car would just collect all of that data of exactly what was happening in the camera and exactly what did the driver do. And by doing that enough, it was able to create a model that would work to be able to navigate the world. And so I think for us right now, we're picking very, very similar tasks to each other, but there are, there are lots of differences that come in, in the actual, uh, in the, in the real world of pulling those things off.
27:09And so as we collect up all of that data, that will feed into a generalizable model. Yeah. Because even if you have a robot trained And to do a fairly specific task, like placing a charge on a door, the minute it's on the ground, moving across the ground, all bets are off because there's all kinds of unexpected obstacles. And how do you deal with that? Or are you reaching that level of generality that the robot can handle? Yeah, so it's been really interesting as we've broken down these tasks, because in almost everything we've done, there's the base case, and then there are contingencies. Contingencies have a very long tail, but don't pop up that often.
28:00And so there's some ability to use humans and training side by side to have humans handle whatever that situation is. Whenever a robot's out there, for example, it will be out there with Marines, right? They can go and handle some of these situations. but that's again where we're finding contingencies are are long but they're not you know the the probability of them is not as infinite as you would think but everybody knows the videos of you know a tesla that is that driving somebody's been you know sleeping in their in their car and there's a tree in the road and it crashes into that because that that was just a tiny tiny chance of that happening those things are going to happen uh that's that's largely going to be the case in these early models as we deal with them.
28:41But it's amazing how many contingencies you can really plan for and how much video data you can collect to make up for them. Yeah. And how are you testing these? Because again, you need to train them in an environment somewhat similar to the environment that they're going to be operating in. Well, as much as possible, we're getting onto our customer sites and doing these. So that's where we have all of our, you know, we already have robots that are working in auto manufacturing. And as I say, we're the first humanoid company to do that for 24-hour shifts. A big reason for that is we plug the robots in right now.
29:22Those aren't just on battery. But being able to take over 24-hour shifts, it teaches your robot a lot and it teaches your team a lot. Because all of our engineers, we have PhDs surrounding this thing at all times. and they're hearing the loud noises. They're feeling how hot it is in there. They're seeing how the press goes down and how they have to respond to all of these different actions. And so we've been doing a lot of that. We're also trying to get the robots out. That's why I say onto the battlefield in Ukraine to really hope to actually start putting them out there and seeing how do the soldiers want to use them?
30:00How do they actually work in a fight? How do they go up against drones? How do they go up against explosions? You know, what are all these things we need to build? Well, that's interesting because these robots aren't cheap, particularly at the scale you're at now. I mean, certainly scale brings down unit costs. But going to Ukraine, how many robots can you afford to lose? to lose. Yeah, well, I'm headed there next month to really look at this up close. But from what I understand right now, it's not quite trenches that everyone is in, but they're sort of strongholds that they're in. And the huge danger is anytime you're out of one of those strongholds, if you have to go and get supplies from a truck, if you have to go and set a landmine, anything that you have to do outside of that stronghold, the drones are just coming for you.
31:00And you are really naked out there as soon as you do that. So the thought, and what we've been talking to some of the military units over there about, is instead of sending a human to do those tasks, send a robot. So will those robots get hit? They may, but they're certainly cheaper, and you'd rather be a robot than a human yeah sure uh and we talked about robotic dogs which to me is just a much more stable platform uh than than a robot on uh on legs uh on two legs again why why not put it on a you know put an arm or two arms on a robotic dog uh even you could even have you know a dog that's six feet off the ground uh but it's just a much stabler platform is there a reason yeah yeah i think i think we're going to see a lot of different form factors coming in land drones right we have the skies are filled with them right now but there are a lot of people competing in the sea and and on land now uh the the dogs what the dogs have added to to war what they're what they're really going to add is is really incredible uh but i think i think again you're still going to run into things like if you need to search house for example if you need to go upstairs if you need to drive a vehicle if you need to uh you know use a cruiser weapon there there are just lots of examples to pop up that don't make a lot of sense for the dogs that you know again it was kind of funny when we were developing this because we started saying do we need a head was one of the early questions because we said we can do it right in the chest and as we actually started doing it because it's also ultimately two light industrial arms right and we thought we can just put a camera right in the center it's much more helpful to have a camera that's up and so all these things kind of start to make you appreciate the human form factor going no that really does make sense and you you do like a neck to be able to crane and be able to look at things you all of these things really go toward a purpose and and yeah for any of this if you want to if you want to be you know pulling out, uh, pulling out bodies.
33:13If you want to have something that can detain people, if you want to have, you know, all of these different interactions, you could probably find a different form factor for each. Uh, but it'd be very hard to find a form factor that can do all unless it's a humanoid. Yeah. Uh, so you're optimistic about, uh, a bipedal robot walking through uneven terrain and carrying a heavy weapon or, yeah. I think the unbeaten services have been amazing. And not just for us. You know, I see what the other humanoid companies are doing. And it's, you know, it wasn't too long ago that they were all kind of, you know, petering out there.
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33:55And that, you know, for us, that was right during the election. And we all said, you know, our robot walks just like the president. You know, we were like, it has a presidential gate because it walks like President Biden. Uh, you know, I think a lot of people had, had that kind of shuffle going, but, you know, as we've moved forward now, you see, you see robots that are running marathons. You see, you know, you see very, very agile robots and we've already started to hit all these uneven surfaces, be able to move through things. You know, we put objects in front of it. It knows which objects to walk around and which ones that can actually plow through.
34:27So no, and this, this is all in 20 months of work. So yeah, I'm, I'm very optimistic about, about what we're able to do on this. Yeah, that's fascinating. And so you talked about the deployment in Georgia, where the robots are are tailored to to the ceiling with electrical cables that feed power to them, so that they can operate 24 seven without people having to swap batteries and stuff. When you're on the battlefield, how do you handle power supply? We're doing that with battery. And this, again, really goes to the use case of how long do you need that robot to be running? So having a robot run 24-7 is what makes it make sense economically in a factory.
35:15If you're going to replace three shifts of workers that are each getting paid$60 ,000, you can make it make economic sense. On the battlefield, they don't need it to be working 24 hours. So they do have lots of loitering drones, and they have more concerns about what their airtime is. But for us, it really is these, you know, they would want to be able to turn on their robot, go pick up the supplies. The truck is here. We can pull those all out. We need to get a better perspective on a certain building or we want to go look at the enemy's flank, send out some reconnaissance robots. So it's going to be much more directed actions, I think.
35:53Yeah. And so your battery, what is the battery like? Right now, four hours, you know, and we're hoping to extend that. And I think that batteries are one of those interesting things that, again, you kind of have all of these different startups, right? A hand, a robotic hand is a company all in itself. A battery is a company all in itself. You kind of have all of these different ones, but batteries are a place that I think that the industry is making a lot of gains. And that makes it easier for us to start picking up and getting much longer times. Yeah. And so the idea would be a team would go out with a couple of these robots or one robot and a whole bunch of battery packs and they just swap the battery packs.
36:38And yeah. Yeah. We've had a lot of, you know, the imagination runs wild when you have a human shaped robot. And so we've had a lot of different decision makers in the military thinking different things. But one that we've heard a lot of is attaching robots to trucks, figuring out some way to have robots kind of tucked up and on the sides of trucks that as they arrive, they can just pop these down and have the robots, you know, first walk a perimeter around to make sure that there are no landmines, no IEDs, anything like that, right? There are all these kind of different use cases that people are coming up with, but a lot of them converge on that.
37:15And, you know, so you'd kind of have the truck as the central place that would have batteries. and we will get to the point that our robots can change each other's batteries. So we'll find this fully autonomous command center. Yeah. I mean, this all sounds very futuristic, sounds possible, but it still sounds like we're not there today. How confident are you that you'll be able to deploy successfully on a battlefield in a certain time frame? And what time frame are you looking at? You know, I think I'm just as confident as I am that my kids are going to be able to drive cars. They're going to get married and buy houses.
38:03And, you know, a lot of this is you look at it in its infancy and it is hard. It's hard. My kids are six, seven and eight years old. it's hard to look at them and start thinking, oh, they're going to do taxes, right? Because they're not there today. But when you really look at how quickly they're growing, and when you really think, you know, when I think back to two years ago, how my kids were talking, how they were acting, how they thought, right? And where they are today. That's where you start to go, yeah, we have this very linear view of what growth and improvement looks like. But for robotics, especially.
38:38I think if you look 20 months ago, we didn't have a robot. We had smiles on our faces and the idea of humanoids, right? And today we have robots already deployed out in the world working full shifts. We have robots that are ready to walk uneven surfaces and go out into the battlefield. So that's all just in 20 months. So I think 20 months from now is going to be shocking to a lot of people. I think all of this is a lot closer than anyone will think. Let's talk about the Georgia deployment. What exactly are the robots doing? So it's almost all injection molded parts. So, you know, all of these other FANUC robots and things all make all of these parts.
39:25They clip them together. They come out on a conveyor belt. and when we arrived there it would be you know a human that's standing there a person on an eight hour shift the the parts come out in different spaces on the conveyor belt right so there was there's a little bit of adaptability that needs gone there they they would put a label on it they would do a quality control check with a with a camera and then after they marked it good they would put it into the packaging if it was bad they would they would move it to a separate rack where it would get taken away. And so, you know, as we looked at that, we thought we could probably handle something like this.
40:01And I think it was what, April to November, never do math in public, but I don't know, six months in or so that we did a proof of concept on this. And we brought our first robot out. That robot was on wheels. When we did it, we didn't have the legs yet. And the robot was able to do all the parts. So we did that for hundreds of parts for all their executive team and they now said this this looks like it's worth moving forward uh and so we now we have a contract for 150 robots going and doing those tasks uh and that's that's what we're we're deploying and we're we're working to to get all those robots out um but they're they're very very similar tasks different parts but very similar yeah what kind of a factory i mean what's the product that they're assembling it's a it's an automotive oem so it's they they make parts for you know they they actually they make a part for my uh uh land rover you know so it's funny as you go out there it's a little plastic cladding part on the outside of the door and i go yeah you can pop it off and see that's made in that's made in georgia and the power uh presumably was that difficult to design the the cabling so that these robots don't get tangled up not at all oddly enough.
41:18You know, I thought that was going to be a real thing. It was the thing that we talked about a lot before we went out there. But really, so all 150 of these operate in a 15 by 15 cell or smaller, 15 foot by 15 foot. There's nobody that moves that much. And the first robots that we've deployed, they really only take a couple steps. You know, at most, they're probably taking five steps. And, and so it's interesting. We have, we'll have the robot move, uh, just move backward instead of, uh, instead of like turning, turning around and doing these things. And so the cable really just hangs there and can, you know, it's, it's like, um, like, uh, you know, my dog, when I put them on a, on a running leash out there, it just doesn't get tangled.
42:00Yeah. Uh, yeah, that's interesting uh the dog analogy the uh uh where do you so you guys are 20 months in i mean it's incredible um and maybe it's it's the fearlessness that comes with someone coming in fresh i don't know because a lot of the researchers that i've talked to are so cautious about capabilities you know uh and frankly what i've seen until fairly recently with uh optimists or They don't blow me away and they don't look very robust. But, you know, you guys have, you know, made all this progress in 20 months. Where do you see this going for you and for the industry? You know, to me, this really is one of those cases where the attitude and approach makes a huge difference in how the technology develops.
43:15And, you know, I think everybody saw there was a viral video. I think it was out of Germany or Russia. I can't remember where it was out of, but the robot that walked on stage and fell. And, yeah, and the guys run out to cover it like a car accident and they're very frantic about it. It is not hard to find videos of our robot falling. But what you'll see when it falls, you know, is Sanket and I will be standing next to it. It will fall. And we continue conducting the interview as we lift it back up and get the robot working. Because I think that we coming into this, you know, we're not shy about saying this is very new technology.
43:53All of the stuff that we're solving, you know, we're very, very honest about where it's at. but as you do that throughout the whole team and you don't have these kind of marketing lies that are built up and things that you're hiding behind and trying to make these highly curated videos, you have a team that is actually able to deal with the problem that's happening. And when you have very smart people that are directed toward those problems, you can get those problems solved. So I do think this is an interesting time where the experts in all of the specific tasks have kind of too much project fatigue for them to really see how quickly this is going to move.
44:30And so I'm still shocked. I'll talk to other founders and they'll be saying, yeah, I think we're 10 to 15 years out. And I go, you better get ready because we're making 10 ,000 this year and I'm not going to keep those in a storage unit. These things are getting out in the world. Yeah, and that's, I think I told you, I wrote something last year, early last year, about a year ago about humanoids and how the promise is way out ahead of the reality. And there are all these problems with power supply and the strength of actuators and the generalization of the models that control them. Particularly, there was talk, and there continues to be, of household robots that will be your housekeeper.
45:29And I have been very, not skeptical that it won't happen someday, but that we're even within 10 or 15 years of that, that it's going to take a long time to get that level. this is this is so funny because i have you know from from your alma mater well i call it the new york times i have hanging on my wall the new york times you can print any old copy of the newspaper any page right and so i went through the archives and found in i think it's 1906 i think it's october 1906 there is an article that says why there will never be heavier than air flight and it says so many people have been trying planes and and the the analogy that it uses this is the math that it does it says uh you know if you look at how long it took birds to evolve right you would already have you would already have almost a million years and to do that with metal which is even heavier is going to be even harder and so the the writer says that it's going to be between 1 million and 10 million years for human beings to to a deep flight and three months later you had the Wright brothers that were first in flight.
46:38And so I have that hanging, I have that framed on my wall, because I think that we are living in exactly that time where the humanoids are in their infancy. I think that a lot of people working on them don't believe in them. I think a lot of them still think, yeah, there's funding coming in, but these things aren't going to turn out. But as I look at this, we are the Wright brothers. These are going to be working far sooner than anybody thinks. And people are going to be shocked at the change that it makes in the world. Hyundai is famously, as they were featured on 60 Minutes, using or at least talking about deploying Boston Atlas, Boston Dynamics, Humanoid.
47:20And Boston Dynamics is tied up with DeepMind, Google DeepMind, who would be terrifying to me to have to compete with them. I mean, first of all, with Boston Dynamics, because they've been at this for such a long time, and the criticism of their robots used to be, yeah, but it's all teleoperated. There's no AI controlling the robot. But now they've got DeepMind, and they've got a refined form factor. I mean, it's pretty impressive. Doing in the video I saw doing something similar to what you're talking about in Georgia, picking up parts, scanning it for defects and then moving it to where it needs to be.
48:07How do you see the competitive landscape? Is this a market that is going to be so large that there will be many players or do you feel pressure from people like Boston Dynamics and Deep Brain? Oh, we feel a lot of pressure. Yeah, absolutely. I mean, this is and that's that's why we work, you know, six, six days. Some of our teams work six days a week. Some some teams work seven days a week because this this is a huge race against all of these. but you know when i when i look at boston dynamics i loved watching that 60 minutes i watched it with my kids getting ready the other day the other morning uh they are doing almost exactly the same task so if you look at what the parts they're using i mean they look almost identical to what they're doing some nuances in the video are they're doing it in a replica site to the side of the factory they're not doing it on the manufacturing line they're not running anything close to to 24 hours and uh as you actually watch the tasks that they're doing they're moving a lot of things from racks to tables, which is a capabilities demonstration, but it's not the actual task.
49:15I'm sure that's not, nobody needs parts taken from a rack and put on a table. And so when I look at that and I think about how long Boston Dynamics has been around and in space, and when I look at us and what we're doing today and how long we've been in space, I don't feel that worried. So you can throw in lots of, you know, Google DeepMind. I mean, going against Elon, what's more scary than going against Elon, right? But as I look at those, I think a lot of people are making these design choices that are going to be much more lightweight. They're going to be hoping to get into the home. And the ones that are focused on business like us, I don't see anybody that's moving anywhere as close to as fast as we are.
49:55So we'll see how many winners there end up being in all these spaces. But as of right now, I think as long as we keep pushing on this as hard as we have been, we've got momentum and we're going to see these things really fly. Yeah. And do you think that then there's room for many players like there will be someone specialized in military grade robots? There will be some that specialize in, you know, household robots? Or do you think there will be kind of an iPhone of robots that can be applied or tweaked? Yeah, I think it's going to look a lot more like cars. Right. And that's why we've been really focused.
50:36We always say we're building the pickup truck. Everybody else is building the Prius. I think that you are going to have to have these lightweight, low bomb cost consumer robots. If you really want to get it out there to lots of homes, it just doesn't make economic sense to make it very expensive. So you really need to hit even the$20 ,000,$30 ,000 that Elon's talked about. that's still pretty expensive for what these robots are going to do. For us working in businesses, when you're working on ports, when you're replacing specialized jobs that, you know, I just looked at Ford is having trouble filling all of these positions for$180 ,000 a year.
51:17When you're facing those kinds of things, you can make a much more robust robot. And so I don't see that landscape changing anytime soon. And I think there probably will be different models that are doing those things. And so there's room for for many companies. Once it's solved, it's sort of an endless market. Right. Yeah, I think I think is as varied as the cars you see on a road. Right. So you see you'll see a cycle. Right. There's going to be somebody with a tiny unit tree. You know, those things are like three feet tall, but they'll have that for crawling in attics. I don't know what they're going to have them for.
51:54But you'll see that all the way up to, you know, very heavy and much larger robots that are able to lift a lot more. And who knows how big and robust those can get. Yeah. And, you know, you don't have to talk about this, but you're new and you're venture funded. I guess you have a little bit of revenue coming in, but how long, what's your window? So, I mean, at a certain point, a lot of these companies are going to run out of venture funding and, you know, get gobbled up, I guess, by people like Boston Dynamics or Optimus. Yeah, no, the thought of being bought by Boston Dynamics is absurd to me.
52:43But, you know, we might buy them. You never know. They've got some good stuff. I really threw it into something. We've got very robust funding. And the interesting thing is, this is not a hard thing for investors to see and to see the power of. I think if you look across human history, we've really been subsidized by slavery for almost all of it. When we finally finished slavery, it was with the help of the Industrial Revolution. And so robots were actually able to help us stop that. But then we just started new slavery under the name of globalization, and we just shipped it off to China. them.
53:20And so, you know, I, again, I was a classic philosophy major. Aristotle says the only way that you'll ever truly get rid of slavery is with automatons, with things that are able to do their own tasks. And I think that is the age that we're living in. And so when you're dealing with such an existential question, everyone just understands that in their bones. And so as you can show them, you know, this is a very visual product as they see what we're able to do autonomously. When people come, we bring investors to the factory to actually look at these robots. And it's not that glamorous, right? They're not that fast.
53:53They're moving within the same time that a person does. It's 60 seconds per part that they have on these. Some of the work cells are 52 seconds, but they're all right around there. As they see it doing that, and they talk to our customers and they go, you actually sent three people home because of this, right? You're actually recognizing ROI. I think that is more surprising to them than seeing a machine that's able to walk like a human. The fact that we're actually employ robots to save money. So I think there's always lots more funding when you can, when you're saving customers money, you, you have very, a lot of power to go scale.
54:30And when you have a lot of power to scale, you have a lot of power to raise capital. Yeah. And I hate this question, but I, I feel compelled to ask because it's such a part of the discussion these days because I'm a tech optimist and I think that the labor market will figure itself out. But just that, being able to replace workers with humanoid robots, does that concern you or how do you see that play? No, not in the least. I really, I look at these tasks and you'll watch these people. I'll sit up, they have little ladders that you can climb up and I'll sit there and I'll watch them for hours.
55:11I'll be looking across the factory and I'll be watching these people pick up a piece of plastic, hold it under camera, put on a label, put it in packaging. And I think all of these humans have stolen robot jobs. These were all stolen from robots and we're taking them back. I think that is nobody wants to go to work. We hang with all these people. My, you know, my wife will come on site. She brings all these fancy Starbucks drinks for everybody. And we walk around and we talk, talk with everybody in there. I don't know anybody in the plants that we're operating in that is upset that the robot has taken job.
55:44It's just the same as a FANUC robot coming in and doing something. Our most frequently asked question, I always say, is, can I take a selfie with it? People love to come up. They love to say we're working with humanoids. And I think that overall, the best example is really ATMs. right? When the ATM came out, people said, it's going to put bank tellers out of business. But sure enough, it actually just meant that we expanded the number of banks to the point that we have more bank tellers today than we ever did before the ATM. So, you know, with any technology right now, we're replacing a lot of jobs.
56:20But then I think very quickly, people see that they can expand because they have this technology. So they go, we can start a new plant. And then people start realizing they can do fully new tasks because they have this new capability. And so, you know, where all of that goes, I'm very optimistic about how many jobs that's going to create, how many human beings still need to be involved in those processes, and how cool the work is that they're going to be doing because it's very fun working with robots. Yeah, yeah. And you were saying at your offices you have robots roaming around. Are these prototypes or is that part of the testing?
56:57No, yeah. So these are all, you know, if you walk in, you'll just see a lot of engineers focused on their computers and looking over at the robot. Right. And God knows what they're looking at and what they're looking for. But that that is the job is really we run them on these replica sites. We build exactly replica sites of our of our customers work sales. We do those both in our German German office and in our San Francisco office. and but these these robots are always walking around doing some kind of testing uh sometimes you know we had to have we had a customer that wanted to see how long the robot could stand they wanted to make sure that it could just stand there for 24 hours without moving and having to catch itself so there was one day that we were just videotaping that uh there are other days that for hours the robots uh we just test how they do just walking back and forth just a walk and a turn just a runway walk and we'll we'll run that for hours just to see see how it all goes so it's i always say it's like willy wonka for adults it it has this just really cool feel when you walk in there of and and you feel optimistic when you walk in there about what the future is going to look like yeah yeah and do you think that you're uh on par with the other players do you think you're ahead of them is from you've said you're you're deploying more quickly uh or do you think there are others that are ahead of you.
58:20I mean, I don't want you to rank your competitors, but who do you watch and not necessarily worry about, but who do you see is on the right track? I think Figure and Optimus look really good. You know, I think the reason that we've been able to deploy more and on full contracts, not on pilots and these little tests, that really comes down more to solving the whole problem. You know, and I see this, this is in startups. I see this all the time that they kind of go in and they handle just some base case, but they can't make an economic case. There was a robot a couple of years ago that was dipping fries into a deep fryer and taking them out.
59:06And they were saying, we're going to replace the fry cook, but they couldn't open the bag of fries, right? That to me is, that just encapsulates everything that people do wrong. in their go-to-market strategy. And so it's interesting, when you go back and look at Edison, the most important part, I think, of what Edison did, there were already light bulbs around, right? He didn't, and electricity has always been around. He didn't invent electricity, right? But he realized you needed to have a power plant and he realized you're gonna need to do that for all of the homes around. And so he solved the whole product.
59:36He was able to put it out there and then made the innovations to make it cheap enough that it was worth people getting. It's those kind of human and economic conditions that you really need to satisfy. And that's why I think that we've figured out a way to get these robots into action a lot sooner than anybody else has by really just looking at the whole product, putting ourselves in the customer's shoes and saying, what am I paying today? How robust does this robot need to be for me to really trust that this robot can do my part? And that's been the real innovation that we've figured out to get these robots out faster.
1:00:12And what is the pricing? Do you have a target price point? I mean, regardless of, obviously, it's, you know, you can't, you know, optimize cost when you're starting up, but you were saying 10 ,000. What did you say? How many robots this year? these are yeah we'll make 10 000 robots this year yeah um so right now we're we're only working with six customers we're keeping it very tight uh and that's that's because we have a hundred robot minimum at any customer so the the contract size we're working with are you know the the largest contract that we're working with is 2 000 robots but they all kind of need to be in that range um and yeah and for for these robots for the initial users it's all 100 000 per year per robot But it will go up from there as they become more robust, as they're able to take over harder jobs.
1:01:08The prices will go up. But for all of these initial customers, we have the same deal,$100 ,000 per robot per year. And that's are you essentially renting the robot or are they buying them? Yeah. Full lease that includes all, you know, us coming and fixing them. If they go down, it has all over the air software updates. It's it even has if the robot goes down, we have built into our service level agreement that a human being on our side has to come and do the task while the robot is down. So there are all kinds of contingencies about how this has built up. And a lot of those we took the same structure from from Cobalt, my last company, where where we did have, you know, hundreds of hundreds of these robots out there and had to really learn how how do you fix a robot when it goes down in Singapore?
1:01:52Yeah. Yeah. Although I don't think you're going to be sending employees out to the battlefield to stand in for an open robot. Yeah. Is that the same? Is the cost higher for the military grade? For the military, we've been working different pricing in different use cases, and they have their budgets work differently. it's very hard for them to go on a subscription. So we're doing some outright buys and then they have some maintenance that they're able to buy on top of it. But yeah, we're still evolving what those contracts are going to look like. Yeah, and you have contacts in the military having come from the Marines, but how did you penetrate that incredibly complex bureaucracy?
1:02:42I've spoken to a lot of startups that have products that are relevant for the military, but they don't want to touch it because it's such a time suck trying to get through. I think, did you say that you have a relationship with Anderil? Well, so Anderil, we've had, you know, Palmer Luckey has spoken through our robot several times. So we actually dress it up in a Hawaiian shirt and the shorts and a mullet wig. So it's been very cool to see, yeah, to see him talking through the robot and we'll continue to do that uh whenever whenever he can't make an event a robot will be there uh but no really really breaking into all these things i i think that the military gets a bad rap for for its ability to purchase things uh i you know i've sold i've sold to amazon general motors you know uber doordash salesforce you know a lot of a lot of big names city bank you know at kobold they're all hard to break into yeah it's it's hard to sell things to a business.
1:03:43And the reason, you know, there is a lot of red tape in a lot of these places. But the real problem is there aren't just full decision makers that can just simply say that's going there and nobody's going to say anything about it. It's every decision that they make is political. And so you have to build coalitions. You have to, you know, you have to get a large tent if you want to put these things out there. And I think the military is largely the same. So we've talked a lot with Congress about this. We've talked a lot with generals roles about this. We've talked a lot with just soldiers on the line.
1:04:16And you really have to work all those different angles, just as going into a big enterprise deal. You have to talk with the workers, you have to talk to their supervisors, you have to talk to the CEO and the private equity company that owns them. You've really got to understand all those different aspects. And so I think it's largely the same for us going into the military. And which service are you working with? So we have contracts with the Army, Navy, and Air Force. And then we're just beginning with the Marine Corps. And we hope to begin with the Department of Homeland Security this year. Yeah.
1:04:50And the point to get into those, do you approach each or are you going through the Joint Artificial Intelligence Center? We go talking to everybody. And this is, you know, for, for me, I, of course have everybody in my peer group is a lieutenant colonel. So I know a lot of battalion commanders. Uh, so there's just a large group of those in my phone that I can, can call at all these times. Uh, but there, there are also a lot of, a lot of generals that, uh, that I know through Harvard, a lot of Marine generals go through Harvard. Uh, so, so I know them there, there are just a lot of contacts that pop up and, you know, we, we were able to go to the white house, uh, last year.
1:05:28Um, we've, you know, we've, we've been in contact at the highest levels of government talking about this. And so I think a lot of it is putting it on number one's radar, getting a lot of people comfortable with us and with what we're doing. And we'll start to see some very big contracts come out of that. Yeah. Well, you're a very good communicator.
1:05:54I have to say, though, I remain cautious. well you're gonna have to have me back on Craig we'll check back in in 12 months and I'm gonna go Craig we're sitting here on January 8th 2026 and it didn't seem like it was gonna happen we have 10 ,000 robots out today yeah yeah absolutely we'll see where we're at
From the publisher
Most humanoid robot companies are still running curated demos in replica environments. Foundation Future Industries is running 150 robots on real automotive production lines in Georgia, and heading to Ukraine this year to deploy on the battlefield. Mike LeBlanc, the co-founder of Foundation Future Industries - currently the only company supplying humanoid robots to the US Department of Defense, with contracts across the Army, Navy, and Air Force, joins Craig Smith to explain why the race is moving faster than almost anyone in the industry believes, and why the companies that are moving cautiously are about to be left behind. His frame is striking: he keeps a framed 1906 New York Times article on his office wall predicting that human flight would take between one million and ten million years. It was published three months before the Wright Brothers flew. He thinks humanoids are in exactly that moment right now.
The conversation covers the full operational picture: how Foundation trains robots using video rather than simulation; why the fry-cook robot that couldn't open the bag of fries is a perfect metaphor for everything wrong with how most companies approach go-to-market in this space; why the human form factor isn't a philosophical preference but an empirical fact, humans are still doing every job in every factory that other robots can't, and that's the proof of concept; and why Mike LeBlanc isn't particularly worried about competing against Boston Dynamics backed by Google DeepMind, because they're still demoing in replica sites while Foundation is deploying on production lines.
The episode ends with a bet: LeBlanc tells Craig that in twelve months, he'll be back to report 10,000 robots deployed in the world. Craig says he remains cautious. One of them is going to be right.
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