From Innovation to Action: How Skydio Technology is Transforming the Home Front and Front Lines

Explore the groundbreaking ways Skydio commercial innovations are also used in defense-critical tasks. This session delves into how our customer-driven engineering process drives dual-use advancements, from radio frequency resilience to advanced visual navigation systems, and the ability to operate in austere locations. Discover how our autonomous drone technology is rugged enough to withstand all manner of battlefield conditions. We’ll also preview how Skydio is ready to meet the challenges of the Replicator Initiative with our multi-drone capabilities, designed for distributed, autonomous operations with human oversight.

Well, thanks for joining us, everybody.

I know that you've just had lunch, so we'll try and keep it upbeat and everything on track. But I really wanna thank everybody for coming out because I think we've got some really interesting stuff to discuss today. We're gonna talk with a couple of experts in two different areas where we're focused on for defense and government. But I know that Adam mentioned how Skydio is supporting defense and government in the keynote yesterday.

Skydio is one of the only drone companies in our class that has dedicated people that go around the world to support our customers in every region. We have Skydio in every, US five I nation. We've had Skydio employees go from Philippines to Australia, New Zealand. We've had Skydio help train US forces.

We've helped provide humanitarian aid in Haiti. We work with multinational forces in Europe, help train the UK, and Skydio has a presence and a dedicated interest in helping defense forces do their jobs even better around the world. None of this would wouldn't would be possible without some incredibly talented, engineers and without having a dedicated staff of highly experienced prior military veterans that serve now at Skydio. And so we're honored to have two of those such people here today.

So I wanted to embarrass them. I mean, explain a little bit of their backgrounds, today, but we'll start with Mark. Mark's got twenty seven years in the air force, a fighter pilot, been on thirty missions, flown in combat. He's worked for the joint staff.

He's worked at FEMA, and he's done a ton of great work, not only in the military, but also worked for Microsoft and Shield AI in the world of technology. Ai. Or Scale AI, pardon me, to really advance what we're able to do with defense forces. And then we have Kyle.

Kyle is an engineer and a scientist, and his accomplishments are pretty impressive, so I wrote them down. I have to read them. But he's got a career of leading and developing innovative autonomy solutions. He founded Raytheon BBN Technologies Unmanned Innovations Lab.

He built situational awareness tools for first responders.

He's was a visiting scientist at the University of Edinburgh for artificial intelligence applications institute. He's developed the Android team awareness kit and the tax server for, military and law enforcement, developed CCAS with DARPA, which is gonna pave the way for, autonomous collaborative teaming with drones.

He's been a senior scientist and engineer. But one thing that I did wanna mention that I think is most important that he also plays the drums, the piano, and the ukulele. So, he's totally qualified in every aspect of anything you need to be able to accomplish.

So I I wanted to kick that over first to Mark to to talk maybe on the overview, if you could, Mark, about what we're doing to help defense and government advance their capabilities around the world.

So I guess we should have brought some guitars and ukuleles. We could have done all this to music. Awesome. Appreciate everyone being here. Thanks for your time. We're we're here to talk about innovation, and taking innovation to action.

I don't think you can divorce the concept of innovation from this idea of resilience.

And part of it is making a product that is resilient, and another part of it to pick on a thread that general Ryan and I spoke about earlier today. I think it takes a resilient organization, that can continue to learn and adopt and be part of this innovative engine. So since I'm gonna tell a little story about resilience, we should probably start with a definition. You can read the screen there.

I'm a pretty simple guy. I'm a product of the Alabama public school system. So when I think of resilience, I just think of it as the ability to take a blow and then get back up and keep operating. So that's my operational definition for this discussion.

So when you're building a product that is resilient, there are a couple of different ways to do it. K? You can get thousands of requirements. In in a hundred years, you can develop the death star.

K? And it is so impenetrable, that you're not worried about taking a blow because it's not going to affect you. Problem with that is that there are still vulnerabilities, and we all know a little farm boy from Tatooine, ended up taking one shot and taking this thing down. So that's one way of building resilience.

It tends to take a lot of time, a lot of effort, and you're still not one hundred percent, invulnerable. The other way of doing this is make a whole bunch of really small things. Hey. Get them start them out at the eighty percent level and then just rapidly iterate over time.

So I tend to fall into that category where I think that is the better option. And if you are going to do that, it implies that you can do things quickly. And, again, I am a recovering fighter pilot, so I'm an adherent of this gentleman, John Boyd, who operationalized this idea of an OODA loop. And the key part of that is being able to operate at a faster pace, than your competitor, and that's how you win.

So, I'm gonna tell a story right now about some resilience in action, if you will. Some of this is organizational, and then some of it is kind of product and feature focused. So this organizational resilience story starts in Ukraine.

In twenty twenty two, we all know that the Russians invaded Ukraine, and the rush or the Ukrainians in their attempt to defend themselves basically used every and all technologies that they could find. And they found a niche with small UAS.

When the war kicked off in twenty twenty two, the donor community came to Skydio, and they said, we need everything you got. Send it over.

There was one little problem with this. The drone that we had at the time, was based on requirements from the United States Army, and this is not their fault. We're all slaves to this requirement system. But the army was leaning forward in twenty fifteen ish and wrote a bunch of requirements for a drone that finally got delivered in twenty eighteen to nineteen ish. And so those were the drones on the shelf, and they had a single band radio that we were pretty sure was not going to operate well in Ukraine.

But people said people are dying. They need these things. Get them over there now. So we did.

As predicted, they didn't perform very well, and we at Skydio took a huge reputational hit when these things didn't work, even though we're like, we're pretty sure these aren't gonna do what you need. So we could have stopped right there and wrung our hands and went, well, you know, this customer needs this. We're just gonna keep doing that, but we didn't. K? We kept engaging, and we sent at current time, we've, been to Ukraine roughly thirty ish times in in the past two years. And over the course of that, it took us a little while to get going. We were able to develop a multiband radio.

And now with that radio, it performed a little bit better. And we realized and by the way, if anyone questions whether small UAS are actually having a strategic impact, all you need to look at is the expense and the time and the effort the Russians have executed trying to deny the strategic capability to the to the Ukrainians. And so the way they have tried to deny that capability is through electronic warfare, both radio jamming, to deny the controller the capability of communicating with the drone, and also GPS denial or global navigation system. And together, that was very effective at limiting the use of drones in Ukraine.

As we've developed our multi band radio, it's a software defined capability, we realized the next step was we needed to create some sort of frequency hopping. And Kyle is gonna cover a lot of the technology, and how we actually did that, but it was we stayed with it, and we kept iterating, and the pace of that iteration kept getting faster. And the final result of that, I can't read this. It's in Ukrainian.

But in July of this year, previously, we passed a bunch of electronic warfare tests with the Ministry of Interior. But in July of this year, we passed the, very, very demanding electronic warfare test for the Ministry of Defense. And by the way, I was sweating it out because literally this thing happened, and it started raining. And a lot of our technology is based on some visual navigation techniques.

And I'm like, oh my goodness. Is this gonna work? And it worked flawlessly. So after almost thirty minutes of, of flying time, the drone came back and landed roughly twenty feet away from the operator.

So they were blown away. And when it came to the GPS spoofing, testing that they wanted to do, we literally broke their test.

They they just couldn't wrap their mind around how our drone was actually avoiding the GPS spoofing. So, after about forty forty minutes to an hour of trying to explain to them what happened, they finally got it, and they're like, oh my goodness. We've never seen this before. So, successful operational test, and we now have these drones on the front lines, and the the user using them are trying to get more over there, as fast as we can. But through this process, we have learned the Russians aren't gonna stop innovating, so we can't stop innovating.

And getting back to this resilience mindset, in addition to the thirty trips we've already made, in order for us to maintain this pace of innovation that we now recognize we have to do, we are making investments to have permanent party, full time Skydio employees in the country of Ukraine. We've already hired a couple, and we're, looking for more. And, oh, by the way, we are working across the, Ukrainian, technology ecosystem to help integrate new sensors, new devices, on the drone. So it's, an incredible, journey that we've had so far, and we're very proud of of what we've done. And I will say, it is frustrating sometimes when I read news articles that come out and they're all pointing back to this period two years ago, and I just I wanna say, go talk to them now. Hey. Go go find these people who are actually flying and talk to them today because it's a fundamentally different story than the one you've gotten from two years ago.

This innovation, drive doesn't stop, with Ukraine.

We have worked and and we're proud to have partnered with multiple organizations from the US army, to to many other organizations to develop third party payloads, whether that be for lethal action, or as you can see on the right, the picture of ATEC, which by the way, this guy is the father of TAC. He designed the whole thing, and so the ability to integrate into those ecosystems is part of this next innovation drive that we have going.

Also, what we are learning, and general Ryan and I spoke about this earlier today, the the scene part of what was going on in Ukraine is the the tactical ISR with the lethal action from the FPV drones. But there's a vast array of stuff that no one is seeing. And this is where people are starting to use drones in innovative ways. And what you're seeing here are some real videos of three d scans that a group of Russian or excuse me, Ukrainian lawyers from the office of prosecutor general have done to do post attack battle damage assessment so they can capture data that they are then using to take to the international criminal court, to file war crimes charges against Russians.

And we recently found out from the prosecutor general in Ukraine that there have been two indictments using the data that the lawyers were able to gather using Skydio drones. And another amazing part about this is there were no fleets of drone pilots, going and doing this for them. These are the lawyers themselves taking the device and having it execute the three d scan, which they can do now in minutes instead of the days it was taking them to survey before and allow them to avoid the, dangers of unexploded ordnance.

Those same capabilities we're seeing being used in, everything from mission planning, to other battle damage assessment. And so, anyway, it's been a wonderful journey. I don't wanna take any time away from Kyle because he can actually go into the details about the the technology advancements that we made. But it's been an awesome journey so far, and we recognize that it's really just starting.

And I and I was, remiss in introducing them by name. I just jumped right in to explain who they are and what they do. But Mark Valentine leads our, global government business, and Kyle leads our global government engineering. Yep. So and I put this slide in here specifically for Kyle.

Two reasons. One is the background is the the inside of the chamber where we test for EW and RF resilience.

And also, I mentioned to the outset that he's a scientist and an engineer, so he gets to qualify for both the elements on this slide. But I I wanted to transition from Mark and then hand it over to you, Kyle. A lot of the things that Mark mentioned, we're doing amazing things for forward facing troops. A lot of that comes from the benefit of being able to develop this technology across multiple markets.

And I know you're gonna get into a little bit of that, but to a lot of people, it's magic. Right? And I think you can dispel some of that, but I think that was an important point to inject there is this technology helps a number of different industries. It just helps the defense forces in a great deal in their missions as well. So I'll turn it over to you to get into the details of how it works.

Excellent. Yeah. Thank you, Greg, and and thank you, Mark.

Yeah. My name is Kyle Lesbek.

I'll talk to you a little bit about maybe a level deeper technical that not getting too deep, but but have a little bit more detail here.

And I'm really lucky because, the position that I was in, when I came into Skydio, we have a really strong technical foundation upon which to build from, and we have all these wonderful primitives upon which, we have all of the, foundations that are necessary for the resilience that is so important. And so when we talk about resilience, for the purposes of this next, next few minutes here, the resilience that we're speaking of is really in in two areas for RF resilience.

It's to communications denial or degradation or GNSS denial, degradation, or compromise via spoofing. And so Mark described those really well. So hopefully everybody understands what we mean when we're talking about resilience in those places. It's really about just being able to function in electromagnetic interference.

And electromagnetic interference isn't something new to Skydio. This was something that we've had, challenges with forever, and every drone company and every radio vendor will. It's a very, very difficult problem, and so we were building upon these types of of, foundational components, when we started to do a little bit of work in Ukraine. And so, what we did was we we took, took the multiband radio, which has a a relatively broad front end about nine hundred megahertz.

It's it's it's significantly better than the very small, drones that the very small front ends that we were using when we first started in Ukraine. And, we added some important capability to that, and it's not just for military context. It also services all of our other customers that could, that that need that kind of resilience in EMI. And the the tool that we developed is something called we call dynamic channel switching.

The idea is essentially very simple. When you experience interference on your comms channel, you switch to a different one, and both is it's there's complexity underneath the hood there. Both the the air and the ground and and the ground radios have to switch and coordinate and make sure that they can still talk to each other so that you do get that connection regained, status at the bottom here. But the idea is really that when you have something that's resilient, we wanna it will have be more survivable ultimately, and that survivability makes it so that these platforms can be reused in cases where previously platforms couldn't be reused.

They would be, you know, attruded over time.

So I wanted to show you a short video here, while I talk about the next piece of the puzzle, which is that GNSS denial.

This is a a a clip of the, from stitched together from all of the navigational cameras on the, Skydio x ten, flying in an urban canyon.

And so this is something that you might see in, like, a a big city, where, what's happening here is that we're taking the depth that's being detected, by all of the navigational cameras and computed onboard the very capable processors on x ten. And we're overlaying that in a type of visualization.

The drone obviously doesn't visualize it, typically, but it's something that we're showing here for the purposes of understanding what's going on. That piece is very important for you to understand because what we were doing is, building upon that for something that we, developed next, which is high altitude visual visual inertial odometry or VIO.

So Skydio drones have been using VIO, for a very long time now. This isn't something new to Skydio.

The big change that was important for for this was to take it from a relatively low altitude and make it capable at order of magnitude higher altitude.

And that makes it so that we can operate or or the the Ukrainian operators and and other operators, you know, any Skydio customer really can now fly at mission mission capable altitudes. They they don't they're not constrained by their altitude as much. And the, the graphic on the left here is just a great visualization of how we're doing that.

Basically, if you see the little green dots and lines in the navigational cameras, specifically the three on the on the bottom, which are on the right hand side of this, see those little green lines? Those are the features that we're detecting for VIO, and, that helps us to develop localization strategy that we can fuse with other types of sensors onboard, the accelerometers, the gyroscopes, all the important sensors that we can we can still rely upon in, RF contestant environments.

And those together create that localization, that that, red and blue and green line that you see up on the top. And so we leverage all of those pieces when we're trying to, keep the drone, localized in the correct frame so that it knows where it is.

And this is why I was super nervous when it started raining. Standing in a field in the middle of Ukraine, it started raining, and it it hacked it just fine. Nice work, Kyle.

Thanks. Thanks. Great engineers on our team. We're very lucky.

Alright.

There we go. And so this is, from, one of those flights that that, Mark was out for.

Some of the data that we we, got back from from, these flights were very compelling, and so we thought we'd just share one of those with you today.

And we won't go super deep on this, but I I'll show you the highlight the the important pieces here.

The first piece is that map view that you're seeing. There's, some green dots on it. There's some red dots on it. Those green dots are, what we were reading directly off of the GPS unit. And what you'll see is that at some point, it basically goes away, and that was where we were experiencing, GNSS denial, an attack essentially.

Those red dots that are there though, show the visual inertial odometry solution that's being computed regardless. And then at some point, again, we regain GPS, and what you can see is the deviation is extremely small there. And that means that, that the engineering team did a great job because, we can see that our our our estimate of our state localization is our state estimation, excuse me, was very, very accurate. And so so this was a really compelling piece. You can see on those graphs on the right then where exactly in the flight we experienced that GNSS denial. You can see kind of the where the blue lines and the red lines kind of start to deviate.

And, when they when they rejoin again later, that that's showing when we were able to reacquire, GPS signal and then show that we actually had done a a really good job on the VIO segment.

The next piece to the puzzle is something that's, a bit more mission success related, but really important for all of our customers. It's, okay. Great. You can operate without GPS, but now what? You have a bunch of features on the drone that are built around using GPS. Put a dot on the map and fly to it, or try to find out what what, the center point of where you're looking is.

All of those things require you to at least have an estimate a rough estimate of where you are in space. And so what we did next was develop a a feature called global sync. And global sync allows a, operator to dead reckon the position of the drone and and figure out approximately the the orientation that it's heading so that you can then go and use all those great GPS driven features that were developed by Skydio over many, many years in a GNSS denied environment.

And so we're really excited to be able to bring that to our customers and let them use Skydio's amazing autonomy in the same cases that they've typically just been forced to fly heads down, sticks, throttle and sticks.

Another piece to the puzzle was sometimes VIO even goes out too if it gets too dark or you're flying over a lack of feature environment or if you just the operator needs to fly high for another reason. There are just cases where it that even that can't work, and we are still even resilient in that case. And the way that we do that is to, take the approximate heading leveraging global sync, to essentially figure out where the operator is relative to that drone's position, fly back towards that operator until they can regain comms again.

And then on top of all of that, we've developed an external radio as well. And so what that does is it allows the operator to offset their operating position from the position that's emitting RF, receiving RF. You're able to put the, the external radio in a position that's more conducive to having a good signal with the drone. And then, and then it also has changeable antennas. So if you'd like to have a directional antenna face it towards the operator, things like towards the drone, excuse me, you can have, you know, a little bit better signal from that perspective.

And all of that, all of that resilience, all of those solutions are extremely important for survivability, but there's another type of survivability where we're going next. That that piece is extraordinarily exciting because it it is a bit on the cutting edge here, and that survivability is not necessarily survivability of the system, but rather survivability of the mission. Can you still accomplish your mission even in the face of attrition?

And the way that we do that is that we've developed some, some solutions to enable mesh mode on our radios on x ten delta and, and also be able to expose a lot of third party, integration protocols that you can leverage. These are things, things like Mavlink, speaking the RASA dialect, and MISB so that you can have, telemetry embedded right in your video streams.

And, hopefully, what, hopefully, some of the people that are here got to see the, outstanding multi drone, demonstration that was happening yesterday.

The the piece of the one piece of the puzzle there was that we're leveraging a a government owned piece of software called CCast. It's command and control of aggregate swarm tactics, and that was driving a lot of those those motion primitives that that you were seeing there.

Our platforms, since x two have been capable of working within that environment and have done so through a number of different programs, through DARPA. And one that wanted to highlight that's from the Defense Innovation Unit or DIU called AI some or AI for small unit maneuver.

This is a program that we've been working on with a lot of other, companies, including Raytheon BBN, Systems and Technology Research, and Acherion Government Solutions. And this program is really aimed at looking at collaborative autonomy for the purposes of, being able to increase the situation awareness of small units.

And so I just wanted to end on a small video, a short video here where we show off some of the the work that's going on under AI sum. And, this is really kind of just showing the next generation of survivability in systems so that you can still work to accomplish shared objectives across all of those drones in a collaborative autonomy environment. So what you see is a a human operator, a single operator here controlling multiple drones simultaneously.

And what they're doing is, watching a person go into a small, a small connex here and now surrounding that so that, when that person comes out, they'll autonomously go and follow that that, that person in a way that that the human operator didn't have to issue any subsequent objectives.

Their their cognitive burden is still very much, still at a very low level because the drones are accomplishing a lot of the, a lot of the difficult parts all by themselves.

So you can run, but you can't hide.

That's right. That's right.

Alright. Alright. Hey, Tommy? I forgot the code.

Twenty fourteen.

Twenty fourteen. Okay. So before we get into the next step, we've got some questions from the audience here. So let me see if we can get that going.

I'm gonna hold that for you.

Oh, I got it. Good.

Okay. I gotcha.

There we go. Gotcha. Okay. Well, let me turn it over to the audience first. I don't I don't see any coming up right yet.

Well, before we turn it over, I I really wanna thank both of you. That was a tremendous description of our technology, why we do it. For me, I haven't been with Skydio a great deal of time, but one thing that compelled me to join Skydio is we really are trying to help people solve complex problems and keep people safe. It doesn't matter whether you're in public safety or you're in public utilities or in defense.

Those things really drive what we do, and it's beyond just the technology. It's how we can use that technology to make the world a better place. And I know that sounds cheesy, but it's true. So so I wanted to thank both of you for for that discussion.

But I wanted to see if anybody in the audience has questions for either one of these gentlemen and we have a few minutes left that we can we can take those from you.

And if you would, the folks that are asking questions, we are streaming this. So we'll give Tommy time to get you the microphone, and then, that way, the folks online can hear what you're saying as well.

This is Phil. I'm gonna raise his hand first, but I'll make her Good. Hello. Christian Burnett. Open question for anybody. Are you guys looking at the maritime domain at all? Because of the shift and the focus on US IndoPACOM, I understand there'd be a lot of there's a lot more challenges in the maritime environment with visual navigation and corrosion and weather and things like that.

Yeah. So the I'll let Kyle answer from the technical perspective. The short answer is yes. We're doing some interesting work with the US Navy right now for autonomous corrosion detection.

And from a a technical standpoint, the challenge, like you mentioned, is localizing on the ship. And he can describe it a lot better than I can, but we have somewhat solved that challenge by localizing, finding a spot on the ship, and then be able to navigate back to that. Now if you're talking about, like, total open water navigation, yeah, that would be a tremendous challenge, and is one that I don't think we have solved yet. Is that right, Kyle?

Yeah. Definitely still still working on it, but open challenge, I think.

Yeah.

I would add one more thing to that. We are working with a partner that's do working with the Canadian Royal Navy, ships in port, being able to use our three d scan capability to do corrosion detection, help get those assets back out on the mission faster, but also extend the life of the things that cost billions of dollars to build in a much faster, more efficient way. So we've got some partners that work with us as well-to-do three d scan and and, maintenance when it comes to the x ten.

Hey, guys. Creighton from, ADS, your, best, distributor and partner.

Question, when when are we as your partners and your sales, your sales staff gonna be able to market a SKU that enables us to, they have six extends, and they wanna fly them in a swarm?

I don't know. Let's talk about that one offline, Creighton.

It it works right now. We we have to skeutize it, and then then we'll work with you.

Thanks. Great presentation. Mick Ryan, Australia.

In the multi drone operation space, you know, in the military when you look at span of control, you look at an individual can control five to seven people for cognitive and other reasons. When you're under stress, it's probably less. But when you're controlling multiple drones, is there a theoretical boundary that's similar to that span of control, or does it bust that whole span of control kind of ethos that we've used for a very long time?

Yeah. Can I take the Yeah?

Go for it.

Thank you. Yeah.

Excellent question. I think there's this is still somewhat of an open research question.

We're really lucky to have, had a little bit of experience working, with the DARPA offset team.

And and, so Shane Clark who's who's, part of our our team, our core team here, was PI on one of the DARPA offset programs where we were looking at controlling, relatively large numbers of of robots simultaneously from a single human operator, and those numbers exceeded a hundred into the hundred and fifty, even higher at times.

And our we have some collaborators who were looking at this exact thing. How how what's the cognitive burden like on that type of, in that type of situation?

What we found was that, that it is capable of being done with a level of preplanning, but it takes a bit of pre planning a little bit more than you might expect if you're kind of leading a squad of of people potentially.

Yeah. And general Ryan, let me jump on this because I think there's a psychology issue with this as well. The rate at which humans will adopt this technology, I think will be proportional to their trust in the vehicles. Because what I have seen so far is people are comfortable with the number of videos that they can put on the screen.

And maybe that's four, maybe that's eight. But if there are other things happening that they can't see the video for, their trust in that is is much lower. And so therefore, I've seen, like, artificial limits put on this just based on things like screen real estate, etcetera. My thesis is over time as humans develop more trust in these capabilities, they will be more comfortable letting them do their thing without having to see that video on their screen, and that's when we will get to more of the technology limits rather than our kinda human cognition limits.

And then I have a a few questions now. They're coming in from online like hotcakes. Excellent.

There's a lot of them there, technical based questions, but one I think maybe it it's just a clarification question. So one of them was talking about g s, GPS denied, which is fine, but GPS degraded or GPS spoofed.

And they're trying to the question is basically, how do we model that behavior to determine the difference between the two? Is it just straight out denied or we've getting the dirty signal? How do we how do we handle that with our resilience?

Yeah. So, the the short answer is is that there's a little a little bit of magic in that that algorithm, but I can at a high level, the idea is essentially that, at at the first sign of any kinds of problems, we just shut the GPS off because it works great without GPS. So there's no real need for it.

Hopefully, that answered the question for the that human.

I didn't get a big thumbs down. Yeah.

Okay. Excellent.

Nailed it.

Any other questions in the room? We have a couple more from online, but I wanted to make sure we're we're giving good due time to everybody here.

Alright. So let me throw you another one here. One, it's really just asking about VIO. Obviously, we visual cameras, but what about at night or using thermal or in bad weather?

What's the type of, plan for that when it comes to VIO?

Yeah. That's that's an excellent question because VIO, as as as the question alludes to, does not work very well with the cameras can't see features on the ground or detect features on the ground. And so, yeah, there's certainly work to be done still. We we know that our job's not quite over yet, and so we're we're very fortunate that the x ten has an incredible thermal camera as well, and we can leverage that to some degree.

And and the other thing that the x ten has, which is extremely helpful in this situation, is attachment ports. And so, there's a ability to go and extend the capabilities of that system even from a hardware level to be able to go and and add additional capability from that perspective.

Well, this question is also a little bit related to that. When you talk about attachment ports, Some of the questions and concerns that we have is what's the difference between the x ten and the x ten e and the x ten d? And so this question is about, do we have the same level of capabilities between the x ten and the x ten d when it comes to GNS visual odometry. Are those two symbolic of each other, or is there some differences?

Yeah. There are a couple a couple similarities, a couple differences here.

The x ten delta has the multi band radio. That's the one for which dynamic channel switching has been developed. And so, the the, x ten commercial is not going to have that same capability at least right now.

But for the GNSS, pieces, the visual inertial odometry has been and always will be as far as we're concerned running on that on x ten, all x tens, both x ten and x ten d.

Do you have anything?

Nope. That's hundred percent right. Nailed it.

Alright. Well, any other questions from in the room? Yes, sir.

I don't know if you will be willing to answer this, Kyle, but, I am curious as to a problem that is common to all drone makers, which are almost intractable today that you're trying to solve? I'd love to hear what the hard problem is that you're trying to solve.

These these weren't hard enough?

Yeah. I I think that there are some extremely great research challenges that we have right ahead of us as well as some really great just engineering challenges. So I kind of I I kinda break them down into those two.

You know, the the the ones that we're focused on right now are really around survivability and and how we can bring that to the general public because I think one of the things that's really important here is not just taking all of these great ideas and showing them off, but rather enabling every everybody in this room and across the globe to be able to use them. So it's a little bit of a non answer, but but hopefully, gets to gets to the heart of the question.

Yeah. I I think the biggest challenge, Styx, is human mind share. Because right now, human beings, when they think about a drone, they think of the one to one interaction. They think of drone pilot accomplishing some task.

That that method of thinking about drones that way fundamentally reduces the the drone using population to a very, very small amount and leaves ninety nine percent of the population don't yet know that a drone is going to solve a problem they have in the next year, the next two years, the next five years. That to me is the big challenge. And when you look at the autonomy that we have in Skydio drones, it fundamentally democratizes air power, and allows not just that one percent of people to to use an airplane to do something meaningful for them, but we're starting to see more and more people who, like lawyers in Ukraine, that never considered using a drone to solve a problem before, they are becoming effective at using it. And so when I look at that arc, I see a future that looks much like cloud computing where there are gonna be swarms of drones out there. People will fractionally use them to help them accomplish something meaningful over time. It's very plain as data me.

It, reminds me of Satya Nadella saying that you wanted to democratize the AI Yeah.

So that everyone can have that.

We have the network, Chachi P at all. And you guys are trying to democratize drone operations. Yep.

There was a related question, and it's probably in the hard to do column. And I know we're still working on the technology, but it talks about, especially when it comes to collaborative teaming, swarms of drones. Does this VIO problem can they work together to solve that using VIO? Or how does that affect when you have multiple drones doing one mission and they have no longer have comms?

These are great questions.

We have awesome audience here.

Yeah. This this is a really important piece to the puzzle is that oftentimes collaborative autonomous solutions leverage, global position as a shared reference frame for all of the the vehicles to communicate over. And so, what what's really important isn't that that be tied necessarily to a a feature on the ground or, you know, some point in in space, but rather that they at least have the ability to to, reference the same coordinate frame with each other. And so, that allows them to be able to coordinate in in geospatial, in geospatial terms so that they are not, you know, in danger of running into each other or they're working together to accomplish shared objectives in space time. I hope that answered that question too.

I think we're I think you're nailing it.

You totally nailed it.

Do you have anything?

But Well, any other questions in the room? Yes, sir.

One more.

How do the drones communicate with each other in the air in a warm environment?

Yeah. So Well, I think to reiterate because I didn't have the mic yet. For the people that might be listening online, the question is about how do the drones communicate with each other within that team environment deconfliction? They don't have common reference point like you mentioned.

How do they do that?

Yes. So if, if if you're specifically referring to the the multi drone experience that we were showing earlier, What we're doing is having those drones speak directly to each other through, through a mesh radio.

And so they're capable of going directly to each other or all the way down to some centralized operator on the ground who's able to then, you know, have a a software agent capable of managing each of those drones independently.

Can you zero wise the the drones? Because if, god forbid, it falls out of the sky or something and falls into Russian hands, we wouldn't want them to reverse engineer your awesome technology. And then I have a a good idea, Ferry, after that.

Yeah. Sure. Appreciate the question too.

Yes. Security is extremely important for us. And so the the x ten d, product line offers a component that that allows you to encrypt, basically do full disk encryption across the entire drone. And so, any of the information that's collecting the log data, the the media, anything that's part of that is, is encrypted so that if it were to fall into the wrong hands, it would basically be useless.

Right. And then the idea I had I just learned about Swarm yesterday and learned about Perch today.

And one of the greatest shortfalls with quadcopters is their on station time and their endurance. So could you potentially take Swarm and Perch and combine them, and then you could have for example, in the video, that person went in, to hide. Well, they could just wait twenty minutes and then leave because everything runs out of batteries.

But if you combine that with perch, then you could potentially have trade offs and reduce blink times and and think like things like that. Just a good idea, Ferry.

So Yeah.

I think that's a great point. Perch is certainly a way to to improve endurance, but also just having, the ability that to increase the number of resources at your disposal is another one. So, there's a a a term called on station transfer that enables us to essentially have a vehicle, callback for a replacement when it's getting to low battery. So it figures out that, yes, I'm I'm in I'm dangerously low of, dangerously low on battery from a perspective of being able to complete my mission, and it calls back to another another drone that's capable of taking its spot and performing its its objective.

So So you wanna repeat the question?

I'll repeat the question. Yeah. You wanna Sure. So when can we expect to see X ten and the dock with a GPS denied environment?

We'll have to talk about timelines afterwards.

So, basically, you said that there is already a version with the X ten d. We we used it, works, pump up, but the X ten doesn't have it yet. The we didn't there is no firmware upgrade that is out.

The the general, the general availability release of that feature is coming very shortly, so I think you're gonna be excited pretty soon.

I think we've got time for one more. Are there any more questions?

Can you guys just talk about battery technology? The the road map ahead, you guys aren't battery experts.

So, obviously, you guys can buy your batteries someplace else.

But looking ahead Yep.

So the question was, what are we looking at for the future of battery technology? And, Crate, the short answer is right now, we're limited to the battery chemistry that is available.

And that that is a fixed amount of energy that you can put in so small of a case.

And to counter or to improve range and endurance, we're looking at multiple different options. Everything from multiple batteries together.

Obviously, that increases weight somewhat, but, there's some trade offs that you can make to make that more valuable. Could you do a two stage thing where you have multiple batteries when the first one's dead, you jettison it so that you can now reduce your weight and continue so you don't have all the negative impacts of that additional weight. So we're looking at some of those things in the short term and the long term. To be honest, and Kyle can answer this from a technology perspective, but we are fundamentally limited based on battery chemistry right now. So if you wanna make a gazillion dollars, go start a company that does that, and I think you're gonna be in good shape. Kyle? Yeah.

If you can make a better battery battery, we're very excited.

Yeah. But, yeah, we also are trying to improve our efficiency too. So we're always looking at tuning our ESCs and making making the platform use all that energy more efficiently.

Alright. And we have one minute left. We have one question online. We'll end with them since they've been so gracious to dial in as well. So the question is about being able to run models for object recognition, automatic tagging directly on the x ten.

Yeah. So x x ten d and and x ten will run a object detection model currently that detects humans and vehicles, and and it does a it does all of that onboard. So you don't even have to be consuming that video stream to have to benefit from that. If you see a person or or a vehicle, that will get reported regardless of whether a human is watching that video stream or not. So, that's that's one really exciting new advancement.

Well, I I interpret that question as when will we allow third parties to put their algorithms on the x ten? And the short answer is we are working on that. That is a feature that we're working on, and we hope to get it out as soon as possible.

Alright. Well, thank you everyone for joining us in the room and online, and thank you both again as well. We really appreciate it.

Awesome. Thank you. Thank you all.