Episode Transcript
[00:00:00] Speaker A: ROI For Rosie, the high level answer is about 2 to 3x is what a lot of our customers report they're saving 2 to 3x what they're paying for the robots. And we operate on a lease model.
[00:00:17] Speaker B: Hello everyone, and welcome to the Robot Industry Podcast. We're glad you're here and thank you for subscribing. Before we get to our episode today, I wanted to let you know about a new podcast I'm starting called Automation Matters. It's about the front end of the automation business. And whether you're a builder or an integrator, distributor or robot oem, this podcast is for you. It's about sales, marketing, business development, strategy, and much, much more. And I'm excited about Automation Matters, but more on that later. My guest today is Mika Green. He is president of Telios, a manufacturer of robotic vacuum units based in Austin, Texas. He is top 30 under 30 and he's been covered in lots of magazines, including Forbes and industry periodicals. Micah, welcome to the podcast.
[00:01:04] Speaker A: Hey, thanks so much for having me, Jim.
[00:01:06] Speaker B: No, I'm excited to chat more about this. Kind of exciting. It's not a new invention, but it's kind of a new application of an invention. But I wanted to have you tell everybody why you're here a little bit. Like, what got you interested in robotics?
[00:01:21] Speaker A: Yeah, absolutely. So since I was five years old, I've been building robots, one form or another, so starting much simpler than what we're building today. But there was really this mantra that the director of this program, this robotics program I was part of mentioned that really drew me in, which was just like the 70s and 80s for personal computing and the 1990s for the Internet. The 2000 and 20s are for robotics. And that to me was extremely powerful, especially being, yeah, this was 10 to 15 years ago as a time that there's going to be this revolution in the industry. We're seeing it with robotics, we're seeing it, of course, with AI and LLMs. And it's been a crazy wave. And I knew I wanted to be part of that, not just kind of following it, but helping lead that charge. So, so that really got me into it in this New Minds space. And from there ended up going to Cornell University, actually went to school for business and entrepreneurship with a focus in hospitality and real estate, had to work as a housekeeper at the hotel on campus. And that was the aha moment where I saw a huge opportunity to help fill the labor voids and shortages and what many say, the labor crisis by bringing robotics into hospitality and commercial Real estate. So that's where. That's where it all started.
[00:02:43] Speaker B: No, that's exciting. And I love the fact that you were working cleaning rooms, and you're like, hey, I think I could this a little bit, right? By maybe with a vacuum cleaner. But, Micah, tell me a little bit about Shark Puncher, and forgive me, I have to ask.
[00:02:58] Speaker A: Yeah, absolutely. You've gone deep in your research, I see.
So. So I've been building companies since I was younger. Video editing services and different things, kind of more local. But I had this idea. It's wild. But I was hanging out with some friends, and there was the story of this kayaker, apparently that had been kayaking and getting chased by a great white shark. Ended up just punching the shark in the nose and the sharks swim off. Kayaker was totally okay. And I remember kind of thinking about that, like, wow, that sounds like a really interesting concept. What if you could turn this into a game? And I had been really into Nintendo and Super Smash Bros. And Mario Kart, you know, was really a big one. And I was wondering, there's a gap as well for playing those games through the Internet, like, with your friends on your phone.
So I kind of took the concept of, like, Mario Kart and racing games and merge that with, like, a smartphone application where you can actually play against friends and then use that story that I saw as the basis for the plot where you're actually riding dolphins and punching sharks and racing your friends. And that was my first, I guess, more established business that I launched on the App Store.
[00:04:19] Speaker B: And were you good at that game?
[00:04:21] Speaker A: I was pretty good. I tended to beat some of my friends. And, yeah, it was a ton of fun.
[00:04:27] Speaker B: So now, Micah, tell our audience a little bit about your company and kind of how you got started. I mean, I know that now, the initial idea, but tell us a little bit about your journey.
[00:04:36] Speaker A: Yeah, absolutely. So I mentioned kind of where things got started and the spark for the idea in the first place. And just to take a step back, you know, when we think about the vision and what we want to build here, it's really this fully connected ecosystem of robotics and solutions, technology, solutions for commercial real estate. So that will entail everything from cleaning all the way to delivery, security, maintenance, and collecting a lot of data around what's going on in these environments. We call it kind of making the invisible visible by having this mobile suite of sensors while it's doing other tasks, collecting data, things like WI fi, signal strength by the square foot, potential molds, different things like that. So that's where we're headed in terms of kind of going back and reversing towards the beginning of the story. I mentioned where the idea came from. Tapped into Cornell's network in terms of the hospitality and real estate market. And everybody validated that there's this labor crisis with 2 million open positions in the US alone, over 140% turnover rates, which is extremely high and hard to kind of sustain. So that was. Everybody kept reiterating these things. And after doing a lot of customer discovery, the initial concept was a robot that could make beds. And that was where we were going to start. And I talked to a lot of roboticists who thought it was a great idea, but would take many, many years and a lot of capital to be able to build that and actually make that work at scale.
Now, looking back, it still took many years and a lot of capital to get to where we are today, but really kind of pivoted into that focus on commercial floor care, which you even touched on earlier. It's a solved problem. Not necessarily for the commercial. It really entailed this completely new set of requirements and new product that was way more efficient. So up to 10 times faster than consumer robots is what we've built. And that navigation stack to accommodate the durability where it's used every single day for four, up to eight hours a day, and then the cleanliness, which is five times more powerful, and being able to create a user experience where people would adopt this. And you're. You're really bringing automation into areas where it's never been before, outside of factories and outside of warehouses, which is really exciting. So anyway, really landed on that, the floor care, and then just started iterating like crazy and ended up moving the company from Ithaca, New York, off Cornell's campus to Austin, Texas, where we're based now. And really, it's been many, many years of iteration and customer feedback, deploying what, some of the biggest brands and just constant iteration to really deliver and meet the expectations, which I'd say really, in the past 12 to 18 months, we've now hit.
[00:07:26] Speaker B: And how important is it for you to be in Austin? Because it's kind of a robot hub.
[00:07:31] Speaker A: Yeah. Yeah. So the really the impetus for us moving out of Ithaca was no one really wants to move to Ithaca. It's freezing cold. To build robots is pretty hard to attract talent. So we're looking at different areas. And I mean, Austin checked all the boxes, you know, really has a phenomenal talent pool as it relates to software, of course, even hardware and robotics at Ut in this area has really blown up and then somebody somewhere where, you know, you're kind of centralized for both the customer and investor base. And then selfishly, I love live music. I want it to be somewhere that I would be excited about. And it's been great for us from a customer and talent perspective. And we've been here now eight years and not looking back at all and not, not regretting any of it.
[00:08:18] Speaker B: Well, you know, it's one of the perks of being a boss that you can decide where you want to like live and thrive, right?
[00:08:24] Speaker A: Yeah, yeah, absolutely.
[00:08:26] Speaker B: Michael, what's maybe some of the surprises that you've experienced commercializing a robot?
[00:08:32] Speaker A: Yeah, you know, there's been a lot on this journey. I'd say. I don't know that this is a surprise, but there's so many edge cases. Right. And I think that was something that I learned too. When you're getting into these environments, even though they're a bit more structured than for example, someone's home, there's a lot you have to think about and consider in terms of the type of furniture, the type of spaces, the type of users that you're working with. And really I'd say it took a lot longer to build this stable, reliable, scalable product than anticipated. And I think part of that too is just having the right team and we have a phenomenal team. And again, I don't know if this is a surprise, but really this concept of scaling the team, getting the right people in the right seats, also at the right stage of the business too. And I think I've, you know, I've built a great team that I love working with and. But there were challenges across the board of having the right people and again at that right stage. So maybe they're great in the beginning, two years, but later on there's kind of this different need for the business. So. So yeah, those are a couple of things that come to mind and I'm sure there's a lot more if I thought about it a little longer.
[00:09:46] Speaker B: Thank you for that. So tell me about Rosie. And Rosie is the name of your commercialized vacuum robot.
[00:09:52] Speaker A: Yeah, that's right. So you can think of Rosie as like a mini self driving car. The robot has a LIDAR sensor on top, which is the core sensor. We have a camera on there and then a bunch of other telemetry data coming through and encoders in the motors and other streams of data as well. And really the robot is designed for commercial real estate. So we started in hotel guest Rooms and the robots are able to clean hotel guest rooms, tight areas under furniture. But then we've actually developed multi agent robotics where you can have multiple robots work together to clean larger spaces. So spaces like, you know, hotel ballrooms or large apartment buildings or airport settings. So there's really this versatility with the form factor and the software we've developed where any commercial real estate that we interact with on a pretty much day to day basis, the robots can clean, they're ready to use out of the box. There's no mapping or setup required. The robots do connect to wifi or have cellular, so that helps with the stream of data. And then all the user has to do is hit play and walk away. So really they can just rely on that space getting cleaned. It doesn't matter what language you speak or if you're a robotics expert engineer or you've never seen one in your life. They're super easy to use. And then they're collecting data like I mentioned, where you can see things like wifi, signal strength. You can also see the operations of how much space is it cleaning and how much did it edge clean and things like that. That's the product in a nutshell.
[00:11:23] Speaker B: That's great and it's a good description.
What are the things that you've learned? A lot in your journey is about hotels and about who's cleaning the hotels and about what they like, what they don't like. And give me a little bit of a lens into your life that way, if you don't mind, because I think that's important. Like are housekeepers turning the robots on?
[00:11:45] Speaker A: Yeah, absolutely. So in terms of the operations, something that also was a little baffling when I started was the fact that the operations in these hotels had not changed for 60, 70 plus years. It's kind of this sequential process.
Some interesting stats are like housekeepers. The Average age is 60 years old, six zero. Wow. So it's kind of this aging demographic and it's a really, really hard job as an 18 year old doing this, was completely wiped at the end of the day and felt just so tired because it's really intense. So you imagine that they're doing this for 10 to 30 years, it depends. And many are starting to retire and maybe they're going to just spend time with their families going back to countries that they may have moved from originally and even moving to work for places like Amazon distribution centers as well. So I think that's just kind of important context on the profile of room attendance and end users and House people that we work with every single day.
And there just hasn't been that much innovation overall. So they're still using walkie talkies and clipboards in their operations today. And they're starting to be apps and things that have been kind of getting developed and getting more popular in the industry, but it's not necessarily the earliest to adopt in terms of that.
So with that, I mean that's, you know, it was really ripe for this change, even though maybe some friction there.
And you know, as part of this, as part of the user side, we've thought a lot about how do you improve quality of life, how do you take off some of that load because there's so many tasks and things they have to do and they have repetitive motion injuries that are associated with that. And another stat that not many people know is that room attendants who are cleaning these hotel rooms actually have the second highest rate of injury in the entire private sector and the first highest in service sector. So it's really this mentality of how do you create efficiencies but how do you drive a better kind of quality of life, quality of work for these room attendants and help attract and retain this stuff? So that's been a huge focus for us. How do we operationalize this, how do we make this as easy to use and how do we just help people at the end of the day?
[00:14:05] Speaker B: So thank you for that. That was really a good lens on what's going on from the operational level. Where's the pain on the hotel side? Who's the buyer? And it's a very competitive industry, correct?
[00:14:17] Speaker A: Yeah, it's definitely is competitive and it's really interesting because it's somewhat fragmented. You have your big brands like your Marriott and Hilton and Hyatt brands that everyone is pretty aware of. But then you have franchisees. So these are owners and or operators. Some do both. But many owners hire management companies to operate the properties.
This is really operations oriented. So we're looking at, we typically work with the COOs or the SVP or VPs of ops or the regional, you know, operation directors or managers who ever see a portfolio of properties and those are the ones that are responsible for, you know, attracting and retaining the staff and training, hitting certain cleanliness scores and the expectations that, you know, whether it's the brands or just the owners have, they need to be hitting otherwise, you know they're going to be out of those contracts, you know, managing those properties.
[00:15:09] Speaker B: Tell me a little bit about the guest experience, like how important is that to hotel management?
[00:15:15] Speaker A: Yeah, I'd say it's the most important thing. That's what drives the revenue at the end of the day. And the biggest things that people think about are, of course, location of a property, the cleanliness of the property, and then there's brand loyalty as well. And having that consistency where when you're staying at whatever brand, the gym hotel, you expect the gym hotel, whether it's in Canada or New York City or Austin, to have that high quality of service and that high quality of clean and being able to kind of have peace of mind associated with that. So really that's a huge part of it. And I think what's interesting is there's more technologies coming out like kiosks, where you don't have to worry about seeing somebody to check in. Depending on the scale of hotel you're in, of course, the automation and creating that consistency and even opening up new offerings. If there's a room that's available sooner, could you upsell or could, you know, as a guest, you could check in early or check in late. Right. And have this kind of improved experience through that. So I think there's becoming much more like personalized guest experience. And then also just everyone's expectation is so high and especially when you have competition with groups like Airbnb and some of these vacation rentals, you know, people will, and I typically will stick with the hotel side because of that consistency that you're paying for.
[00:16:38] Speaker B: So when it comes to the math of robots, what's the ROI on a.
[00:16:43] Speaker A: Rosie ROI for Rosi, typically the kind of high level answer is about 2 to 3x is what a lot of our customers report. They're saving 2 to 3x what they're paying for the robots. And we operate on a lease model so that they can see that within the first month so they don't have to have this major capital expense upfront and wait for that. And really where we see roi, the kind of justification and where that's coming from is of course there's, you know, efficiencies. So depending on the property, they may have, you know, less overtime or less hours associated with some of that work. But really there's this reallocation of labor that we're hearing a lot where now the staff is able to do things that they need to do that they weren't able to do in the past. And there's this domino effect that comes from that. So some of that is just the baseline house people who are cleaning public space. They can deliver linen to the room attendants or Strip rooms faster. Now the room attendants are able to clean faster. And now you can sell one or two more rooms in that day because it's available, it's clean, it's ready to go without having to invest in that overtime and longer kind of service there. So that's one big piece of it. And then the other side is the cleanliness scores. We've had properties that, you know, we're kind of in the low 90s, and now they're at 98 in their guest satisfaction scores. And they totally believe that Rosie directly impacted it. And then the fact that their staff is now able to clean and do other tasks they weren't doing has contributed to that as well. So those are the biggest things we hear.
[00:18:16] Speaker B: You know, we've all stayed in a lot of hotel rooms. And so I'm wondering about how guests think about the Rosies of the world. Like, are they, do they care? Are they like, yeah, that's kind of cool.
[00:18:26] Speaker A: I think guests love it from what we hear. Overall, it's different. It's really cool. It's like this new experience for them. And I think robots are just inherently cool. But we do have some reports, like on the guest satisfaction surveys, where they feel like it's cleaner because it is cleaner. It looks cleaner, it feels cleaner. There's just this perception, there's this confidence that comes just like the TSA at the airport gives this kind of perception as well. And of course there's security behind it, but you feel better, better peace of mind. It's kind of that same thing. But, yeah, people take selfies with Rosie, they take videos of Rosie. They have kids that are, you know, super excited to see the robot running around too. So it's cool to see some of those reactions and to have. I think a big part of this is having robots again in that real world outside of factories and warehouses where they're interacting with humans every single day. And that's something that I think is magical because there's a new time in our history where that hasn't really been the case before.
[00:19:25] Speaker B: Micah, what's your sales process like? If I'm a hotel operator, what do I do? Like, can I just test out a unit?
[00:19:33] Speaker A: Yeah. So we do, as I mentioned earlier, like a lease structure. We do start with, like the first month free for a lot of properties, so they can dip their toes. It's something new. They can prove the value in the ROI really quickly. And then we have either a two year or one year lease or a month to month structure, which is also Pretty unique in the industry. We actually have people that can just check out and are just checking out through our website, telos.com which is really exciting to see and new for the industry. But, yeah, depending on which of those choices somebody goes down, the pricing will vary based on their commitment of the term.
[00:20:09] Speaker B: And how long does the battery charge last on a Rosie?
[00:20:13] Speaker A: Yeah, so the robot's batteries will last up to three hours of runtime. And then each robot comes with three battery packs where you can swap it out like a cordless power drill. So the idea is you still have human in the loop and you're taking advantage of that and supporting that through swappable battery packs.
[00:20:31] Speaker B: And I assume that housekeeping loves Rosie? Yes.
[00:20:35] Speaker A: Yeah, no, it's people. Our users love Rosie the Housemen, house people. We actually have some cases where room attendants who are cleaning rooms run out into the hallway where Rosie is and steal the robot so they can use it in the room. Something an approach that's been working really well is we actually launch into public space. So corridors, meeting rooms, ballrooms, tends to be just lower hanging fruit from a change management perspective. And then you have a lot of room attendants who are cleaning the guest room saying, where's my robot?
So.
[00:21:06] Speaker B: So one of the things we haven't really talked about, you've talked a little bit about it, is about data. And so all of a sudden now I've got a robot cleaning my floors. But one of the cool things that maybe the CTO really likes or HR really likes or the President really likes is the data. So let's talk a little bit about what kind of data that Rosie is producing.
[00:21:30] Speaker A: Yeah, for sure. So there's a few different categories I'd say, of that data. Some is more internal for us, we can actually see each and every part. We're tracking the robot health. We can usually see issues before the user customer sees the issue. So that just provides a better service. Right. If you need to swap out a part or if we see something like that, that's kind of a baseline expectation and part of our service. In terms of the robot and the operation side, a thing that's really important for operators tends to be just confidence and line of sight. Introspection. How often are the robots being used? Which areas are they cleaning? How well did the robot actually do to clean? You don't really know how well a person does, but the robot actually shows you the map of where it has and hasn't cleaned. We can tell you coverage percentages. Did it cover 90% or 98% of the area. We even have edge cleaning percentages where you can see how much of the edges has the robot confidently cleaned, not just gone near, but actually cleaned. That gives peace of mind and just that confidence and introspection. On the other side, the environmental sensing, I touched on a couple of those Data points. So WiFi signal strength by the square foot can actually have heat maps of where there's good and bad wifi. So you could resolve that ideally before a guest or a resident checks in or has that experience.
And then there's other points around like air quality and potential mold, where we have this suite of sensors that's driving around and capturing that information, not just once a week, but basically every single day to be able to deliver that and then drive alerts and notifications for whoever may need to deal with that issue.
[00:23:10] Speaker B: So we're recording this early September 2024 and you have over a thousand units deployed. So and congratulations. Like, that's a lot of robots in the field. So could I ask who some of your clients are and you know where they are?
[00:23:26] Speaker A: Yeah, absolutely. So we are primarily in hotels and resorts, so we've worked with a lot of big brands. We work with groups like Highgate that actually own and operate the properties as an example, and they've been a phenomenal partner and very leading edge and different groups, again, that are managing these properties in the commercial real estate space. So more in like multifamily, we're working with groups like greystar, which is the biggest owner and operator in the world, for apartment buildings and scaling up with them. And then in senior living, we're working with a couple different groups that own and operate their real estate as well. We have some exciting things. We've launched on a cruise ship, which is really exciting with a major brand. And then we've also launched, or we're about to launch an airport to clean gate areas and office areas with a major airline as well. So you can think of all sorts of different brands and real estate groups within that kind of commercial real estate umbrella. And we're working with a lot of the big ones.
[00:24:25] Speaker B: And you already mentioned that the startup time to get going is really, really fast.
Seriously, it's like pressure and go, yeah.
[00:24:34] Speaker A: Just press play, walk away, pop the robot out of the box and you can start using the robot pretty much instantly.
[00:24:39] Speaker B: So what's the form factor for the robot? Is it like a pizza box? Is it? How much does it weigh?
[00:24:45] Speaker A: Yeah, so form factor, pizza box isn't too far off. It's a little More narrow actually, but about 12 inches wide, 16 inches long and 6 inches tall. It's a smaller robot, so still industrial and has that look even. It only weighs like 18 pounds with the battery in, so pretty lightweight. And we have a little dolly we've designed. But the form factor again was so it can get everywhere because if you're not able to clean everywhere, then you haven't fully solved the problem. And then you can have the multiple robots working together. We also have safety flags, so a lot of customers use that to see the robots visually. And then it's a self driving car, it can get out of the way or it just stops if somebody's walking down the hall.
[00:25:26] Speaker B: I love stopping in front of robots to make sure that they stop. It's kind of a fun thing to do for sure. So how many robots do you tend to deploy at a time? Or is it 1 to 100 or is there any magic number?
[00:25:38] Speaker A: Yeah, we have some properties with two and we have some properties with 45 robots. So it's across the board. What we do typically do though is we start with about five properties within a portfolio in a big portfolio. And then typically they'll start with like two to four robots each property, get them up and running, prove the value and then we expand from there. So I'd say on average call it four, but it really varies.
[00:26:02] Speaker B: So what do you do about spare parts, like if I need extra batteries or if some. If a robot stops working, what happens?
[00:26:08] Speaker A: Yeah, so the nice thing about the lease model is we cover all of that if it's just normal wear and tear. So going back to the data piece, we're tracking each and every actuator or motor. We see a lot of kind of data coming through the PCB boards, the battery, so we can see, hey, this back left motor is going to fail in a week and have some predictive analytics built into that. We have an amazing customer support team in house and we can help kind of deal with those issues before it really becomes a big one. Once we start seeing those alerts and the data. And then the robot itself is really modular, so you don't even need a screwdriver to swap out the wheels. For example, the roller requires two screws. We even have a new design we've just released where it doesn't require any screws. So it's very much like toolish changes and the customer and user can kind of do that themselves. And then worst case scenario, there's smaller units, we can send out a new robot and then get the old one and do some refurb work as needed.
[00:27:08] Speaker B: Great. So what is the addressable market? I'm sure you get these from a lot of your investors or people who are interested to invest in you.
How many hotel rooms are there or how many office buildings are there? It must be a big number.
[00:27:21] Speaker A: Yeah, it's huge. There's hundreds of thousands of hotels around the world. Hundreds of thousands, if not millions of office space in the world as well. And the way we think about it. So right now for Rosie, Rosie is focused on vacuuming commercial real estate. So that's how I think about TAM as well. But there's the labor associated with it. So it's not just what's the vacuum market, it's what's the automated vacuum market for commercial.
Overall, it adds up to about 10 to 11 billion of annual recurring revenue just with rosy, just with this first product, and then it goes up to 56 billion. When you look across commercial cleaning as.
[00:28:01] Speaker B: A whole, those are some pretty big numbers.
[00:28:04] Speaker A: Yeah. Some huge, huge opportunities. And this is the time it's going to happen. So we want to be the ones that make it happen.
[00:28:12] Speaker B: So have we forgotten to talk about anything yet today in our conversation? It's been a good one.
[00:28:17] Speaker A: Yeah, it's been a lot of fun. I think this is a really exciting time in history, I think, in all these different applications. So it's fun to kind of share the progress and see how things have ramped up a lot for us. And I don't think I have much to add right now myself.
[00:28:33] Speaker B: How do people find out more about you? Or maybe they've listening to this. Thing is, I gotta talk to this Mica guy.
[00:28:38] Speaker A: Yeah. If you reach out, I'm on LinkedIn, so I'm under Micah Estes Green and I'm a huge Daft Punk fan, so you'll see me wearing a Daft Punk helmet. And then our website is talos.com t a I l o s.com and you can go on there to learn more. Reach out to us. Also check out and actually try some robots if you want, for free.
[00:29:01] Speaker B: Micah, when you're not innovating and building robots and cool things, what do you like to do? Can you tell our audience a little bit about your hobbies?
[00:29:08] Speaker A: Yeah, absolutely. So I love being outside and doing exercise and activities. So I'm a big cyclist and love to just bike a lot. I love going to play tennis. I've just gotten into that. And going to Barton Springs pool, which is in Austin. This beautiful kind of natural Springs pool. I have a pup so me and my wife love bringing him to the park and doing that stuff. And then just as a fun little hobby, I like to make music. I have a ukulele and I'll make music with my wife and just kind of jam out. And that's evolved. It used to be more on the electronic side using like midis and now I've gotten a little more acoustic with it recently.
[00:29:47] Speaker B: Well that's great. Thanks for sharing that and thanks for being on today.
[00:29:50] Speaker A: Yeah, thanks so much Jim. This is a lot of fun.
[00:29:52] Speaker B: Our sponsor for this episode is Earhart Automation Systems. Earhart builds and commissions turnkey solutions for their worldwide clients. With over 80 years of precision manufacturing, they understand the complex world of robotics, automated manufacturing and project management, delivering world class custom automation on time and on budget. Contact one of their sales engineers to see what Earhart can build for you. Info@earhart automation.com and Earhart is spelled E H R H A R D T. Our co sponsor is Anchor Danley. They are the leading manufacturer and distributor of robot and automation bases, high quality die sets, components, Blanchard ground steel plates and metal fabrications used in the production of tools, dies and molds for the metalworking and plastics, injection, molding, mining and construction equipment and general fabs. I'd like to acknowledge a 3 the association for Advancing Automation. They are the leading trade association for robotics, vision and imaging, motion control and motors and the industrial artificial intelligence technologies. Visit automate.org to learn more. And if you'd like to get in touch with us at the Robot Industry podcast, you can find me Jim Beretta on LinkedIn. Today's podcast was produced by Customer Attraction Industrial Marketing and I'd like to thank my team, Chris Gray for the music, Jeffrey Bremner for audio production, my business partner Janet and our sponsors Earhart Automation Systems and anchor Danley.
