Nearthlab develops artificial intelligence (AI) technology for industrial autonomous flying drones. Its artificial intelligence (AI)-powered blade inspection solution combines autonomous drones with a smart analytics platform. It was founded in 2015 and is based in Seoul, South Korea.
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Nearthlab is included in 4 Expert Collections, including Robotics.
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Latest Nearthlab News
Aug 10, 2023
Megan Rotondo Interview Allen Hall: I am Allen Hall, host of the Uptime Wind Energy Podcast. Our guest today is Megan Rotondo, service development manager with ONYX Insight, and if you don’t know ONYX Insight well you’re missing out because ONYX Insight is a global renewable technology business that provides predictive analytics and wind turbine monitoring services to owners and operators of renewable energy assets. Solutions deliver increased energy production and reduced operations and maintenance costs, enabling wind turbine operators to minimize unplanned downtime and maximize investment returns. ONYX Insight are technology agnostic and work across all types of turbines and CMS systems to optimize turbine efficiency. And you probably, if you do know ONYX Insight, you probably know them from all their drive, train, vibration monitoring equipment, which they’re excel at. Megan has a lot of experience in blades, so Megan has a previous experience with GE and Envision on Blade design, so she’s a real blade person, and this is why we love having Megan on the program because we can geek out on blades a little bit. Megan, welcome to the program. Megan Rotondo: Thank you. I’m glad to be here. Allen Hall: So, ONYX Insight had a recent announcement with Nearthlab, and if people are not familiar with Nearthlab, Nearthlab is based in South Korea and they do drone inspections at a, at a really cool and a couple cool things there. That partnership when it was announced, like, wow, that’s super powerful. It, it sounds like it was a blade engineer. It’s gonna give you a lot more access to data and information from the field. Right? Isn’t that where, where it was going? Megan Rotondo: Yeah. Yeah. We announced the partnership end of March, early April of this year. And really just to, I mean, really coming from our customers, I mean, as part of our expansion, you know, I joined ONYX in 2021 and like you mentioned, best known for drivetrain, CMS. So really focused on bearings, gear boxes more of the drivetrain on the turbine. However it came from our customers that, you know, we really need to consider the whole turbine when we’re talking about predictive maintenance. So this is just another part of that story is, you know, we offer, you know, you do borescopes on gearboxes, you do end of warranty walk down inspections. We go to tear downs for bearings. So for blades, we need to be able to offer a similar service. So instead of reinventing the wheel, and like you mentioned, we like to be pretty flexible in our technology. This partnership with Nearthlab allows us to offer a more streamlined, like turnkey service. So if someone’s working with us on an end to warranty campaign instead of the customer having to search for another company or multiple companies to handle the blade inspections, we’re now able to streamline that offering in-house. Allen Hall: That’s really interesting because Nearthlabs then becomes part of your AI hub that ONYX has. And ONYX has a system where you can access pretty much anything about your turbine and. Tap into resources like you adding Nearthlab just plugs into that AI hub system. Megan Rotondo: Yeah, so that’s, that’s the vision kind of with bringing in late inspections is to bring in that data stream to the AI hub platform. It allows you to bring in the data from multiple sources. Because currently, and you know, for better or worse, it, it’s streamlined, but only in its silo. So when you’re looking at blade inspections and you wanna plan for. Repairs or you wanna plan for maintenance on a turbine. Each kind of piece gets its own silo. So if you have SCADA lost energy performance issues, you have performance engineers looking at that and you have your drivetrain gearbox issues, you have someone specializing in that, working in Excel spreadsheets through their own platform. And then blades have traditionally been over here in this other platform. So you can imagine from a fleet perspective, if you’re talking big fleets, you have thousands of turbines across, you know, multiple. Countries, states, what have you. It’s hard to understand what’s all going on with all the blades, all the drivetrain, all your performance issues. So the idea behind AI hub and what we’re building and, and kind of bringing in piece by piece is bringing all those data streams together so that, you know, you can get your individualized, you know, blade engineer logs in and they, they can focus strictly on what they need to do for the blades, but the site manager can also log in and see, well, I have. Blade inspections going on, and these repairs have come through. But I also have a gearbox down and I need to replace main bearing, and it kind of gives them more of a full picture of what’s happening at the site. So that’s kind of the, the vision of bringing in all these pieces and, you know, it’s a lot of work to get all these pieces talking. But that’s just one piece we need to fill out. So this, this is part of that journey is to partner with Nearthlab and get some Experience working with blade inspections and bringing that in and seeing how that data works together and how we can, you know, just make, make operations a little bit more efficient instead of just working in our silos. Allen Hall: Yeah, that makes so much sense. I hear the same complaint from operators all around the world. They just get bombarded with information, information, information. And there’s no central place to sort of organize it. So they’re having to do it on their own, and that means they’re bringing in software people and trying to put things in order. It’s really complicated and that’s why people should reach out to ONYX Insight because you have it al already figured out in a nice platform, so you’re not reinventing the wheel every time. It’s amazing watching operators do what ONYX has already done. Why are they doing it? I don’t know. Because this is sort of like two pieces to ONYX Insight, which is one, they have the platform form already built, so you can get your data in there. But two, and probably more importantly, they can tap into people like you who can give them advice on what they’re seeing on the screen. Megan Rotondo: Yeah, so that’s the other piece that’s really hopefully going to bring a little bit more value to the blade inspections. I know a lot of times, especially like big drone providers, If they gotta crank through thousands, tens of thousands of images, get the first pass done, get it back to the customer as fast as possible. And so it’s, I mean, necessarily generalized, they have to get these things, big production, big volume get those inspections out. So the idea behind the partnership is with our specific customers. You know, we’re offering a turnkey service. So when you, you know, contract Nearthlab to come to site through ONYX, you know, we’re gonna be looking at those images and. Having a blade engineer review done, ready to go with your prioritized list of repairs all in one service. Instead of, you know, sometimes, and it depends. We like to be flexible for customers, you know, some customers have that resource in-house. Maybe they have a team of five different blade engineers who manage different sites and they may not need that expertise. But there are others that, that really can’t have that expertise in house, or they have so many turbines that their balloon engineer is focused on. The cash rock failure, managing the repair team, you know, doing a lot of other tasks that are very important, so when the pictures come in and you have to go through the 200 severity four, five that comes in, which is, again, I, I mentioned this as a really hot topic for the past, like two years on standardizing severities, but it makes sense to run a conservative estimate. You. As a drone company, at least from my perspective as a blade engineer, you wanna highlight anything that’s concerning and you wanna make sure the customer knows about it and looks at it and can make a decision. But that does mean you get this like huge chunk of things that you need to look at. So it can be really overwhelming, especially if you’re doing it by site. A lot of customers leave it up to the site manager. A site manager might just say like, Ugh. I mean, sure, they said it’s severity four, so I’m gonna just throw these 100 damages to my repair team and say, what? What can you do this year? And the repair team has to look at it and say, well, I guess I’ll just go turbine by turbine. So you’re not really prioritizing smartly. So the idea behind working with Nearthlab. We have a nice streamlined service and we’ll work with, you know, any drone provider in-house or whoever. But the nice thing about partnering is we can kind of set that all up ahead of time. We know the software, we know how things go in, we’re helping planning it from the get go, and then we can take a look at the damages that come in. And when you get, you know, when you log in, you’re gonna see here are your top 10. This is what you know, the blade engineer recommends you repair. Here are the next priority. Going, you know, maybe directly to your site manager. We can even get that into, you know, AI hub. So then the site manager gets, you know, they even have to look at the thousands of images if they don’t want to. They can just look at the 10 that are the most important. Allen Hall: That seems to have a huge value if I’m not an operator. But if I were an operator, that’s to me is worth hundreds of thousands of dollars to me and just time saved. And with my team of people, I. Because somebody’s gotta sort through all that. And do you really want to have that person on your staff? Probably not, depending on the size of the, of the operator, obviously. And then there’s a lot of operators from really tiny operators to masses, right? The NextEras of the world. There, there, there’s a lot in between and it’s those in between and the small operators, I think that really struggle here of coming up with an effective campaign plan and knowing what the next turbine is to work on and why. Probably more importantly, why am I working on this turbine and not the next one down? That’s, that’s a huge service that ONYX Insight can provide. Megan Rotondo: Yeah, I mean, we, we try to give that engineering backing to our recommendations. And then, yeah, it’s hard to, it’s hard for a drone company to have all, all of that expertise. I mean, they’re focusing on, you know, like Nearthlab especially, they’re focusing on good autonomous drones that are very safe, that operate automatically, you know, the. One of their offers that, you know, ONYX was super interested in is the mobile drone, where they’re kind of like you, you kind of get like an application that’s gonna fly the drone. You don’t have to bring in a professional pilot who knows everything about drones. You just, so that, that’s their focus. Their, their specialty is, you know, autonomous flight good hardware, good camera, good images, and then the image AI processing of the software on the backend. So what we’re trying to help provide is that more holistic operations and maintenance piece. Like, great, we are getting really good data. That’s what we want, really easy to access data. Now what do we do with it? And that’s, I think what’s ONYX focus has been for a while with having the engineering consulting team, you know, on staff is being able to take all the good software, good data that we get and, and then tell you what to do with it, which is always a really hard decision. You know, And it, it, and with blades especially, we’ve talked about that and I’m sure you’ve talked about that a lot on the podcast is how it’s complicated things can get, and understanding all the nuances of the different architectures and turbines and what the current failures are out in the field. What do you need to be concerned about? It’s just hard to keep track of all that when you’re trying to run a site. So we’re hoping to provide that value. Allen Hall: Well, I think you do in, in terms of just of seeing the same problem on other farms. If, if you’re not actively involved in some of the community groups and talking to other operators, you may not know that your turbines are gonna come up with a problem in a year where ONYX knows because you’ve, you’ve seen it, and that’s where the resource like you becomes really critical. I. And I want to discuss the Nearthlab piece for a minute because I think it was about a year ago when Nearthlab introduced to sort of the autonomous, buy the software, fly the drone capability. And I thought, wow, that is really amazing. I haven’t seen a lot of data on the images there, but I know Nearthlab likes to do tremendous quality images. You’ve seen it. How is that system, can you describe like how it’s working and, and what your thoughts are about that new Nearthlab system? Megan Rotondo: So on the pro drone side, that’s your typical like giant $30,000 drone that the, that you’re gonna have professionals come in and manage. Those are the highest quality images. And very, and a lot of the focus there I think is interesting. And I’m learning too on, I’m not a, you know, like a image expert or drone expert. That’s why we’re partnering with people who are but a lot of it has to do with like lighting and how you take the photo. So I think a lot of focus. What Nearthlab’s focus is, is on how the photo is taken and the flight path that drives good quality photos. ’cause I’ve seen this a lot when drone drone images come in from various companies. If you’re just kind of like, run the system, get it done, get out of there, you’re gonna end up with, it’s not the camera. They have great cameras on these on these drones. Everybody has great cameras. It’s pretty ubiquitous. It’s the lighting. You get these like the super dark images where they try to just like auto brighten and you get all the weird pixelation and you can’t, can’t really see what’s going on. And that’s where I’ve seen damages get missed or a really important thing that I’m learning which I, you know, I don’t know the details of the technology of how to do this, but you can’t have the blade be like looking into direct sunlight ’cause you, the, the sun just like blocks what you’re trying to look at. So there’s just, which is less to do with the actual, like pixels and camera and more to do with how you’re flying the drone and how it’s taking the images. So it’s a, you know, and I, I, I admit this is not my specialty. That’s, again, we’re partnering with Ner Nearthlab. But I have seen the images, I’ve been on the back end of that where you see these images where you’re like, I can’t, you know, it’s usually historical image. You’re looking at it and you, you have no idea if the crack was there last year because the image was washed out. There were these sun beam. It seems silly. But all these details do make sense when you’re trying to get a good high quality image where you can identify, you know, a small crack. So that’s how I’ve seen the quality and, you know, my learning and working with Nearthlab and and a drone company is learning, like, it’s not just having the best camera or doing the inspection as fast as possible, even though that is an important metric. It’s, you know, getting good images so that you didn’t waste your time. You know, sometimes I’ve heard from site managers, they bring the drone company on site and then, you know, the pilot, just get it done, get it done, get outta here. And when the engineers receive it on the back end, they say, you need to go re fly 10 turbines because we can’t even look at this. Or the AI processing can’t look for damages. So that’s been happening. If you focus solely on. Just anyone getting your images done you may have to re-fly otherwise it’s been a waste of time. So I think it’s an important consideration, especially in wind. We’re so focused on like the cheapest, fastest get it done option, but just taking just a, a small focus on quality will help reduce the rework on the, on the backend. Allen Hall: Sure. Well, that makes total sense. I haven’t thought of it that way. I have seen. Some drone images come in on the lightning damage side and we see a lot of lightning damage and some of them are just so terrible. You can’t tell what is going on. And you wonder like, why was the purpose of flying that drone to begin with? And it makes sense to connect with an Nearthlab who was paying attention to the quality of the image, not the quantity of the image so much and all speedy. They’re doing it. It. And when I have seen Nearthlab at like. The Blades USA Forum and some other places, that’s what they speak to, right? Is they’re, they’re, they’re speaking to quality because eventually it’s gonna end up in Megan’s inbox who needs to be able to do something with it. And if the photos are garbage, then you know you’re gonna have to go back out and do it again, and you’re paying for it twice. So it makes sense to, to connect with someone like a Nearthlab knows what they’re doing. Megan Rotondo: Yeah. It is important. It doesn’t seem important at first, and you know, if you are getting the quality images, you might not think about it. So, But it is important to make sure what you’re paying for is done right and done right the first time, too. It is difficult. Allen Hall: So having now connected blades and blade information and, and now you have access to Nearthlabs, How often do you recommend flying the blades for overall damaged progression? I’ve, we were at Blades USA forum, I think you were there. And RWE gave a good presentation saying once a year is probably not enough. That twice a year is probably the minimum amount. So you can track the progression. ’cause cracks don’t grow consistently over time. Sometimes they kind of. Explode. Right? They get much bigger quickly. You just need to be, have more data set. What are you seeing in terms of, or what’s your recommendation there? How often should you be flying and inspecting blades with north Nearthlab systems? Megan Rotondo: Depends on your site and what you’re seeing. So, you know, the typical trend that everybody’s talking about now is that, yeah, newer technology, we’re seeing a lot of these infant mortality events, serial defects lower margins on the blades. So it’s just. If something were to go wrong, it’s more likely to show up and be one of those cracks that you’re gonna sit there and wanna track. Some of your older sites are higher margin sites or sites that haven’t been giving you, you know, too much trouble in terms of the specific blade design. I think once a year is still sufficient for those sites. So with the caveat, like you brought up lightning damage, some sites, you know, they have severe lightning damage. They have a lot of issues with lightning, they have carbon blades. High lightning density, what have you. And those sites, some of them are going out after every lightning storm, so that case is much more frequent than, you know, two times a year. So there’s a big spread about what’s appropriate for your site and your turbine. So I would suggest, you know, my recommendation if it’s a newer technology blade Obviously there’s a warranty period, but I’ve, I’ve seen more and more that customers are almost like shadow monitoring to use a term from drivetrain and doing their own inspections. So they have their own data especially when it’s coming out of the warranty period. They have a nice history of what’s been going on, even if the OEM is all, or the warranty providers also, you know, doing those inspections. So that’s important, especially with the trends that we’re seeing when newer technology, big blades, lower margins, et cetera. You may wanna start with the once a year, get a baseline and then see what issues pop up if you are doing that inspection. And in the first two years, you know, once you get your baseline data, you see, well this inspection revealed, you know, 10% of these cracks that look a little concerning. They’re cracks near the root. We had a, it’s category five in the first two years. That’s when you start to maybe wanna change your strategy. Something like RWE is talking about. When you do that, what’s really important is understanding damage types. What damage type do you have and how fast does it grow in that, in that case, even two times a year may be difficult and that’s where something like maybe the mobile drone technology comes in, where you have a drone that you you own on site, and that way the the inspection is much cheaper. You it’s still an autonomous flight that you don’t need a ton of pilot training. You just need your official. License and you need to be able to handle a drone. So you could train, you know, a technician or someone on site to manage, like something that’s going to be specific to the site, specific to the blade specific concerns. So they’re not flying the whole turbine or they’re not flying every turbine, they’re just tracking. If you wanna track damage progression, you wanna be doing that pretty often. So you’re understanding is this something that’s growing? Within the year? Or is it something like, you mentioned a few weeks and it’s starting to progress. So that’s the tricky thing with blades. I mean, it’s a brittle composite. So a lot of these, you know, we’ve seen serial damages where not, you can’t see anything on the outside until, you know, two days before the failure. So it can run the, you can run the risk of thinking that you know a lot if you’re tracking it, but it is a little bit unpredictable. So you have to be, understanding. There’s a variety of damages with variety of growth rates depending on where it is on the blade and and what kind of damage type it is. That’s where that background knowledge is coming in. Allen Hall: If you have Nearthlab images of the outside of the blade and you have a general understanding of who the manufacturer, the blade is, where it came from, you have a history. And where do internal inspections fit into the overall blade monitoring? Is it something that happens yearly? Is it something that only happens when you see something on the outside or you just have, just know from previous blade history like, Hey, we need to be looking on the inside. How does, how do you suss that out? Megan Rotondo: It is really difficult, and we’ve had customers ask this, ’cause obviously they wanna, is, it is quite expensive right now. Even, even using robotic inspections. I mean, you still have to stop the turbine and have someone climb, you have lotto you know, even if you’re using robotics, it can get expensive. So currently with the costs and, and how much time it takes, I think internal inspections should be done at end of warranty for sure. If you, if you have no data, what’s going on in there. Especially with the newer technology. We all know these trends. We’re seeing a lot of issues out in the field with longer blades, high stress at least under warranty. And you wanna get some kind of baseline, what, what do you have? And you may be doing a subset. Tricky thing about doing a subset. As you know, you’ve talked about in this podcast we talked about before, manufacturing defects are randomly distributed. It’s not like they’re gonna necessarily appear in every blade, if possible. If financially feasible. It’d be great to get a hundred percent baseline on internals. Now, the second piece that you mentioned, known issues, the industry is very Connected. A lot of people know each other and so a lot of people know what’s going on. So if you have one of those blades that has, you know, some issues that another site is seeing you definitely wanna get, again, a sweep. You wanna take a sweep of the, of the site internally for older turbines, things you’ve haven’t seen any issues. It’s kind of echoing what I said on the external side. Internal inspections are expensive. It’s not something you can just quickly do. So I wouldn’t recommend you just go out and do a hundred percent. You may wanna be looking at like a five year. Basis just to make sure nothing’s cropping up that looks concerning, and then you kind of have to pivot from what you find. So that’s why I recommend end of warranty being a good time, because if you go through that end of warranty period, you’re not seeing anything externally. You’re not seeing anything internally. You stick to your yearly annual inspection and move on. But if you go to an end of warranty and you find, yeah, 10% of the turbines have severity, five damages internally or externally, then you can develop. Your program from there specific to your site or your blades. So kind of two-pronged. I think internal inspections are important but you, you may wanna customize it ’cause I, you know, it is, it is quite expensive. And it may not be needed. So you wanna optimize and, and focus those expenses on turbines with known issues or, or maybe some baseline that you’ve set. And regarding the connection between external and internal. It’s unfortunately not a great correlation. I’ve seen this on specifically on some blades where you’ll see an external damage that’s quite severe and you won’t see anything internally. There’ll be nothing there or vice versa. You, you can see especially anything to do with like bonding shear webs. It’s really difficult to get any indication from the external inspections, whether you have anything internally. Just as engineering judgment would say, if you’re seeing a ton of external damages in your inspections, probably a good idea to take an internal look, but it’s not gonna guarantee that there’s anything to be found in there. But it would indicate maybe that there were some manufacturing concerns. So that’s kind of how I would approach it. Allen Hall: Megan, that makes total sense to me and it’s, and it’s good you explained it because it, it is a complicated subject and there are different off ramps in which way to go, but that’s a really good summary of, of when internal inspections should be done and why you should be doing them. That’s why people come to you at ONYX Insight to, to find out the answer to that because you do hear a lot of discussion about internal inspection and when should I be doing it and there are some blades. I think people should be doing it more regularly. I think we could all agree to that. The second piece is full service agreements. The FSAs that a lot of OEMs are signing right now, and some of them are signing 20, and I saw one that was a 30 year agreement for a wind site. Like, wow, 30 years is a long time. Shadow inspections like we had talked about, even if you have an FSA, does it make sense to sort of have an independent. Review of that, even if the OEM is supposedly doing it, does it make sense to have ONYX Insight come in and do that inspection, like as it gets to the five-year time span just to make sure that you’re getting what you’re paying for? Megan Rotondo: Yeah, I, I’ve seen mixed responses to this and it depends kind of on your relationship with the FSA and what it’s providing. Usually always lightning, you know, your specialty is always on the, the owner as a force majeure event. So if you’re seeing a ton of lightning on site, depending on the quality of the inspections and kind of what, you know, what they’re recommending for repair every year, if it seems like, you know, you have a long-term FSA and they’re not a ton of lightning damages and they’re not really yeah, it doesn’t seem overly excessive in terms of what they’re recommending for the lightning repairs. Maybe you just review the data that they provide to you. Granted that if you are getting the data and it seems to be good quality, it seems to align with what yeah, it seems to make sense and that you might wanna, you know, if you don’t have the expertise in house, have, you know, a consultant look at that, an independent consultant to make sure that what they’re recommending. Yeah, that makes sense. With what industry standard. They’re not asking you to repair tiny little pinholes or. They’re not leaving giant delaminations to grow and then have a lot of downtime at the end. So there’s, you know, a gambit. And then if you have a shorter FSA where you may be thinking about self-performing later on, that’s where I think shadow monitoring as an approach makes more sense. Because, you know, if you have a 30, you know, for the life of the entire wind farmer, that’s your general strategy. You do have to consider performance if that’s cons, you know, ’cause. There’s a lot of complications with the contracts and depends on your specific contract, but if you are, you know, they’re only gonna handle replacements and repairs, but you know, performance is kind of on you. They could let things grow and then have, you know, to replace a blade if something gets that bad. I mean, that’s a ton of downtime and performance loss that you don’t, you don’t want. So I think there’s still benefit, even if they’re covering replacements, covering repairs. Yeah, at least on a kind of short, you know, five year kind of basis or, you know, a two year is a typical warranty period. So you wanna be looking at those kind of timeframes to do a spot check. Either reviewing the data if they’re providing it to you, like high quality drone inspection data that they’re taking to make their assessment. If they’re providing that to you, you know, every couple years you wanna be looking at that to make sure that. They aren’t letting giant cracks just sit on the blade thinking that, you know, oh, we’ll just replace it in five years, because it’s a lot of lost production when they do that. Instead, repairing it when it’s small. And then if you’re thinking about self-performing, you wanna make sure that those turbines are in excellent shape and being taken care of. So in that case, you may, you start reviewing the data and if the data is not of high quality, you’re seeing a lot of issues. Then maybe, you know, scheduling an independent inspection so you get your own data, you have control over the quality, and then you can make a better informed decision. And again, this may be specific to those who are moving to a self-performed model even in five years time. Because there could be issues, you know, if they’re letting you know if things are growing or they’re not addressing cracks or light, lightning, delaminations, other issues, you wanna know that ahead of time. Make sure that yeah, you’re getting what you’re paid for. The blades are in good quality so that when you, if you move to self perform, you know, you end up with the best product moving forward. Allen Hall: And that’s a confusing question. I think a lot of operators are going through that right now, and shadow monitoring is something that you hear once in a while, but I, I think it’s gonna be become more prominent as time goes on with these full service agreements that they’re gonna see much more of it. And they need a resource like ONYX Insight to help them. Make that decision. And it, it’s, it’s good you described that because a lot of operators listen to this podcast and they’re gonna be contacting you. I’m sure. So how do we contact you? How do we reach out to Megan Rotondo at ONYX Insight? Megan Rotondo: That happens to be my email, so you can just email me. But our website is a pretty good resource and we have some good information about, All of our offerings from drivetrain onto blades, and then specifically on drone inspections. There’s contact form right on our website for drone inspections. So if you are interested best place is to go to website or you reach out to me directly especially if it’s blade related. Allen Hall: Megan, I saw on LinkedIn that ONYX Insight is happening at Symposium in October. Megan Rotondo: Yeah. We are hosting our US technical symposium in Boulder, Colorado, where we invite operators to come and discuss technical topics. Allen Hall: Right, and that’s not blade specific, that’s turbine, sort of turbine specific. They’re looking at gear boxes and all the. All the pieces to a wind turbine and, and it, I’ve known people that have attended that and think it’s fantastic. So if you intend on getting to that symposium, you better sign up now, otherwise you’re gonna miss out. And you, you find that by going to the ONYX Insight website and signing up or, or through LinkedIn? I think you could sign up through LinkedIn. Megan Rotondo: Yeah. There’s multiple avenues. So through our LinkedIn there should be a registration link there. As well as our website. Allen Hall: And that will, that will become full very quickly. I, I, I think you had one, was it last year? It seemed to be really popular. Megan Rotondo: I think it’s up to a hundred people. It’s, yeah, but it is limited. So we do have to cap it due to the size of the room and maybe we’ll have to look into bigger venues eventually. But I think like 70 people come from various operators all across the globe, but you know, a lot of North American operators will be there and It is just really good exposure to what’s going on and discussing reliability issues with everyone across the industry. Allen Hall: Well, Megan, it’s been great to have you back on again. We, we love having you on because you. Give us all this blade insight and keep this up to date on the latest offering. So I really appreciate having you on the program and we, we gotta have you back soon. Megan Rotondo: Thank you so much for inviting me. I really enjoy listening to the podcast to find it really informative, so honored to be a guest.
Nearthlab Frequently Asked Questions (FAQ)
When was Nearthlab founded?
Nearthlab was founded in 2015.
Where is Nearthlab's headquarters?
Nearthlab's headquarters is located at 417 Nonhyeon-ro, Gangnam-gu, Seoul.
What is Nearthlab's latest funding round?
Nearthlab's latest funding round is Series C - II.
How much did Nearthlab raise?
Nearthlab raised a total of $23.4M.
Who are the investors of Nearthlab?
Investors of Nearthlab include IMM Investment, NH Investment & Securities, Company K Partners, NAU IB Capital, Mirae Asset Capital and 15 more.
Who are Nearthlab's competitors?
Competitors of Nearthlab include Perceptual Robotics and 5 more.
What products does Nearthlab offer?
Nearthlab's products include NearthWIND Pro and 2 more.
Who are Nearthlab's customers?
Customers of Nearthlab include Siemens Gamesa Renewable Energy, Vestas, Softbank, BP Onyx and NAES.
Compare Nearthlab to Competitors
Clobotics provides a cloud-based industrial data analytics platform. It automatically takes pictures of wind turbine blade surfaces and then uses computer vision to inspect the images on the cloud. Its system notifies maintenance personnel of damages, deterioration, and other early warning signs. It was founded in 2013 and is based in Changning District, China.
Zeitview provides drone services and inspection software to support the transition to renewable energy and sustainable infrastructure. It also provides property, solar, wind, telecom, and utility insights, serving the construction, property management, commercial real estate, solar, insurance, roofing, wind, telecom, and utilities sectors. Zeitview was formerly known as DroneBase. It was founded in 2014 and is based in Los Angeles, California.
Red Mountain Scientific is a drone inspection service provider focused on helping companies manage their turbine or cell tower assets.
SkySpecs provides infrastructure inspections using unmanned aerial vehicles (UAVs). It automates the inspection, diagnostics, and maintenance of utility-scale wind turbines through the use of an automated drone inspection service and analytics platform. The company has developed a lightweight, modular, and scalable system for general-purpose aerial data collection. It was founded in 2012 and is based in Ann Arbor, Michigan.
Aerones provides robot-enabled wind turbine maintenance and inspections service using industrial drones to clean wind turbines. It offers inspection, cleaning, coating, repair, ice-phobic, offshore, and smart inspection bundle solutions. The company was founded in 2018 and is based in Riga, Latvia.
Perceptual Robotics develops drones and computer vision algorithms for the autonomous detection and analysis of faults in infrastructure. Its product includes Dhalion, an autonomous drone for wind turbine inspection offering inspection capabilities from data acquisition to defect identification. The company was founded in 2016 and is based in Bristol, U.K.