theCUBEd Awards | Weather Hazard Alerts by Lytx (Transportation and Mobility)

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Brendon Hill

Senior VP Product

Lytx

AI in motion: How Lytx is shaping the future of transportation safety

In the age of artificial intelligence, Lytx Inc. is making its mark with AI-powered transport products that enhance safety and efficiency. The company uses cutting-edge technologies such as machine vision and AI to protect both people and valuable assets in motion, according to Brendon Hill (pictured), senior vice president of product, at Lytx.“Our goal is to ensure that every journey ends in a safe return,” he said

play_circle_outline Lytx wins award for AI enabled products in transportation

play_circle_outline Enhancing Customer Asset Safety with AI and Machine Vision in Transportation Industry

play_circle_outline Implementation of high frequency experiments and feedback loop for innovation

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Weather Hazard Alerts by Lytx (Transportation and Mobility)

Brendon Hill

Senior VP Product Lytx

Brendon Hill, senior vice president at Lytx, joins theCUBE's Tech Innovation CUBEd Awards to discuss Lytx’s award-winning entry for AI-enabled products in transportation and mobility. Hill elaborates on the remarkable technological advancements driving Lytx’s mission to ensure safe journeys. Analysts from theCUBE offer insights during the interview, reflecting on the innovation and its impact on the industry.

The session emphasizes the application of Artificial Intelligence in enhancing road safety through hyper-localized weather alerts and real-time d... Read more

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What award did Lytx receive and who was welcomed on board? add

What is Lytx's goal and how do they work to ensure every journey ends in a safe return? add

What capability did the company implement that allowed for forward-leaning innovation and the creation of hyper-localized weather alerting? add

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Weather Hazard Alerts by Lytx (Transportation and Mobility)

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>> Hello, and welcome to the CUBE's Tech Innovation CUBEd Awards where we are celebrating the winners of our inaugural program. The competition was fierce, and we received an exceptional number of high caliber entries that showcase the incredible innovation happening across the tech landscape. Today, I'm excited to be joined by Brendon Hill, who's the SVP of Lytx, to discuss their award-winning entry and the innovation behind it and how they are driving their industry forward. Lytx received the top honors in the top AI enabled products category for transportation and mobility. Congratulations, and welcome on board, Brendon.

>> Thanks so much for having me. It's great to be here and really honored to win this award on behalf of the team.

>> Yeah, I mean, I think again, it's really, I look at this as one of the most important categories because of the fact that you're bringing it to your customers, and it was kind of taking that customer mindset as we were going through and judging it and seeing how did that innovation really play out for the customers. So let's dive into my first question for you, which is the innovation is central to these awards, can you tell us a little bit about Lytx and share specific examples on how you and your company approached a challenge to innovatively and what the impact was of that innovative solution that led you here?

>> Yeah, thank you. I'll start a little bit with what Lytx is, what we do, and what we value. Our goal is to ensure that every journey ends in a safe return. So it's a powerful mission that resonates with me and a lot of folks at the company. But how do we do that? So we are in the transportation space, and our product is essentially a set of a sensor package that we put in in-vehicle, so a camera, camera facing outward, camera facing inward, and we've layered on top of this some really great technology around machine vision, artificial intelligence, to identify risky behaviors happening on the road within the cab, and we're able to advise drivers on safety as well as managers and the organizations that we support. So through this, what we do is really protect our customers' most valuable assets in motion, is what we say. So that's really protecting their people, protecting their equipment, and ultimately protecting their reputation.

>> Yeah, which is huge. And I think, again, I don't know anybody who could vote against safety, let's put it that way. Simply put, I mean, I think it's one of these things when you all look back, and you look back at the company's journey and what was kind of the key turning point or decision that helped lead you to this recognition today, what drove you, this funny pun, drove you this direction?

>> Yeah, I noticed that in your intro. I appreciated that. So this particular win is around our ability to bring really hyper-localized weather and other conditions to support the drivers and real-time operations for our customers. So there are really two key things, one an insight and one a capability. So the insight was really as we looked at our customers' data, and we have over a million customers, billions of miles of driven data, rich video data, we recognized that there was an increase, about 20% increase, in claims costs during the winter months. And so that was a starting point. We then dug into the data a little bit more, and then by looking at the actual video themselves and sorting through it using AI to classify if there was adverse weather going on, we found that when in the presence of adverse weather, our customers are impacted by north of a billion dollars of incremental loss. So this really triggered us that there is a critical need around being able to manage weather situation, and it's not good enough to take the weather report, right? We're talking about hyper-localized weather. And so another key capability we put in, a transformational moment for us, was to realize that to be more forward leaning with our innovation. So we started something called Lytx Labs where we're not waiting for everything to be completely buttoned up. What we're able to do is leverage data and our significant history in AI to really do experiments on the data and bring really high frequency experiments to our customers, really get them to be able to play with these ideas, give us feedback, iterate on it, and that's how this kind of hyper-localized weather alerting was born and was enriched before we ultimately take it to the product as a really kind of hardened solution.

>> As I'm coming to you from our Boston studio, where, to put it mildly, I live about 15 minutes south of our studio, and the weather here up on the hill can be extremely different than where I live down in a valley. It is unbelievable. So I fully understand what you're talking about there, and I love that you're also, again, it's, there's a lot of hype around AI, and it sounds like you guys have been in this AI business for a while, and that's really driven a lot of the underpinnings there. Is that really where all this innovation comes from as well, is that again, you're really into the, I mean, again, everybody's into tech, or you wouldn't be on here, but you're really looking at how it's applied AI. It's not just the fad of gen AI being shoved into a chatbot. You're really using real, or what I would call traditional, AI as well.

>> Absolutely. So really it starts, our legacy is in safety video. And as the technology improved, first it was just recording things, right? And those would be available if there was an accident or what-not, but really we have a long legacy in being excellent at taking this video and interpreting it through AI. And so first it was really around looking at behaviors on the road. How close are you following? Et cetera. Are you on your cell phone? But what we recognize is we could, video is such a rich source of data, we could extend it. And so what we're doing now is using AI to really classify the conditions of the road for all these videos and the scale, the network effect of a million vehicles on the road. If you just do the math, we cover every mile of road in the US every five minutes. Now, not every section of road, but if you look at our customer base, not only do we have trucks going across the country, so there's extreme resolution on our highways, but we have many customers in waste disposal and what-not, in local services where people are, whether it's going around delivering packages or performing services at people's homes, so we have a great resolution even on local roads as well. And so bringing together that legacy of AI as well as the network effect based on our scale, really made this possible.

>> Yeah, no, I think that's some great examples of why your company exists and what was possible now with this innovation versus what wasn't possible before. Last thing, let me get your final thoughts on this and on winning this award, and again, where you think you're going in the future here.

>> Well, we're super grateful about the award, and maybe to really put a cap on it, I can share with you a little bit of our customer's experiences, maybe one or two examples that really bring it to life and really bring the value into this recognition. So one, Europe and Boston. So in the Northeast last winter, we were able to get some very good data quickly to our customers where they could actually see the road conditions, not just know it was snowing, but look, the roads were not being cleared. There was ice. They pulled 500 trucks off the road for a portion of the day, but they had the data to share with their customers that they were making deliveries for, to really be able to explain the situation and kept their drivers safe, but also had a good customer experience. In the hyper-localized area. We have a customer down in Florida doing construction, concrete trucks, et cetera. In Florida, there's pockets of fog. And so our customer's able to actually to see the roads right around their centers. Concrete trucks don't drive very far, but they're really able to know what the local conditions are, and they can really impact the safety briefings as they talk to the drivers in the morning and getting them prepared for the day. So it's a phenomenal honor. We're making an impact, which is the most important to us, but we really see this going in the future is continuing to bring more context into video, into safety, to provide our drivers and our customers with a lot more information about the trip they're about to take, to ensure it ends with that safe return.

>> I think that's fantastic. I really appreciate you coming on board and explaining that. I think, again, check them out. I think there's some really interesting stuff. I learned stuff going on your website and going through and checking things out, and I think to me, how can you vote against AI and safety? I mean, to me, that's one of the best uses of it ever. So thank you, Brendon, for coming on board and hope to have you on again soon.

>> Thank you so much.

>> And thank you all for watching this portion of the CUBE Tech Innovation CUBEd Awards. We'll be back with more. Take care and stay tuned.