2.28-29.24-Ethics-Carbin-AI

MAZDAK TOOTKABONI: Hi, my name is Mazdak Tootkaboni, and I am one of the co-founders of Carbin AI. At Carbin AI, we are developing citizen-enabled, reliable, and scalable solutions from telematics data that enable greener and safer roads.

Now, the ultimate goal of the team at Carbin AI is to develop a platform that allows for predicting and monitoring the state of the entire roadway network, a network that is massive in size and extremely complex, and a network that is dynamically changing with change agents that are extremely difficult to understand and track.

Now, the solutions out there are either affordable and scalable but not reliable, or they are reliable, but they're not affordable and scalable. And it's because they rely on either light instrumentation or heavy instrumentation.

Now, what we do at Carbin AI is that we try to have the best of both worlds. We are basically using minimal amount of data and provide reliable and scalable solutions by bringing in a third element, which is the physics of transportation, and that will allow us to get the same results as highly instrumented systems with minimal amount of data, and that allows us to be scalable.

Now, so far at Carbin AI, we have been able to use telematics data analytics to infer driver behavior and mood of the road. We have been able to look at road surface condition. We have been able to monitor the road surface condition at the scale of the entire U.S. network, like new developments underway where we are trying to expand on two new fronts, one to look at the interaction of tire and road and the other to basically look at how driving style and where you drive impacts the wear and tear of your vehicle.

Now, on driving safety, what we have done is that we have merged telematics data analytics, AI, and statistical physics to look at the collection of vehicles as interacting particles. What that has done is that it has allowed us to now provide measures that in contrast to the common measures out there in the market, allow for predicting the future state and therefore, early intervention.

On road surface condition, we have combined telematics data analytics, AI, and mechanics of road vehicle interaction to be able to monitor the state of the roadway network at a massive scale. And that we believe is a game changer in road asset management. It turns out that not only it is important from the road asset management, it also has important impacts in terms of fuel efficiency and economy of driving.

We are at a stage now where we can work with any client, whatever the platform is that they use for collecting and transmitting data. We have now developed an automated pipeline that interfaces with what you have as your data infrastructure, and we can provide interactive solutions, creative display solutions that you would enjoy while interacting with your clients.

Two examples, two partnership examples, one is with Michelin DDi on road safety, and the other is with Taisei Rotec in Japan, which is on road surface condition monitoring. And this is what we're looking for in terms of partnership. My time is up.