 I'm Kevin Leary, I'm the founder and CEO of Power Hydrant. So you were just asking him some questions. So what do you think about the technology right here? Well, I was just going to ask him how it works and what level of traction they've gotten with it in terms of getting it out to market. And who are you? What do you do? Oh, my name is Barry, Barry Fitzgerald. I'm a rep. A rep? Yeah. So right here, what do you show here? Yeah, yeah. So we actually have our conductive robotic EV charging system. The concept is simple. It's a robot that can conductively connect to an electric vehicle. We're showing a Nissan Leaf here as a target vehicle. Frankly, our early customers will be people operating electric buses and electric delivery vans. Ultimately, electric Uber autonomous vehicles are on our customer base. And the thing these people are interested in is either the autonomous aspect of it or the labor reduction aspect of it combined with the fact that since we're conductive and since we're a machine, we can handle massive amounts of electrical current into a target vehicle. So for example, some of our customers are interested in charging at rates of up to 500 kilowatts. That's 1,000 amps going to the vehicle. So you can only do that with a copper wire and it's going to be a big copper wire. So why not do it with a machine? On an autonomous vehicle, it doesn't need a human to drive, so why have a human to charge it? And the intent here is to eliminate the human. And then on a more systematic basis, power hydrant is sort of one link in an overall energy chain where things like electric school buses and electric buses can really be an energy storage system when they're idle. And that energy storage system can be connected to the grid with power hydrant through its conductive bi-directional conduction. So you have a computer vision directed robot for hands-free automatic affordable EV charging. And so this is... how do you do that? Yeah, so basically we're using smartphone components. We've got a connector and there's a better view of it here. We have two image sensors that are right out of a smartphone. They're already price commoditized. And we're using those image sensors to calculate a stereo 3D point cloud. And that's a sparse point cloud, that's a green blob here. It's just a portion of the vehicle, but we're also in radio contact with the target vehicle so we know the model of the vehicle, in this case the Tesla Model S. So we pull up a virtual reality model of the Tesla Model S, computationally align it to the 3D point cloud, and with that we know everything about the Tesla Model S. Where the inlet port is, we also know a collision map. We can tell the robot don't go near these areas because that's where an actual car is. And we're taking advantage of the commoditization of all this technology by way of the smartphone. And we've got some videos running here. Here's an example of the original sparse point cloud. Then it is expanded out to include our proximity map. And then we align the target vehicle pulled from our library and you can see it going through a slow down version of our alignment process. This is all synthetic computation happening in the robot. And it actually is an example of augmented reality mixing with reality to give the target of the robot to connect to it. So how far in the future is this? Well, we have a prototype with a customer right now and our biggest constraint is financing, frankly. So we're living in an era where the smartphone dividend is exploitable by industrial products like this. We're a small startup so we've got constraints of financing keeping us getting this product to market. If we were a fully financed operation, it would be in market today. So it's just about maybe Elon Musk is around in the conference or somebody and then it happens? That's part of the dream. I think dealing with an important manufacturer like Tesla and others, you have to have your act together. So to some degree you have to be at the right place in your life to be with an important customer like that. We're probably a little bit early for Elon Musk but eventually we'd love to do a deal with them. How long have you been working on this? So we've been working seriously on this for about two years. We are part of the MIT Startup Exchange. We were part of the Autodesk Startups in Residence program and now we have Office Space in the Innovation District in Boston.