 So we had the ID Tech Act show and who are you? Yeah, my name is David and we are here at the Sensitel booth so Sensitel is the project partner of Cassini Consulting and Ergo Insurance and Sensitel has a platform which is called SENSE. It's an artificial intelligence and internet of things platform to customize for different business challenges. So you customize what IoT? Exactly, so we customize application for IoT scenarios, so we have existing customers We have existing customers for the logistic for the logistic field and insurance business and also an automotive, a lot of automotive suppliers but we create always new applications with our customers and because they have a need of solving problems with new artificial intelligence capabilities. So you do applications for what? So for we are a software as a service company, so for instance, we have different success stories I can show you. So our newest customer is Ergo Insurance, a big insurance company in Germany and we were building and developing together the pay-how-you-drive application for them. So for pay-how-you-drive you basically measure the driver behavior of the customers and once you identified where as a good driver or a bad driver, therefore we customize the artificial intelligence and you can basically give your customer and the daily basis discounts. So that's very interesting for the insurance business. Does every customer want to have that or only the good drivers want to have that? Because the bad drivers lose that? The bad drivers lose nothing, so you just can get for instance like gift cards from Amazon or any kind of gratification. So it's kind of interesting also for new drivers because in general new drivers like young drivers they have to pay more than more experienced driver, so they are very interested on this kind of business model. But the bad driver lose nothing, even their experience, sometimes experienced driver is bad. Exactly and one another feature we added to this solution was to give to give suggestions how to improve driving. So it's also interesting for a smart city how drivers can be better and it's also a topic to have more driver-safe environments. And do you have other demos? Exactly. So one big customer is an automotive supplier which delivers everyday thousand of parts to the biggest and or better to say the largest electric vehicle manufacturer in California. And they have a lot of problems. The parts not arriving in time they have to pay penalty costs and we integrated our sense platform and a lot of sensors at the warehouses and at the trucks. So we're also connecting electric vehicle and autonomous trucks and the outcome was that by our artificial intelligence the arrival time will be predicted and also the supplier saved million of dollars in penalty costs because now the manufacturer knows when the parts are arriving and they can also adapt the production based on our artificial intelligence. Adapt the production. Exactly because they know this part for instance needs two minutes longer than expected. So they can decrease a bit the production time and there's no shutdown because shutdown means a lot of penalty costs for our suppliers and customers. So you are basically working with the electric car manufacturer. Exactly. And the supplier the whole and the supplier. Exactly. And that's to optimize the whole. That's a big deal. Right. If you work with you the only one who can do this or Say it again. Is there are the companies doing this or you'd like So we were specialized in that and there's some logistic companies doing the IOT and hardware IOT implementation, but we do the implementation of the senders but also customizing the artificial intelligence. And I would say that's kind of a unique value proposition in the market that we have this already in place. And right up there is the same story. So this is kind of another story for Smart City. So the use case is here that the artificial intelligence predicts basically when the when the electric car will be a charged. And how how is the likelihood that the space will be free for your electric car to go to that place. And the app will basically guide you to the next available charging station point for your electric vehicle in the Smart City. All this sounds like stuff that would be interesting for a company like Tesla. Exactly. But you're not saying who the customer is or so the supplier is ADN. So it's one of the biggest automotive suppliers and this customer we cannot tell. But it's the largest electric German accent. Oh yeah. I'm from Germany. So maybe I'm joking. No, no, it's not a German company. So it's the largest electric vehicle producer in California. So you probably know who is it. And so the company is based in Santa Clara. But it's now also here in Germany. And yeah, we work with Do you do anything with their spaceships? spaceships. No, any spaceships, any spaceships not yet. Not yet. Not yet. No, I'm checking at 6 p.m. They're going to launch the Falcon Heavy different company. And what's the top use case you have that with their robots. Oh, exactly. So we're working with one logistic company together. They have robots in the warehouse, which are picking up goods from the arriving trucks. So here we have basically a combination combination of this use case and the robot use case. So what we're doing here is we know when the truck will arrive because the truck is already connected. We know where the robot is in the warehouse. And now the software basically says when the robot has to be at which truck and on top of that, how much battery is left to fulfill the task. And all this basically combination and basically process optimization is done by the artificial intelligence of sense. I just saw yesterday the most coolest Boston Dynamics robot that can take a whole bunch of boxes and move them around. It looks so cool. Are there a lot of robots in these kinds of places already? No, so it's kind of new. So it's basically the logistic companies catching up with new robot implementations. And that's exactly where they can use sense to basically coordinate the robots and the arriving trucks. And in the future also the autonomous trucks, which has to basically build all together in the overall AI supply chain. So there's a famous guy on Twitter. He was having issues with sleep. He was not able to sleep. There was a lot of issues with the car called the Model 3. And it sounds like what you're doing is really helping. Not just EV, any manufacturing or just EV. Exactly. So how sense works is basically we have existing, we have existing products, which are already in place. I showed you already. But how we can speed up, how we can bring innovation in new companies. So sense has pre-existing templates where companies can basically invent new applications starting in six weeks to test new prototypes. So that's kind of the interesting thing. Six weeks? Exactly. Test what? For instance, if you have a supply chain issue, we can use our pre-existing template with your data and bring up a prototype in six weeks. So, and hi, so who are you? I'm David's colleague. And what are you doing? So we are looking for new partners here at the ID Tech Exchange. So you're doing business development? Exactly. And so who's the partner you want to have? What's the goal? I mean, there is no perfect partner, obviously. What we're trying to do is to show our different use cases we already have so far to show them, okay, our product is working. As David already told you, with pre-existing templates, that means we already looked, we're already one step ahead to see, okay, what kind of solutions or what kind of problems are there, actually. So we can go to customers and say, okay, look in future, we have 5G that will help us to monitor a lot of things really, really fast. If you think about connected cars, for example, if you think about autonomous vehicles, there's lots of signals working together. And so yeah, template, how much work does it take to customize a template to a specific requirements? Of course, it depends always on a specific use case. So far, we could arrange everything within six weeks. Sometimes it may take longer. Of course, it always depends how big the process is itself. So do you do any kind of sensor kind of stuff or is just an app? What part are you doing? This Sense IoT platform has different applications included. And so we partner with hardware companies for sure. So we don't create any kind of hardware. We are software as a service company. So there's some good hardware out there doing good sensing. What part do you do? Like, is it like RFID scanning from far away and stuff like that? So there are different kind of sensors we're using. We're using temperature, GPS, vibration, flow, speed, smartphones for sure. We're using 5G. We focus on the data. Exactly. So what we want to do is we want to collect all the data which is there, which we can actually get. We want to gather the data specifically to the use case of the customer. And then we want to make all this data. We want to make use of the data. Do you have what's called, I mean, if people integrate this, basically your business model, you tell them they're going to save money. So it doesn't matter how much it costs, right? And time to innovate. Time to innovate. Exactly. They will save resources because we're doing it. We're experts on this field. We have data experts with AI experts, of course. We can focus on that, as we've already shown there in the use cases. And then, of course, in the end, we want to show them, okay, if you use our product, you're going to save money. So money can be, for example, because they can be faster. They can increase their service level or they can save penalty costs, as we just showed you in the EV example. Where are you based? So our headquarters, the Sensitel headquarters, is based in Santa Clara in Silicon Valley, but now it's accelerating to Germany. Is that why you have German accent? Exactly. So Sensitel is now in Munich and Hamburg. And are you the leader in doing this? So doing the combination of AI and IoT as a whole integration, I would say we have a unique selling point in this case. There are other platforms. They're focusing more on integration with Oracle or SAP. They're kind of competitors. But in the customization field, I would say Sensitel has a very cutting edge. How many different use cases is possible? Like, a lot? Basically, it's unlimited. But the focus is automotive, manufacturing, insurance, smart cities, and autonomous driving, kind of this field. So it's basically, yeah, you can do it for a lot of different customers, but the connected vehicle is always be part of it in general. Could you work with like cities and governments or something like that, or you just work with companies? So Sensitel was doing already a lot of pilots with smart cities in San Jose, in California, but also in Singapore with some partners. This kind of long-term projects where we also gather basically new ideas and innovation for our products. And who is in the company? How big is the company? So the company has basically 12 employees. So there are three in Germany and nine in the US. And then we have also some developer in India. Nice. And everybody is the best at doing IoT apps and integration and everything. Everybody is like an engineer? No. So we have basically three engineers in the US where Silicon Valley based, so they are kind of really ahead on the market. And they bring a lot of innovation in our artificial intelligence customization. And the rest is like marketing, business development, and also for sure our CEO, which is doing a lot of business development as well. Cool.