 Hello, I'm Ari Duonen and I'm from RoadCloud. RoadCloud is a connected car data platform. We are currently responding to customer attraction and heading to Germany with the help of A-Round. So I've been working for road friction estimation for 15 years. Road friction is needed, for example, in automatic emergency braking systems to calculate the braking distance. The technology was first developed as a driver support system, but it has evolved to enabling technology for autonomous cars. So what we do, we collect data from moving vehicles and create road and traffic information database. For example, we can give a proactive warning for an autonomous car that is approaching a dangerous traffic situation. I think we all agree that even human drivers do not adapt well to different road conditions. It can be difficult to detect if there's black eyes on the road. And indeed, human errors in traffic accidents are well tolerated, but we will not accept that a robot car breaks too late on a slippery road. This is also an important liability issue for the car manufacturers. So why this haven't been done already? First, the data belongs to the vehicle owner, but they do not have access to this data and also single car data is not that valuable. Meanwhile, OEMs will have access to this type of data, but can't they monetize it just like that? For example, a normal car in Europe drives only one hour per day, so this instrumentation is too expensive to be installed in all cars. Secondly, are the OEMs really willing to go for the service business? Are they ready to give incentives for the fleet owners for the data? So currently, there is no road data provider coming from the cars, and this is where we jump in. So what we do? We install a specific instrumentation to a fleet of commercial vehicles that drive day and night up to 20 hours per day. We stream the data wirelessly to our cloud database. We apply advanced data analytics to this massive data set. And we can refine new information products from this data set without adding any new hardware. And we can provide easy access for the data for our customers. Currently, we scan around 12,000 kilometers per day in Helsinki. We have data orders for over 100,000 euros. And we have customers from several different segments, including government, organization, road, weather forecast company. And we have a premium term, an OEM, as a paying customer. So this is our core team. We have experience in service business, big data cloud computing and vehicle engineering. We have a booth today, B40, be there and enjoy our real-time data coming from our fleet. Thank you. Gita Sarri, any comments or questions? Can you tell us a little bit more about the economics? How much it actually costs you to get one of these devices in? How much it costs to run? And how valuable is the data per kilometer, per 10,000 kilometers, whatever? Yeah, we all the time work with the hardware to make it cheaper. The most expensive component is the optical road sensor. It's electronics are manufactured in China, but we still need to assemble those by ourselves. We're going to outsource that. Then we need to read the cannabis of the vehicle. And we have, of course, GPS, GNSS system for the position of the car. And we have a radio modem for the data transmissions. So those are the components that we need. But this optical sensor is still the most expensive one. And so what sort of order of magnitude are we talking in terms of cost? How much per car? Hundreds of euros. And what's the sort of payback? What would you imagine the payback period is on that? How valuable is this data? What will people pay for it? It's difficult to evaluate the revenue because we have so many possible customer segments right now. I think for the payback for the hardware is pretty quick. That's why we install this only for the cost that drive a lot. That's why it pays back quickly. If the car drives only to your office and back to the home, it's not valuable for us all. They need to operate early in the morning to help the road maintenance to prepare their actions. And what's the incentive for them to share this data? So how does that work, that part of the equation? The fleet incentives. They get basically a fleet racking and we have analyzed some accidents for them to know exactly what happened over there. So we have these kind of incentives for the fleet owners. So you don't pay them? Not currently. But they usually pay for the fleet racking system like 30 euros per month and they get currently this for free. What's your long-term vision for this company? Where do you see it going in 10 years time? Yeah, we'd like to really be a connected car data platform that other companies can build their products on our data. We might even buy some data in and be as a data broker for connected car data. But this is how we start. We have our own specific instrumentation that is very valuable and we can sell directly this data. We are not planning to sell these warnings directly for the consumers like drivers. We leave this for the other companies who can build on our data. You mentioned a little bit about how you replace fleet tracking systems. So how do you think about those companies potentially being interested in this market? Or is that not an issue? Well, you mean the possible exit companies? Yeah, of course automotive OEMs are interested in this kind of technology in general. Our optical sensor is interesting for the tier one suppliers. Like it could be later integrated into the vehicle component like to the headlights or windscreen of the vehicle. Maybe together with the LiDAR sensors or radars of the car. Also data intensive companies like here who deliver traffic information on Google and Apple and media mobile. Alright, thank you.