Raven SIGNED

Project "Raven" data sheet

The following table provides information about the project.

 Partnership

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Map

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 Project objective

We are developing Raven—a novel AI autonomous flight control system. Raven is an airframe-agnostic solution targeted at fly-by-wire aircraft of today (fixed-wing airplanes & helicopters) & tomorrow (eVTOLs & others). It is a combination of custom-designed neural networks, core avionics software, computer vision algorithms & special-purpose aviation-grade hardware. We are developing a special kind of neural networks that are deterministic by design, built specifically for the purposes of certification in aviation. They learn while they are getting trained, they don’t learn when they are piloting aircraft. They run in the dedicated environment & on certifiable hardware that we are creating. This is a major innovation over the generic state-of-the-art in AI. Airbus forecasts that the potential demand for eVTOLs in the urban air mobility market will be 100X bigger its current yearly production of helicopters. This market can only grow with full flight autonomy provided by Raven. We have raised €4m of funding & already generated €110,000 in early revenues. Our current deal pipeline is worth €2m. As of May 2019 we have signed agreements with 14 most prominent eVTOL OEMs (out of 85) & have been approached by dozens of others. We are already working with high-profile eVTOL manufacturers such as Volocopter, Lilium Aviation, Kitty Hawk, Dufour Aerospace & multiple others. We also have closed commercial agreements with the avionics vendors, drone OEMs & traditional aircraft OEMs such Euroavionics, AirTractor & Airbus Helicopters. We have also entered a strategic commercial partnership with a major German car manufacturer that wants to enter the eVTOL market & sees Raven as the key enabling solution. Starting with 2020 we forecast steady cashflows with the drones & existing general aviation market segments. To reach a unicorn valuation we are betting on the urban air mobility market segment.