The Series C close brings the company’s total funding to $170 million These announcements come in concert with the company’s other release from today, disclosing the $100 Million close of Series C funding, led by Next47 with participation from Levitate Capital, NTT DOCOMO Ventures, and existing investors including Andreessen Horowitz, IVP, and Playground. While the hardware and industrial scanning advances are noteworthy, the IP of flight path recognition and adjustment lays the very foundation of algorithms that the next generation of aerial mobility aircraft will rely on during autonomous or partially autonomous operations – allowing planned flight paths to morph as required to safely transport passengers from point A to point B. Along with the advanced 3 dimensional mapping tech, Skydio also highlighted their industrial scanning and hardware upgrades that accompany the X2 initiative. Skydio shared that the Civil Air Patrol, Ohio Department of Transportation, North Carolina Department of Transportation, Southern Company, Chula Vista PD, and Japan Infrastructure Waymark, among others, have already employed its use. The technology has already been tested in the field as well. It can also serve as an expert copilot, turning anyone into a skilled operator, while Skydio Autonomy dynamically controls the drone’s navigation to avoid obstacles even in GPS-denied environments. The core IP is called Skydio Autonomy the “AI-powered brain built into every Skydio drone” The technology “creates a 3D understanding of the drone’s surroundings in real-time and predicts into the future to make intelligent decisions” and allows Skydio drones to fly themselves with the skills of an expert pilot. A rendering of the discretization of flight path objections used in Skydio’s Autonomous flight path control algorithms.
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