Teradar vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $150M Series B (Nov 2025) from Lockheed Martin, Capricorn Investment Group, VXI Capital. $175M total. Summit sensor unveiled at CES 2026. 5 top automakers engaged. All-weather terahertz sensing.
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Teradar is developing Summit — a terahertz-band vision sensor that combines the high-resolution imaging of LiDAR with the weather-penetrating capability of radar, addressing the fundamental limitation that has blocked autonomous vehicle deployment in rain, snow, and fog. The company raised $150 million in Series B financing in November 2025 from Lockheed Martin Ventures, Capricorn Investment Group, and VXI Capital (a defense-focused fund with former DARPA/DIU executives), bringing total funding to $175 million. The Summit sensor was unveiled at CES 2026 with five top automakers engaged in evaluation programs.
Universal robot brain startup raised $1.4B Series C at $14B valuation in Jan 2026 led by SoftBank with Nvidia and Bezos; $30M 2025 revenue; deployed at Foxconn
About
Skild AI is building a universal robot brain — a foundation model for physical intelligence that can power a broad range of robot types without requiring task-specific training for each deployment. Founded to solve the fragmentation problem in robotics AI, where every robot type and task requires separate model development, Skild's approach trains a single generalist model on diverse robotic data and fine-tunes it rapidly for specific deployments. The company was founded by robotics AI researchers who identified the model reuse gap as the primary barrier to scalable robot deployment.\n\nSkild's generalist robot model has been deployed across more than 30 distinct robot types — spanning manipulation arms, mobile platforms, and humanoid form factors — demonstrating the cross-hardware generalization that most robot AI systems lack. The platform targets robotics manufacturers, logistics operators, and industrial automation companies that need AI-capable robots but lack the internal ML infrastructure to develop foundation models themselves. By offering a model-as-a-service layer, Skild enables robot OEMs and systems integrators to add AI capabilities without building the underlying research infrastructure.\n\nSkild AI raised a $1.4 billion Series C in January 2026 at a $14 billion valuation, led by SoftBank with co-investment from NVIDIA and Jeff Bezos. The round was one of the largest in robotics AI history and reflects institutional conviction in the physical AI market's scale. With $30 million in 2025 revenue and accelerating enterprise deployments, Skild is building the financial foundation to match its valuation. The SoftBank-NVIDIA investor combination positions Skild at the center of the global robotics deployment wave.
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