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SiMa.ai Raises $150 Million to Scale Chips for Humanoids, Physical AI

The semiconductor company plans to use its latest financing to develop higher-performance edge-AI hardware and software for physical systems, including humanoid robots.

SiMa.ai-branded image of a humanoid robot loading dishes into a dishwasher.

SAN JOSE, Calif. — SiMa.ai raised $150 million in Series C financing as the semiconductor company develops a new generation of computing hardware for physical AI hardware, including humanoid robots.

The Series C round, which values SiMa.ai at $1.45 billion, was co‑led by Fidelity Management & Research Co. and Amplify, increases its total funding to $500 million, the company announced this week. Existing investors including Dell Technologies Capital, Maverick Capital, Point72 and StepStone Group participated. AllianceBernstein, Baron Capital, J.P. Morgan and the State of Michigan joined as new investors.

The money is not just for robotics. SiMa.ai develops chips and software for physical-AI applications spanning robots, vehicles, drones and other edge systems. But humanoid robots are a specific focus of the company's next hardware-and-software push, and the new funding will help finance its third-generation platform.

The company is aiming to solve a key computing bottleneck for humanoid robots: running demanding perception, reasoning and control models locally while keeping power and latency low.
Its existing Modalix machine-learning system-on-chip is designed to run AI inference directly on robots. SiMa.ai says the platform can support foundation model operations for humanoid robots at the edge, while its robotics systems perform AI inference under a power budget of less than 10 watts. These are company performance claims without independent benchmarking.
The company has already used Modalix to run Nvidia's GR00T robot foundation-model stack. A SiMa.ai technical brief says the implementation merges perception and reasoning with robot action into one system-on-chip to eliminate cloud processing during operation.

The Series C will fund a more powerful generation of hardware. SiMa.ai is targeting 1,000 dense tera operations per second, or TOPS, for that portfolio, with availability planned for the first half of 2028. This is still a development benchmark, not a deliverable metric.

SiMa.ai has not disclosed how much of the $150 million will be spent specifically on humanoid robotics, nor has it announced a humanoid manufacturer as a customer for the planned third-generation hardware.

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