SiMa.ai raises $150 million in Series C funding
The funding round was co-led by Fidelity Management & Research Company and Amplify Partners.
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Physical AI chipmaker SiMa.ai has raised $150 million in a Series C funding round at a valuation of $1.45 billion.
The funding round was co-led by Fidelity Management & Research Company and Amplify Partners, taking the company’s total funding to $500 million.
The funding round also saw participation from new investors AllianceBernstein, Baron Capital, J.P. Morgan, and the State of Michigan. Existing investors including Alter Venture Partners, Dell Technologies Capital, Maverick Capital, +ND Capital, Point72, and StepStone Group also participated in the round.
The California-based startup will use the fresh capital to expand its Palette Neat agentic software environment and develop its next-generation hardware platform, which is expected to deliver 1,000 dense TOPS of compute. The company plans to target applications across drones, humanoid robotics, automotive driver-assistance systems, and AI-powered cockpit technologies.
Founded in 2018 by Krishna Rangasayee, SiMa.ai develops a full-stack physical AI platform that combines purpose-built silicon with software to enable AI processing on edge devices such as robots, vehicles, and drones. The company aims to provide a power-efficient alternative to traditional GPU-based AI computing while reducing deployment timelines.
Commenting on the development, Krishna Rangasayee, Founder and CEO of SiMa.ai, said, “Physical AI in humanoids, automotive, and drones is the gateway to a $32.4 trillion market that has remained largely untouched by modern innovation.” He added that the company has built an integrated hardware and software platform to support the next wave of AI-driven physical systems.
The investment comes as demand for edge AI infrastructure continues to grow. According to Counterpoint Research, cumulative shipments of physical AI devices, including robotics, automotive systems, and drones, could reach 145 million units by 2035, highlighting increasing opportunities for companies building AI hardware and software solutions.