Physical AI chip startup SiMa.ai raised a $150M Series C led by Fidelity and Amplify at a $1.45B valuation, aiming to compete with Nvidia's CUDA-based hardware

Custom AI chips for embedded systems are now available at a higher valuation, potentially creating new hardware choices for robotics and autonomous vehicles.

SiMa.ai, a startup specializing in physical AI chips, has successfully raised $150 million in a Series C funding round, valuing the company at $1.45 billion. The round was co-led by Fidelity Management & Research Company and Amplify, with participation from other notable investors including Alter Venture Partners, Dell Technologies Capital, StepStone Group, AllianceBernstein, Baron Capital, and J.P. Morgan. This funding will enable SiMa.ai to scale its development environment, known as Palette Neat, and to build the next generation of its embedded AI compute platform, Modalix. The company aims to deliver 1,000 tera operations per second with its next-gen hardware in the first half of 2028. SiMa.ai is positioning itself as a competitor to Nvidia, offering a potentially lower-power, custom-built silicon and software solution for applications in robotics, drones, automotive, and AI-powered cockpits.

SiMa.ai's significant funding round signals growing investor confidence in the dedicated hardware market for physical AI, distinct from general-purpose AI accelerators. The company's focus on a purpose-built, lower-power platform aims to address the specific needs of real-world AI applications where efficiency and deployment speed are critical. This strategy positions SiMa.ai to challenge Nvidia's established dominance in the AI hardware ecosystem, particularly in sectors like robotics and autonomous systems that require integration with sensors and actuators.

The success of SiMa.ai's funding round suggests a potential bifurcation in the AI hardware market, with specialized solutions emerging to complement or compete with broad-market offerings. Developers and manufacturers of physical AI devices may soon have more tailored hardware options that promise faster deployment and reduced power consumption compared to existing solutions. The trajectory of SiMa.ai's next-generation hardware and its ability to capture market share from incumbents like Nvidia will be crucial indicators of this evolving landscape.