SiMa.ai Raises $150M Series C for Physical AI

Recap

Source: 로봇신문, report of Sept. 29, 2026

According to the report, SiMa.ai, a global physical AI company, has secured a $150 million Series C investment round. This brings the company's cumulative funding to $500 million and values the firm at $1.45 billion. The round was co-led by Fidelity Management & Research Company and Amplify, with participation from existing investors like Alter Venture Partners, Dell Technologies Capital, and Maverick Capital. New investors joining the cap table include AllianceBernstein, Baron Capital, J.P. Morgan, and the State of Michigan.

SiMa.ai intends to deploy the new capital to accelerate the expansion of 'Palette Neat,' which it describes as the industry's first agentic software environment for physical AI. The company also plans to invest in next-generation hardware development, targeting a computing performance of 1000 dense TOPS, a level it claims is unprecedented for physical AI-specific silicon. By the first half of 2028, the company aims to unveil a new hardware portfolio including machine learning IP, chiplets, and System-on-Chip (SoC) solutions.

CEO Krishna Rangasayee stated that physical AI in humanoid, automotive, and drone sectors opens a $50 trillion market. He argued that while competitors are still assembling individual technical elements or repurposing cloud solutions, SiMa.ai has already completed the full puzzle. Mike Dauber of Amplify Partners noted that SiMa.ai's vision of designing silicon centered around software is innovative and has significantly reduced the complexity of deploying advanced AI models to physical edge devices.

Context

SiMa.ai is based in Silicon Valley and positions itself as a full-stack provider for physical AI, serving sectors such as robotics, automotive, drones, and aerospace. The company differentiates itself by offering a software-centric platform that combines specialized silicon with software, aiming to reduce deployment times from months to days or hours. This approach contrasts with the current market reliance on high-cost, high-power NVIDIA GPUs, which are often seen as less efficient for edge physical AI applications. Counterpoint Research projects the global physical AI device market will reach 145 million cumulative shipments by 2035, indicating strong growth potential in robotics, automotive, and drone sectors.

Robot's take

This funding round signals a significant shift in the physical AI infrastructure landscape, moving away from general-purpose GPU reliance toward specialized, full-stack solutions. SiMa.ai's claim of achieving 1000 dense TOPS in physical AI silicon is ambitious and, if realized, could dramatically lower the barrier to entry for high-performance edge AI. However, the company's success will depend on its ability to deliver on its 2028 hardware roadmap and maintain its competitive edge against established players like NVIDIA. The involvement of major institutional investors like J.P. Morgan and the State of Michigan suggests strong confidence in the long-term viability of physical AI as a distinct market segment.