SiMa.ai Raised $150 Million in Series C Funding
The company secured new capital to support its platform for artificial intelligence in robots, vehicles, and drones.
Updated on Oct. 12, 2026 in Robotics
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SiMa.ai has successfully closed a $150 million Series C financing round, driving its total valuation to $1.45 billion. The company intends to use the capital to scale its integrated silicon and software platform designed for AI applications.
Why it matters
The investment supports the growing need for high-performance computing systems capable of running AI software outside of traditional data centers. This technology is critical for advancing autonomous functionality in drones, robotics, and vehicles.
SiMa.ai targets processors capable of reaching 1,000 dense TOPS to meet strict power and size constraints. The firm reports that its revenue growth quadrupled between 2024 and 2025.
The players
SiMa.ai
This company provides an integrated platform of silicon and software for edge AI processing.
Fidelity Management and Research Company
This investment firm acted as a lead participant in the latest funding round for the robotics technology developer.
The details
Co-led by Fidelity Management and Research Company and Amplify, the funding round saw participation from major investors including AllianceBernstein, Baron Capital, J.P. Morgan, and the State of Michigan. SiMa.ai provides specialized processors that enable artificial intelligence to function in edge environments where hardware footprints are limited.
Timeline
Revenue growth quadrupled between 2024 and 2025.
The funding announcement was made on 2026-10-12.
The company expects continued revenue growth during 2026.
New products are scheduled for release in the first half of 2028.
Physical AI device shipments are projected to hit 145 million units by 2035.
The Tech Race
This development marks a significant escalation in the race to build power-efficient chips for physical AI, effectively challenging legacy processor architectures. The investment positions SiMa.ai to compete for a share of the estimated $50 trillion market for physical AI applications.
As this technology matures, users may see improved autonomous capabilities in consumer vehicles and smart home drones that function without needing constant cloud connectivity. The increased funding suggests accelerated production timelines for these power-efficient AI systems.
The takeaway
The growth of the physical AI market is forcing a shift toward hardware that can handle complex computations locally. Companies that successfully bridge the gap between silicon performance and power efficiency will likely dominate the future of autonomous systems.
Further reading
For more information on the evolving sector, visit our Robotics section.
Source note: This article includes information reported by Intelligentcio.
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