SiMa.ai Eyes $1.4 Billion Valuation With New Edge Inference Chip Funding Round
San Jose-based edge inference chip startup SiMa.ai is in talks to raise a new funding round at a $1.4 billion valuation, according to a report by The Information. The move signals that investor appetite for specialized AI chips beyond the Nvidia-dominated data center market remains alive and growing.
Betting Big on the Edge
Founded in 2018 by former Groq COO Krishna Rangasayee, the company targets edge AI applications operating between 5W and 25W of energy usage a performance sweet spot sitting above basic phone chips but well below power-hungry data center gear. SiMa.ai’s chips are designed for devices like drones, cameras, robots, autonomous vehicles, and diagnostic machines, where cloud connectivity is limited and low-power AI inference is critical.
The edge inference chip startup SiMa.ai has, to date, raised $355 million from investors including AIspace Ventures, BDT & MSD Partners, Jericho Capital, and Maverick Capital. Its most recent product launch, the MLSoC Modalix platform, targets what the company calls “physical AI” a second-generation system-on-chip designed for multimodal workloads including robots, industrial equipment, and vehicles, capable of running large language models like Meta’s Llama on-device.
SiMa.ai claims its platform delivers 10x better performance per watt than immediate competitors, a critical advantage for edge deployments where power and cooling constraints are non-negotiable.
The embedded edge AI segment SiMa.ai targeting estimated to be worth around $40 billion, spanning healthcare, smart retail, autonomous vehicles, government, and robotics. The new round, if completed at the reported valuation, would mark a significant jump from its previously reported figures and underline investor confidence in the non-Nvidia corner of the AI chip market.
