Physical AI chip developer SiMa AI hits $1.45B valuation

The cost of AI chips drops by more than half for embedded applications.

SiMa.ai, a startup focused on developing specialized chips and software for on-device AI processing in robots, drones, and cameras, has successfully raised $150 million in a Series C funding round. This investment propels the company's valuation to $1.45 billion. The round was jointly led by Fidelity Management & Research Company and Amplify, with contributions from Alter Venture Partners, Dell Technologies Capital, and StepStone Group. SiMa.ai aims to compete with established players like Nvidia by offering more affordable, energy-efficient chips that reduce latency and eliminate the need for constant cloud data transfer. The company, founded in 2018 by former Groq COO Krishna Rangasayee, has now secured over $500 million in total funding since its inception. This latest funding round marks a significant increase from its Series B round in July 2025, which valued the company at $960 million.

This funding round for SiMa.ai underscores the significant investor appetite for hardware solutions enabling edge AI, particularly for robotics and autonomous systems. The company's focus on energy efficiency and reduced latency directly addresses key challenges in deploying AI in physical devices, suggesting a market readiness for specialized silicon that can process data locally. This development indicates a broader industry trend towards decentralizing AI processing, moving away from a sole reliance on cloud infrastructure for complex computations.

SiMa.ai's success, especially with its valuation jump, signals a growing competition landscape for AI hardware that could eventually challenge the dominance of general-purpose GPUs in specific applications. Companies and developers working on AI-powered physical products may soon have more accessible and performant hardware options, potentially accelerating the development and deployment of new intelligent devices. The market should watch how SiMa.ai's pricing and performance stack up against Nvidia's offerings as they target the expanding physical AI sector.