About SiMa.ai
SiMa.ai makes machine learning system-on-chip products for AI at the edge, meaning devices that process data locally such as robots, cameras and vehicles. Its MLSoC puts the neural accelerator, CPU cores and vision processing on one chip, so a whole application can run there and not just the neural network portion. The second generation, Modalix, targets multi-modal and generative AI and comes in several performance tiers. The company was founded in 2018 by Krishna Rangasayee, a former Groq executive, and is based in San Jose, California.
SiMa.ai was founded in 2018 and is based in San Jose, CA, United States. It is listed under Edge Computing, AI Accelerators. Reported funding is $85M (Maverick Capital, 2025) + Micron strategic investment (April 2026).
Compute Technologies
- Edge Computing
- AI Accelerators
What SiMa.ai works on
Edge Computing
Edge computing means processing data close to where it is produced, on a device or a nearby server, instead of sending everything to a distant cloud data center. In chip terms, edge processors are small, low-power chips that run software and AI models inside phones, cameras, cars and sensors.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
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