SiMa.ai designs computer chips that let robots, vehicles, factory equipment, and other physical devices run AI software directly on the device — without needing to send data to the cloud. Their chips are built to be extremely power-efficient, using a fraction of the energy that traditional processors require. While competitors like Nvidia focus on high-power data center GPUs, SiMa.ai targets the 5W-25W embedded edge segment with a software-centric architecture that delivers 10x better performance per watt. Their platform runs entire ML application pipelines on a single chip, eliminating the host CPU bottleneck that plagues rival solutions.

The rapid expansion of generative AI to edge devices — enabling robots, drones, and vehicles to run LLMs, vision language models, and multimodal AI locally — is driving surging demand for SiMa.ai's low-power silicon.

SiMa.ai raised an $85M funding round led by Maverick Capital in August 2025, bringing total funding to $355M, and began shipping its second-gen Modalix MLSoC platform along with the LLiMa on-device framework for running large language models at the edge.