OmniML is an industry-defining enterprise artificial intelligence (AI) company that aims to effortlessly empower edge AI everywhere. OmniML is backed by established VCs and world-leading researchers and industry experts. Founded by Dr. Song Han, MIT EECS Professor and experienced start-up founder, Dr. Di Wu, former Facebook engineer, and Dr. Huizi Mao, co-inventor of the “deep compression” technology coming out of Stanford.
OmniML solves a fundamental mismatch between AI applications and hardware to make AI more accessible everywhere. OmniML works ARM’s hardware ecosystem with robust support for Cortex-A, Cortex-M, GPUs, and NPUs.
OmniML is helping multiple customers achieve massive savings in computational and model design efficiency costs; our technology enables optimized hardware-aware AI models on all possible edge devices. Founded in 2021, OmniML is headquartered in San Jose, Calif.
OmniML on hardware-aware AI optimization and deployment
OmniML accelerates the design and deployment of high-performance, hardware-aware AI across all devices. Our software simplifies this process by empowering users to identify and create deployment-ready optimized models at the model design phase.
OmniML Emerges from Stealth to Empower Edge AI Everywhere with Ease
OmniML builds machine learning (ML) development software to help our customers design and train optimal models tailored to target hardware platforms which enable faster model speedups with higher accuracy and reduced time to production