OmniML is an industry-defining enterprise artificial intelligence (AI) company that aims to effortlessly empower edge AI everywhere. The company enables and amplifies powerful machine learning capabilities to edge devices by bringing greater speed, accuracy, and efficiency in AI through deep learning models that bridge the gap between those devices and AI applications. OmniML demonstrated significant gains in model performance and cost reduction in its initial collaborations with large enterprise customers in multiple vertical markets, with ML tasks running 1times faster on different edge devices.
OmniML is backed by established VCs including GGV Capital, Qualcomm Ventures, Foothill Ventures, and other prominent venture capital firms.
OmniML is founded by Dr. Song Han, MIT EECS professor and serial entrepreneur, Dr. Di Wu, former Facebook engineer, and Dr. Huizi Mao, co-inventor of the “deep compression” technology coming out of Stanford University. The OmniML team also includes world-leading researchers and industry experts from Stanford University, MIT, UCLA, CMU, and other successful AI start-ups. Founded in 2021, OmniML is headquartered in San Jose, Calif. https://omniml.ai/