OmniML, a San Jose, CA-based startup developing smaller and faster machine learning models, announced $10 million in seed funding to accelerate the use of artificial intelligence (AI) on edge devices.
The round was led by GGV Capital, with additional investment by Qualcomm Ventures, Foothill Ventures, and a few other venture capital firms.
Company: OmniML
Raised: $10.0M
Round: Seed Round
Funding Month: March 2022
Lead Investors: GGV Capital
Additional Investors: Qualcomm Ventures, Foothill Ventures, and a few other venture capital firms
Company Website: https://omniml.ai/
Software Category: AI Computing Edge
About the Company: OmniML was founded in 2021 by Dr. Song Han, MIT EECS professor and serial entrepreneur, Dr. Di Wu, former Facebook engineer, and Dr. Huizi Mao, co-inventor of Stanford College's "Deep Compression" technology. OmniML solves a fundamental disconnect between AI applications and edge hardware to make AI accessible to everyone, not just data scientists and developers. OmniML is an industry-leading artificial intelligence (AI) company with a mission to effortlessly enable AI everywhere. OmniML enables and empowers smaller, scalable machine learning models (ML) on edge devices to make AI inferences at a level not possible today outside of data centers and cloud environments. OmniML's approach has already achieved orders of magnitude improvements for many important ML tasks on edge devices. The OmniML team also includes world-leading researchers and industry experts from Stanford College, MIT, UCLA, CMU, and other successful AI startups.
Source: https://www.businesswire.com/news/home/20220329005364/en/OmniML-Secures-10-Million-to-Accelerate-AI-Computing-on-Edge-Devices