Artificial intelligence startup OmniML Inc. came out of stealth on Tuesday with $10 million in seed funding.
The San Jose company is developing what it says are smaller and faster machine-learning models for the use of AI on devices at the edge of data networks. OmniML says its technology helps users perform AI inference at levels that are impossible today outside of data centers and cloud environments.
"AI is so big today that edge devices aren’t equipped to handle its computational power," CEO Di Wu said in the funding announcement. "That doesn’t have to be the case."
Former Facebook engineer Wu cofounded the company with Massachusetts Institute of Technology professor Song Han and Huizi Mao, the co-inventor of "deep compression" technology coming out of Stanford University.
Here's more on OmniML's round and other seed funding news from this past week:
OmniML Inc., San Jose, $10 million: GGV Capital led the funding of this machine learning startup. Qualcomm Ventures and Foothill Ventures also invested.
SucceedSmart Inc., San Francisco, $6 million: Storm Ventures led the funding of this provider of an executive recruitment service.
Effectiv AI Inc., San Francisco, $4 million: Accel led the funding of this startup that is developing fraud and risk management software. REV also invested.
Glass Imaging Inc., Los Altos, $2.2 million: LDV Capital led the seed round for this developer of an artificial intelligence-powered smartphone camera module.
