OmniML

Founded in 2021, OmniML offers scalable deep learning models to bridge edge devices with AI applications and accelerate the deployment of edge AI (particularly computer vision). OmniML eliminates pain points found between AI applications and the high demand they place on hardware, which in turn eliminates the need for developers to manually optimize ML models for specific chips and devices.

The company works with customers in a number of industries including smart cameras and autonomous vehicles and claims that it enables machine learning tasks to run upto 10x faster on edge devices, with significant cost reductions.

As of March 2022, the company served a few large technology conglomerates including Amazon and Meta, which integrated OmniML’s neural architecture search algorithm with the AutoGluon open source AutoML library and the PyTorch open source deep learning framework respectively. 

In March 2022, the company raised USD 10 million in seed funding led by GGV Capital.