Head of Product, OmniML

OmniML is looking to change this, with an award-winning platform that allows users to build, optimize, and deploy ML models on network edge hardware by compressing existing, but overly sized, AI models. By facilitating the creation of lightweight ML/AI, it should bring the autonomy, intelligence, and usefulness of larger computers to everyday devices without developers needing to manually adjust every AI model.

Whilst the company left stealth mode only recently, its platform is already in use in areas like video surveillance. As AI models develop and are more broadly adopted, the potential scope for OmniML’s platform is huge, encompassing most industries - but especially high-growth and lucrative ones like wearable tech and autonomous vehicles. AWS’ AutoML library and the PyTorch deep learning framework at Meta Platform are already incorporating facets of its tech, too, so whilst young, OmniML is causing a substantial stir.