ZETIC.ai

Say you have an image recognition or face recognition model and want it running inside a phone app instead of on a rented GPU server.

ZETIC.ai is built for that job.

Its product, ZETIC.

MLange, is an on-device AI tool for developers that runs AI models directly on mobile hardware using NPUs, the neural processing units built into many phone chips.

MLange works with NPUs from various SoCs and supports Android, iOS and Windows, so one model does not have to be rebuilt by hand for every device family.

The selling point is serverless AI: inference happens on the user's device, which cuts the server and GPU cloud bills that usually come with shipping an AI feature.

It also removes the round trip to a remote server, which can help response times.

The pricing model is free.

That makes it easy to try on a prototype before you commit.

It works for mobile developers and AI teams who already have models and want them deployed on hardware their users own, rather than people looking for a ready-made consumer app.