We make massive AI run like a tiny helper.

Our patented method shrinks neural networks to a fraction of their memory footprint — quietly, efficiently, and with near-zero loss of intelligence.

A little workshop magic

Most compression methods chop up a neural network to force it into memory, and your benchmarks pay the price.

We prefer a little workshop magic. We restructure the network's parameters using matrix factorization behind the scenes, invisibly, without touching what the model knows. The result: AI that runs dramatically lighter, faster, and cheaper, with close to full intelligence and none of the hardware headache.

We are operating in quiet mode while we finish our validation runs. When we emerge from the lab, you'll know.

Interested?

Knock on the workshop door.

We're especially looking for infrastructure partners to co-validate at scale — but we're always happy to hear from anyone building with AI.

Get in touch →