The thesis
Renting intelligence was never the only option.
The default path for AI today is to send your most sensitive data to a handful of cloud providers, pay by the token forever, and hope the terms do not change. For a regulated business, that is a strange trade: you take on the exposure, they keep the asset.
We started Stavryn around a simple conviction. Open-weight models have become good enough that most businesses do not need a frontier model at all, the marginal cost of running them on your own hardware is close to electricity, and the data never has to leave the room. Put those three facts together and the cloud stops looking inevitable. It starts looking optional.
So we do the unglamorous work that makes private AI real: sizing the hardware, assembling and hardening the open stack, fine-tuning on your documents, locking it down for your compliance posture, and keeping it running under contract. You get the upside of modern AI without the leak, the meter, or the lock-in.