Zylon serves organisations that cannot send data to a third-party model provider. Rather than promising privacy through contractual terms, it moves the infrastructure itself inside the customer's boundary, running on-premise, in an air-gapped network, or within a private cloud VPC. Data control is therefore architectural rather than policy-based.
The platform is a complete stack rather than a model endpoint: deployment, governance, access control and the applications that sit on top. That matters because regulated organisations need audit trails and permission models as much as they need inference, and assembling those separately around a self-hosted model is a substantial engineering effort.
It comes from the team behind PrivateGPT, one of the more widely adopted open-source private AI projects, which gives it credibility with exactly the audience it targets. Expect a procurement and deployment process rather than a signup.
