Building Private AI with PrivGPT
How PrivGPT combines self-hosted infrastructure, connectors, and observability to run AI in controlled environments.
PrivGPT is designed for self-hosted AI deployments where data ownership and infrastructure control are non-negotiable.
Connectors bring in content from enterprise systems, then ingestion applies chunking, embeddings, and role mappings. Retrieval stays role-scoped, so users only access what they are allowed to see.
Because PrivGPT exposes an OpenAI-compatible interface, teams can integrate quickly with tools like OpenWebUI while keeping governance controls intact.
The result is a private AI stack that is practical to run, easier to audit, and aligned with enterprise security expectations.