LLMs for everyone.
On infrastructure you own.
BAIRAVS builds open, self-hosted AI infrastructure. Run models, tools and agents on your own laptop or cluster, with data protection built in, without handing your data to anyone or building a platform team first.
Open source · Apache-2.0 · Runs on Docker or any Kubernetes
What we make
Orch Engine
Run open-source LLMs, MCP tool servers and your own agents as one governed graph. A DLP proxy checks every prompt and every answer, and teams share models only when the owner approves.
See it work free in your browserCloud Toolkit
Practical tools for cloud and DevOps work: a visual architecture builder, IaC generation, instance pricing comparison, a subnet calculator and everyday utilities. No signup.
Open the toolkitFrom one model to a governed AI graph
Deploy a model
One command pulls an open model and serves it with an OpenAI-compatible API, on Docker or Kubernetes.
Wire tools and agents
Add MCP servers as Skills and bring your own agent code. Orch Engine connects them and waits until everything is ready.
Govern every call
Attach a DLP policy and sensitive data is redacted or blocked in both directions. Cross-team access needs the owner's grant.
Your models and your data stay with you
Self-hosted
Everything runs where you run it. Prompts and answers stay on your machines.
Governed by default
DLP on prompts and answers, including streams. Access across teams only with a grant.
Open
Apache-2.0 and plain Kubernetes resources, so kubectl, GitOps and your RBAC just work.
Laptop to cluster
Start on Docker; add --target k8s when you're ready. Same CLI, same agent code.
See a governed AI graph come together
The live demo is the real Orch Engine dashboard playing a recorded session: a model deployed, an agent waiting for access, a grant, and DLP catching an Aadhaar number and a leaked AWS key.