LLM integration should be automatic

Your API already exists. We make it usable by LLMs without the manual work.

Every team building AI features hits the same wall. The API works. The LLM works. But connecting them reliably does not.

Tool schemas written by hand. Adapters that drift from the real API. Silent failures when a parameter changes. Debugging sessions where you cannot tell if the LLM, the schema, or the response format is at fault.

You planned a weekend integration. It turns into weeks of maintenance.

We built Automiel because we kept solving this problem from scratch. The OpenAPI spec is already there. It describes the API precisely. It should be enough.

The spec is the source of truth. Not the prompt, not the adapter.

What we believe

Your API should not change for LLMs

LLM integration is a layer on top of your existing API, not a reason to rebuild it. Automiel reads what you already have and generates the bridge.

Manual wiring does not scale

Hand-written tool schemas go stale. APIs evolve. Teams change. The integration layer should update automatically when the spec does.

Reliability over cleverness

LLMs are unpredictable. The tool layer should not be. Validation, error handling, and auth belong in the infrastructure, not in every prompt.

Built for backend teams

Automiel is designed for teams who own APIs:

Backend engineers adding LLM features
ML engineers integrating APIs into agents
Platform teams managing internal tooling
Technical leads reducing maintenance burden
Startup founders shipping AI products fast
CTOs standardizing LLM infrastructure

The team

We are engineers who have built and maintained APIs at scale. When AI features became the norm, we kept running into the same integration problem. We decided to solve it once.

Ready to make your API LLM-ready?

Provide your OpenAPI spec. We handle the rest.