For AI & Platform Teams

Build on knowledge your AI can trust.

You run RAG pipelines, chatbots, and agents. Rasepi decides which sources they can use, with a single call after retrieval. No proxy, no reworking of your stack.

Integrates seamlessly, rather than taking over

Rasepi sits alongside your stack, not within it. You send candidate sources, you get decisions back.

🔐Trust API: evaluate and filter sources, simple HTTP. Machine authentication via API key or client credentials.
🤖MCP ServerTrust-aware responses directly in Claude, Copilot, and any MCP client.
🔄Any pipeline: LangChain, LlamaIndex, your own RAG stack. One call after retrieval.
🔒No proxy: Rasepi does not read prompts and does not sit between you and your model.
📊Up to 100 sourcesPer call, with reasoning and constraints per source.
📋Ledger for DebuggingEvery decision is traceable, even for postmortems.

Quick to get started

First Trust check, secure RAG, retrieve audit. The developer documentation walks you through it in ten minutes.

Getting Started Trust API Reference

Trust as a layer, not a overhaul.

We’ll walk you through your architecture in a short demo.

Request a demo