An enterprise AI agent connected to your data
A business agent built on your own data, with vector memory and strict isolation — instead of a generic chatbot that hallucinates.
In brief
An enterprise AI agent is an autonomous assistant tied to your own data through a hybrid RAG and a business MCP server. We already run this architecture in production: a hybrid RAG with 51,912 indexed fragments and 1 orchestrator driving 14 agents.
The problem with generic chatbots
No-code chatbots don't know your business, they hallucinate, and they offer neither persistent memory nor data isolation across projects. You get a demo, not a reliable production tool working on your own information.
What we deliver
- A custom MCP server that exposes your business logic to the agent.
- Persistent vector memory with hybrid dense and sparse RAG (RRF fusion, French-language search).
- One autonomous agent per project, with strict data isolation.
- Asynchronous execution: queue, retry, idempotency and human approval.
- Telegram, n8n and webhook integrations to wire the agent to your channels.
Our evidence
- Hybrid RAG delivered with 8 of 8 tests passing, 51,912 indexed fragments.
- Automatic failover across 4 LLM providers (OpenAI, Anthropic, Gemini, Mistral).
- 1 orchestrator and 14 specialised agents, with per-project data isolation.
Frequently asked questions
- How does an AI agent differ from a chatbot?
- An AI agent is connected to your data through a RAG and a business MCP server, with persistent memory and autonomous execution. A generic chatbot answers out of context and cannot access your information.
- How do you guarantee data isolation?
- Each agent is partitioned per project: one project's data is never accessible to another. We already run this strict partitioning on our own production agents.
- Which integrations are available?
- Telegram, n8n and webhooks are available out of the box. The custom MCP server lets you expose your specific business logic to the agent.
An AI agent use case to scope?
Let's map your business need and the data to connect. We identify what can ship to production.