Custom-built RAG
Query your internal documents in plain language and get precise, sourced answers.

Your own data. Answers in seconds. Tasks that run themselves. We build custom agents and assistants that fit the infrastructure you already have.
Query your internal documents in plain language and get precise, sourced answers.
Hand off complex, multi-step tasks to AI agents trained on your processes.
Automate back-office work, from financial report summaries to support ticket triage.
Four situations we see often, and what we build for each.
The same piece of information gets looked up several times a week, across scattered documents.
A RAG assistant that answers in plain language, with the source cited.
An identical task comes up every day and always follows the same rules.
An agent that runs it end to end, without supervision.
Tickets, emails and forms come in faster than the team can work through them.
Automatic triage that qualifies, prioritizes and routes each request to the right team.
Reports are written by hand from data that already exists.
A summary generated automatically from your sources.
Proven building blocks, assembled for your context.
We integrate the leading models (OpenAI, Anthropic, Mistral, Llama), through a managed API or self-hosted on your own infrastructure.
Advanced RAG pipelines with a vector store: answers grounded in your documents, sourced and checkable.
Agent chaining and script execution (Python, APIs, Bash) to work with the systems you already run.
Thirty minutes with Pierre and Reda is enough to walk through your situation and leave with a clear read on what is at stake.