Dotris engineer working on an AI agent architecture

Extend what your teams can do with generative AI.

Your own data. Answers in seconds. Tasks that run themselves. We build custom agents and assistants that fit the infrastructure you already have.

Three ways to put AI to work.

Custom-built RAG

Query your internal documents in plain language and get precise, sourced answers.

Action agents

Hand off complex, multi-step tasks to AI agents trained on your processes.

Autonomous automation

Automate back-office work, from financial report summaries to support ticket triage.

Signs that an agent would earn its place in your business.

Four situations we see often, and what we build for each.

The engineering behind the intelligence.

Proven building blocks, assembled for your context.

Leading models, integrated

We integrate the leading models (OpenAI, Anthropic, Mistral, Llama), through a managed API or self-hosted on your own infrastructure.

Grounded RAG architecture

Advanced RAG pipelines with a vector store: answers grounded in your documents, sourced and checkable.

Tooling & APIs

Agent chaining and script execution (Python, APIs, Bash) to work with the systems you already run.

Questions about AI for your business?We have answers.

You keep them. We build agents that plug into your current tools through their APIs. Your infrastructure stays where it is, and the AI connects to it.

Your data is never used to train the models. Depending on how strict your requirements are, we use managed APIs with a contractual no-retention clause, or models self-hosted on your own infrastructure so nothing leaves your walls.

Summarizing reports, drafting and sending emails, triaging and qualifying tickets, running business workflows, moving data between systems.

A first conversation to frame what you need.

Thirty minutes with Pierre and Reda is enough to walk through your situation and leave with a clear read on what is at stake.

Let's talk about your needs