Custom AI agents built around your needs

Automate your complex processes with reliable, scalable AI agents built for your business

As your data grows denser and your business processes more complex, your teams spend valuable time just looking for information. We design and deploy custom AI assistants that streamline your operations, speed up skill-building, and improve the customer experience, without ever replacing human relationships.

Our value proposition: AI you stay in control of

Solutions that answer real problems

A distinctive approach that combines 60% proven technology and 40% hands-on support.

People at the center

We build solutions together with your business teams, not just IT and data. Your people take an active part in the briefs and the testing, and they encode their own business rules into the AI orchestrator.

Independence & Security

Get complete flexibility in your choice of models (LLMs) and hosting providers. Security is built into every application from the ground up, with the option to run on your own sovereign GPU instances.

Cost control

We accelerate your projects with a single orchestration platform and off-the-shelf technology building blocks, which cuts development costs and gives you FinOps transparency through pass-through billing based on actual usage.

A three-phase deployment strategy

Our project methodology: from POC to production at scale

End-to-end support to make sure your users actually adopt it.

Phase 1

Design (Scoping)

Discovery workshops with your power users, definition of the technical foundation, and engineering of usable data.

Phase 2

Development (Build)

Building the agent, connecting your databases, and validating the technical strategy through large-scale automated evaluations (LLM-as-a-judge).

Phase 3

Refinement & Rollout (Run)

Real-world testing, iterative adjustments with your pilot users, and a secure, gradual rollout.

A robust architecture for reliable answers

How our solution safeguards the quality of answers

We combine precise information retrieval with output checks to prevent errors.

Understanding

The agent parses the question, resolves ambiguity using a business glossary, and blocks out-of-scope requests (guardrail).

Orchestration (Supervisor Agent)

It dynamically selects the best strategy for finding the information, with no infinite loops.

Hybrid Search

It queries your databases for exact figures (pricing, coverage tables) and your complex documents (legal texts) at the same time, using semantic search.

Synthesis and Control (Guardrail)

The AI produces a sourced, consistently formatted answer. A safety model checks for inconsistencies; when in doubt, the AI holds back and offers the user a next step instead.