Services
Six domains covered end to end, four ways to contract, four commitments. The mode is chosen for your situation, not from our catalogue.
What we do
Six domains covered end to end, from scoping to running in production.
Business assistants and tool-using agents, connected to your data, with guardrails and traceable answers. We deliver the document indexing, the RAG layer and the evaluation sets that actually measure quality. In insurance, they work up underwriting files and triage claims.
Quality control, detection and document reading across your image and video streams, on the production line. We train models on your annotated images, then deploy them at the edge on GPU or smart camera. In manufacturing, that flags a weld defect before the part ships.
Demand forecasting, predictive maintenance and schedule optimisation, grounded in your historical data. We benchmark time series against gradient boosting, then surface the result inside the tools your teams already use. In retail, per-store per-SKU forecasts drive replenishment.
Pipelines, data quality and governance: the foundation without which no model survives in production. We put in place ingestion, cataloguing, quality tests and access traceability. In healthcare, that means pseudonymisation and certified health-data hosting from the design stage.
Deployment, monitoring, retraining and model versioning inside your information system. We set up the model registry, the CI/CD pipelines, drift detection and inference cost tracking. In logistics, a route optimisation model retrains weekly with no service interruption.
Upskilling technical and business teams, from framing a use case to running it day to day. We train on your own datasets, with hands-on workshops and a use-case qualification grid. In the public sector, that frames how staff use assistants and the AI Act obligations that follow.
Engagement models
The model follows your situation, not our catalogue. If none of them fits, say so — we would rather say so too.
When to choose it
Defined scope, firm deadline
We commit to a deliverable, a price and a date. The success criterion goes into the contract before the first line of code, and it is what triggers acceptance. The default mode for a scoping study, a prototype or an industrialisation whose scope holds.
When to choose it
An existing team to reinforce
One or more of our engineers join your team, inside your rituals and your toolchain. You own the backlog, we bring the missing skill: data engineering, MLOps, computer vision, language models. Senior profiles only — we do not put juniors on critical systems.
When to choose it
Models already in production
A dedicated team keeps your models running over time: monitoring, drift detection, retraining, incident handling. A written service commitment, indicators reviewed every month. This is what stops a delivered model from becoming an abandoned one.
When to choose it
Nothing scoped yet
One day on your site to map your processes and leave with three scored and costed use cases. No obligation to continue. The way in when the question is still where to start.
ROI
Use cases ranked by ROI, never by hype
Criticality
AI deployed in critical, regulated environments
Sovereignty
European hosting, GDPR and AI Act compliance
Handover
Skills transfer to your teams included
