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AI engineering

AI models built for your business

From modeling to production: real models, trained on your data, evaluated before they are used and integrated into your systems.

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The challenge

Generic tools know neither your data nor your rules

A generic model answers everything, but not your specific problem. It ignores your vocabulary, your documents and your constraints, and it cannot demonstrate its reliability on your cases.

  • AI trials stay at the demo stage and never reach production.
  • There is no way to measure whether results are reliable.
  • Off-the-shelf tools do not integrate with your systems.

What we build

Scoping and choice of approach

The business need is translated into a modeling problem: machine learning, forecasting, language model or a combination, as appropriate.

Tailor-made modeling

Feature engineering, training and tuning on your own data, with reference datasets.

Adapted language models

Specialization on your documents and vocabulary, search across your sources, answers backed by their references.

Multi-model systems

Orchestration of several models and business rules to handle complex cases end to end.

Evaluation and validation

Test sets, measurement of accuracy, robustness and bias, validation before any move to production.

Integration and deployment

Interfaces, APIs and infrastructure to connect the model to your systems and make it available to teams.

How we work

Scoping

Need, available data and measurable success criteria.

Modeling

Prototypes compared, approach chosen, training.

Evaluation

Tests on your real cases and quality thresholds to reach.

Deployment

Integration into your systems, handover and model documentation.

What you get

A tailor-made AI, evaluated before it is used.

  • A model whose performance is measured on your real cases
  • Integration into your existing tools
  • Complete technical documentation: data, method, limits
  • Operation compatible with your governance framework

Contact

Each area of expertise can be delivered on its own, or combined in a single engagement. Let's talk about yours.

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