Reliable data first. Serious AI second.
Before talking about artificial intelligence, we make sure your numbers add up. Then we apply AI where there's a measurable return — and tell you where there isn't.
Assess your data potentialThe uncomfortable truth
Most AI projects fail because the data underneath is wrong, scattered or off-limits. Fixing that doesn't make headlines — but it's the difference between a demo and a result.
What we do
Data foundations
Warehousing, pipelines and quality: a single version of the truth, automatically fed and auditable.
Dashboards and reporting
Management indicators that are current and consistent, designed with the people who decide — not reports for show.
Predictive models
Demand, churn, credit risk, preventive maintenance — models wired to concrete decisions, with the return measured.
Applied AI and LLM integration
We integrate language models into your processes — document triage, customer support, internal search — with clear rules on what the AI can see and decide.
Governance and compliance
Personal data handled under the GDPR, EU-hosted models where required, and documentation ready for your next audit — including the AI Act.
How we pick use cases
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Potential assessment.
We analyse the data you have, the data you lack, and the business questions you want answered.
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Scored on three criteria.
Every use case is scored on estimated annual value, implementation effort and risk. We only recommend the ones that pass all three.
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Incremental delivery.
From a measured pilot to a production system — with success criteria defined before the first line of code.
Privacy by design
Data minimisation, anonymisation where possible, and clear boundaries between what the model sees and what it never should. Enthusiasm for AI is no excuse for breaking the GDPR.
No hype
If the right answer is a simple dashboard instead of a model, that's what we propose. We charge for solving the problem, not for using the word AI.
Frequently asked questions
Can our data end up training public models?
No. We use models in enterprise mode or hosted in the EU, under contracts that forbid training on your data — and we document that configuration for your audit.
How long until we see value?
The first use case in production usually takes 8 to 12 weeks, including tidying the data it depends on. Purely analytical cases can be faster.