In one figure
Models on your data, kept honest in production.
CH.01 · The services
Machine Learning
Privacy by design, GDPR fluency, and a number to measure against.
- 01Federated Learningtraining across sites without moving the data.
- 02Privacy-Preserving MLmodels that never see the raw record.
- 03Decentralized Data TrainingTrain across plants, branches or countries without building the central data lake first.
- 04Secure Model AggregationCombine model updates from every participant without anyone, the coordinator included, seeing one.
- 05Data Protectionwhat leaves, what stays, and the record of both.
- 06Improved Model AccuracyA model that learned from every site, measured per site against the one trained alone.
- 07Churn Predictionwho is about to leave, and the next action for each.
- 08Forecastingdemand, cash, capacity: the number before it happens.
Companies we have worked with
CH.02 · Packages
Four stages, each with a price. Three of them end.
- 01 / 04
AI Discovery
- Two weeks
- fixed fee
The problem in one sentence, your data seen, one prioritised backlog and a go or no-go.
Learn more - 02 / 04
AI Pilot
- Weeks
- fixed scope
A working agent or skin on your data, with the failure cases written before anyone trusts it.
Learn more - 03 / 04
AI Rollout
- Staged
- one agreement
Production on your systems, under your permissions, with our team after.
Learn more - 04 / 04
AI Operations
- Monthly
- rolling
We keep the system running once it is live: monitoring, the fixes, an agreed scope of change each month, and a one-page report.
Learn more
Start
Bring us the problem nobody has cracked yet.
We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.