Machine Learning
Some problems need prediction, not conversation.
We build models around the decisions and data specific to your business. A model is only worth building if it changes a decision. So we design the decision, the controls around it and the measure of success, not just the model.
Selected work / Financial services
From a generic score to a decision built for the business.
01
The problem
A Western European invoice-financing company was constraining growth with a generic external credit score and static eligibility rules.
02
The signal
The company’s own operational data, refreshed daily, in place of external data updated once a year.
03
The model
A machine-learning model trained specifically on the company’s historical data, replacing the generic score.
04
The decision
Seller, debtor and invoice eligibility rules recalibrated around what the model could now see.
05
The operating controls
A strengthened risk framework and dedicated monitoring to verify that increased eligibility did not increase the underlying risk profile.
06
The commercial outcome
- Eligible opportunities
- +20%
- Revenue, year one
- €15m
- Monitored risk level
- Unchanged
What carries over
The model is rarely the hard part.
The pattern repeats across problems: the value comes from choosing the right signal, designing the decision the model feeds and putting controls around it that the business can trust. That is the work we do, whether the model classifies, forecasts, predicts risk or optimises.
Classification · Forecasting · Risk prediction · Optimisation · Decision intelligence
Our own product
Be-Healthy.AI
Decision intelligence for professional football: machine learning we research, build and operate ourselves.