See demand, churn and risk before they happen
We build forecasting and machine learning models on your data and put the predictions where decisions are made: in your dashboards, CRM and planning tools.
When predictions pay for themselves
You find out too late
Customers leave, stock runs out or machines fail before anyone sees it coming
Forecasts nobody trusts
Planning still runs on last year's numbers plus a guess
Effort spread evenly
Sales and marketing treat every customer the same, regardless of potential
Predictions your teams can act on
A model is only useful if it reaches the person making the decision, so delivery into your tools is part of the work.
| Model | Accuracy | Used in | Refresh |
|---|---|---|---|
| Demand forecast | 87% | Planning tool | Weekly |
| Churn risk | 0.82 AUC | CRM | Daily |
| Lead scoring | +24% conv. | CRM | Daily |
- Use-case framingThe decision the prediction supports, and how we'll measure it
- Data auditWhether the data can support a reliable model, before any build
- ModelsForecasting, churn, segmentation, lifetime value and anomaly detection
- Delivery into toolsScores and forecasts inside dashboards, CRM or planning systems
- Monitoring and retrainingAccuracy tracked over time, with a plan for retraining
From question to prediction in production
Frame
Agree the decision and the success measure
Audit
Check the data can support it
Model
Baseline first, then improve
Validate
Back-test against real outcomes
Deploy
Into your tools, with monitoring
We build on the stack you already run
- Python
- scikit-learn
- PyTorch
- Databricks
- MLflow
- Snowflake
- BigQuery
- Dataiku
- Power BI
Explore the rest of our AI work
See it in practice
From missed forecasts to plans the business trusts
Forecasting rebuilt across three countries, lifting forecast accuracy from 61% to 87%
What buyers ask before starting
How much data do we need?
The data audit tells you before you build.
Can we start with a prototype?
Yes, a baseline on historical data.
What happens when the model drifts?
We monitor accuracy and retrain.