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Machine learning & data science

Predictions you can act on.

Forecasting, recommendations, scoring and computer vision - from first experiment to a model running in production.

A model that learns, then predicts.

Signals flow through the network as it trains - accuracy climbs, loss falls, and predictions come out the other side.

Churn prediction model

Training

Epoch /50

Loss Accuracy
Accuracy
%
Precision
%
Latency
ms

Technologies we work with.

What we build.

  1. Forecasting.

    Demand, sales and capacity forecasts that improve planning.

  2. Scoring and risk.

    Credit, fraud and churn models with clear explanations.

  3. Recommendations.

    Personalised products and content that lift conversion.

  4. MLOps.

    Training, deployment and monitoring pipelines that keep models accurate.

Frequently asked questions

Do we have enough data?

Often more than you think. We start with a short feasibility study before any big investment.

What happens after the model is built?

We deploy it, monitor its accuracy and retrain it when the data changes.

Related expertise.

Need engineers with this expertise?

Tell us the roles and timing. You get a first shortlist within a week.

For example: 2 senior React developers and 1 QA, for 6+ months.