Forecasts and predictions from your own data

We build predictive models as custom projects — demand forecasts, churn scores, risk scoring, and anomaly alerts — trained on your data and delivered into your tools or over an API.

What we build from your data

Scoped around the decision you want to predict and the data you have to support it.

Forecasting

Sales, demand, and revenue projections built from your historical data.

Classification and scoring

Customers segmented, leads scored, sentiment tagged — whatever decision your data can support.

Anomaly detection

Unusual patterns flagged early: fraud signals, equipment drift, sudden metric changes.

Image recognition

Models that classify images for quality control or visual search, built for your specific case.

Delivered over API

Predictions integrated into your apps and dashboards, or served through a simple API.

Retraining built in

We monitor each model and retrain it as your data changes, so predictions stay useful over time.

Work this takes off your plate

  • Sales and revenue forecasting
  • Customer churn prediction
  • Demand planning and inventory
  • Credit and risk scoring
  • Quality inspection from images
  • Predictive maintenance alerts

How an engagement works

Custom builds are projects, not subscriptions. You know the scope, the price, and the timeline before any work starts.

1

Scoping

We look at the decision you want to predict and the data you have to support it.

2

Proposal and pricing

You get a clear scope and price before any work starts.

3

Build and validate

We prepare your data, train candidate models, and validate them against held-out history before anything goes live.

4

Deploy and retrain

The model runs in your stack or behind an API. We monitor it and retrain when your data shifts.

Bring us a prediction problem

Send us a message and tell us what you wish you knew ahead of time. We'll tell you honestly whether your data can support it.