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.
Scoped around the decision you want to predict and the data you have to support it.
Sales, demand, and revenue projections built from your historical data.
Customers segmented, leads scored, sentiment tagged — whatever decision your data can support.
Unusual patterns flagged early: fraud signals, equipment drift, sudden metric changes.
Models that classify images for quality control or visual search, built for your specific case.
Predictions integrated into your apps and dashboards, or served through a simple API.
We monitor each model and retrain it as your data changes, so predictions stay useful over time.
Custom builds are projects, not subscriptions. You know the scope, the price, and the timeline before any work starts.
We look at the decision you want to predict and the data you have to support it.
You get a clear scope and price before any work starts.
We prepare your data, train candidate models, and validate them against held-out history before anything goes live.
The model runs in your stack or behind an API. We monitor it and retrain when your data shifts.
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.