Models that see what's coming — demand, ETAs, churn, and risk — wired into your operations with monitoring and honest accuracy, not black boxes.
Book a discovery call
You plan with gut feel or static spreadsheets and get caught by surprises.
You sit on history (orders, jobs, tickets) but don't turn it into foresight.
Decisions — staffing, inventory, pricing, routing — need a reliable forecast.
You want models in production with monitoring, not a one-off notebook.
Problem framing & metric definition
Feature pipelines & feature store
Trained models + backtest report
Forecast API / dashboards
Monitoring & retraining automation
Runbook & handover
1 week: decision, target metric, data check.
2–3 weeks: features, models, honest evaluation.
2 weeks: API/dashboards into your workflow.
Ongoing: drift alerts, scheduled retraining.
We set an honest baseline and report backtested accuracy before launch — no black-box promises.
Often yes. We audit first and start with what reliably predicts, flagging gaps as we go.
Yes — we surface the drivers behind predictions, not just a number.
We monitor drift and retrain on a schedule so models don't silently decay.
You do — features, models, and data.
Book a discovery call and we'll pick one forecast that would change a decision.
