Forecasts your team will actually act on.
Demand, churn, fraud, lead scoring: predictions tied to outcomes, with the audit trail decision-makers need.
- First forecast in production
- 0-10wk
- Lift over heuristics
- 0-30%
- Pipeline reliability
- >0%
- Audit-ready outputs
- 0%
Predictions wired into the decisions they inform.
Forecasts that show up where decisions get made, with confidence intervals, drift monitoring, and an audit trail. Not another dashboard nobody opens.
- Time-series forecasting, churn, fraud, and propensity modeling
- Confidence intervals and explanation surfaces
- Outputs delivered to the systems that act on them
From discovery to production.
- 01
Discover
Find the decisions where prediction would change the action. Skip the rest.
- 02
Prototype with evals
Build a backtested eval suite. The model passes when it would have changed historical decisions for the better.
- 03
Deploy
Predictions delivered into the systems that act on them: CRM, billing, ops dashboards, downstream agents.
- 04
Operate
Continuous backtesting on new data, drift detection, and automated retraining where the data supports it.
Sitting on data but still operating on gut feel?
Book a 30-min consultWhat you get.
Forecasts your auditor will sign off on.
Lineage, versioning, and confidence intervals are first-class. Operators can see why a prediction was made, override when they need to, and audit trail everything.
- Confidence intervals and feature attribution per prediction
- Override paths and full audit trail
- Backtesting and drift detection on a continuous schedule
Common questions.
Decisions on numbers, not vibes.
Free 30-minute consultation. Pick a decision; we'll outline the prediction.
Schedule consultation