Forecasts that hold up.
Demand, revenue, churn, fraud, risk — quantified with the rigor your finance team will defend in a board meeting.
Models with defensible numbers.
Every forecast we ship has documented assumptions, validated accuracy, monitored drift and a clear path to incremental improvement. Finance signs off, not just data science.
Six capabilities. One operating system.
Demand & Revenue Forecasting
Hierarchical, multivariate, exogenous-aware forecasting with prediction intervals.
Propensity Modeling
Conversion, expansion, response and reactivation propensity grounded in first-party data.
Churn & Risk
Customer, contract and policy churn models with reason codes and intervention recommendations.
Fraud Detection
Real-time anomaly and fraud detection at sub-100ms latency.
Optimization
Pricing, inventory, routing, scheduling optimization layered over predictions.
Causal Inference
A/B and quasi-experimental designs to isolate lift from correlation.
From kickoff to compounding outcomes.
Frame
Business question, decision, success metric, holdout design.
Build
Feature engineering, model development, validation against holdout.
Deploy
Production serving with monitoring and drift detection.
Integrate
Embed predictions into operational systems and decisions.
Iterate
Quarterly model refresh, retraining cadence, value tracking.
Where this earns its keep.
Revenue forecasting
Bottom-up, hierarchical forecasts with prediction intervals — your CFO will trust.
Customer churn
Per-account churn risk with reason codes and recommended interventions.
Inventory & demand planning
SKU-level demand forecasts feeding directly into S&OP processes.
Fraud and risk scoring
Real-time risk scoring with explainability for regulatory review.
Frequently asked
Scope a predictive use case.
A 45-minute session to frame the decision, the data and the value — and project ROI before we begin.