We build cutting-edge forecasting and decision models.
Custom ML Build
- Challenge: You know the decision you want to automate, but nobody has proven it works on your data.
- Scope: Problem framing, feasibility test on your actual data, proof of concept, then a build path with acceptance criteria agreed before work starts.
- Deliverable: Working pipeline, handover documentation, retraining runbook.
Typical duration: Proof of concept in 4 weeks. Build scoped after results.
Model Validation and Independent Review
- Challenge: A model is in production, and nobody outside the team that built it has checked it.
- Scope: Independent replication, assumption testing, backtest integrity, findings documented against your model risk policy.
- Deliverable: Validation report with reproducible code and explicit limits.
Typical duration: 3 to 5 weeks.
Forecasting and Demand Intelligence
- Challenge: Planning runs on spreadsheets and judgment, so stock, staffing, or capacity gets set by the last bad month.
- Scope: Demand state detection, item-level forecasting, reorder and allocation logic, ranked action lists per location.
- Deliverable: Production pipeline plus a reporting layer your planners already use.
Typical duration: 6 to 10 weeks.
How we work
- Fixed scope. Every engagement has a defined deliverable and an end date. No open-ended retainers.
- White-box methods. Deterministic, traceable to inputs, documented well enough that your auditors can follow it.
- Your environment. Models run where your data already lives, including air-gapped deployments.