Services

Three disciplines. One consultancy.

Predictive modeling, process optimization, and anomaly detection — applied to the data you already collect, not a platform you have to adopt.

§1 — Predictive Modeling

See the trend before it becomes a headline.

We build forecasting models on top of your own historical data — production volumes, equipment wear, demand cycles — rather than fitting your business into a generic template. The goal is a model your team can actually act on: clear inputs, an honest confidence range, and a recommendation you can defend in a planning meeting.

  • →Demand and throughput forecasting
  • →Equipment failure and maintenance windows
  • →Scenario testing before a process change ships
§2 — Process Optimization

Find the bottleneck hiding in plain sight.

We analyze your line, cell, or process data to find where time, yield, or material is actually being lost — not where the org chart assumes it is. The output is a ranked list of constraints, backed by the same data your team already reports on, so the next investment goes where it will actually move the number.

  • →Line and cell throughput analysis
  • →Root-cause analysis for yield and scrap
  • →Simulation before a capital investment
§3 — Anomaly Detection

Catch the deviation before it becomes a defect.

We build monitoring models that learn what normal looks like for your process, then flag the moment something drifts — a sensor reading, a cycle time, a quality measure — early enough for someone to act, not just explain it in the post-mortem.

  • →Real-time outlier flagging on production data
  • →Early-warning models for equipment drift
  • →Root-cause tracing from anomaly back to source
Process

How an engagement runs.

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01

Listen & scope

We start on your floor, not in a workshop. A short discovery phase maps the data you have, the decision it needs to support, and what success looks like before any modeling begins.

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02

Build & validate

Models are built and tested against your own historical data, with the assumptions and confidence ranges laid out plainly — no black box, no decision you can't explain upward.

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03

Hand off & support

You get a model your team can run, a clear explanation of how it works, and ongoing support as your process — and your data — keeps changing.

Have a process you'd like a second look at?

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