AI & Machine Learning

Predict problems on the line before they happen.

We build machine learning models that learn from your own batch records, machine logs and quality results, then warn the right person while there is still time to act.

Talk to an expert See it in DMIS

Capabilities

What's included.

Predictive quality

Every planned batch gets an off-spec risk score before it runs, with the one process change that lowers the risk most.

Anomaly detection

Statistical process control rules and ML anomaly models flag drifting temperatures, pressures and speeds in real time.

Downtime prediction

Spot the patterns that come before a stoppage so maintenance can plan, not react.

Self-improving models

Models retrain automatically as new batches are recorded, so accuracy improves the longer you run them.

Root-cause ranking

Explainable models show which variables drive scrap, ranked by impact, so engineers fix causes instead of symptoms.

Prescriptive advice

Recommendations are expressed as clear actions with an RM value, not as charts that need interpreting.

Results

What it delivers.

Figures from DMIS, our pilot programme targets and delivered client projects.

Typical use cases

Discrete and assembly lines: first-pass yield and defect prediction
Process plants: process-window optimisation and batch consistency
Food and chemicals: batch consistency and yield forecasting
Any line with recurring, unexplained scrap

0.73AUC predicting off-spec on unseen batches (simulated pilot factory)

34%of off-spec caught in the top 20% riskiest batches

97→39%batch risk after one recommended change

FAQ

Common questions

How much data do we need to start?

A few months of batch records is usually enough to build a first model. DMIS also includes a physics-informed simulator that gives useful results from day one while your own data builds up.

Do we need to install sensors?

No. We start with the data you already record in logbooks, Excel or your existing systems. Sensors can be connected later through the Data Hub API if you want real-time feeds.

Who owns the models and data?

Your production data stays yours. Models trained on your data are used only for your plant.

Pilot programme

Put your real plant data through DMIS.

We're onboarding Malaysian manufacturers for three-month pilots. Bring your batch records and we'll show you where the ringgit is going.

+10%OEE target

−10%Changeover waste

−15%Quality deviation

Apply for a pilot Request a demo