§ Capability 04

Industrial & operational AI

Decision-support that fits the workflow it's meant to improve.

Industrial AI fails less often on the model and more often on the fit: a predictive-maintenance system that ignores how the maintenance team actually schedules work, or a safety analytic that fires so many false alarms it gets muted within a week. We build operational systems that are designed around the workflow, the constraints, and the people who will use them.

That covers predictive maintenance, workplace-safety analytics, and operational decision-support — always with an eye to integration with existing industrial systems and to producing outputs that change a decision rather than just populating a dashboard.

Predictive modellingDecision-supportAnomaly detectionIntegrationOperations
01
Predictive maintenance
Failure-anticipation models built around real maintenance schedules and the cost asymmetry between false alarms and missed failures.
02
Workplace-safety analytics
Detection and monitoring tuned for a signal-to-noise ratio operators will actually keep switched on.
03
Operational decision-support
Systems that surface the specific decision to make, integrated into existing operational tooling rather than bolted alongside it.
04
Workflow-first integration
Deployment designed to fit existing industrial systems, data sources, and human processes from the outset.
§ In practice

Operational AI built to integrate with — not replace — the systems and teams already in place.