Short answer
A decision-grade digital twin is a live 3D model of an asset or process with condition heatmaps from sensor, inspection and maintenance data, markers for each finding, and a fast-forward control that simulates the cost of waiting — so teams can compare options and approve the best one directly from the twin.
Decisions it handles
| Decision | Signal | Context it needs | Authority | Outcome measured |
|---|---|---|---|---|
| Maintenance timing | Heat rising on a component | Remaining life, windows, spares | Augmented | Downtime avoided |
| Inspection planning | Findings clustering on a zone | Inspection history, access, crew | Augmented | Findings closed |
| Operating envelope | Asset near a limit | Design limits, production target | On-the-loop | Safe throughput |
| Capital planning | Multiple assets degrading | Budgets, risk, criticality | Human | Risk per dollar |
How it works
- Bring your 3D modelCAD, BIM, glTF or scanned geometry.
- Map data to geometrySensors, inspections and work orders pinned to components.
- Heatmap the conditionSeverity blended across the model.
- Fast-forwardSimulate 30, 60 or 90 days of degradation and cost.
- Decide in placeApprove the recommended option from the twin.
Where it fits
IoTSensor and machine data into decisions — at the edge and in the cloud.Explore →ManufacturingPlant decisions on a live twin.Explore →Food & beverageBottling-line twin.Explore →
Key takeaways
- Built on the same decision layer as every other solution.
- Humans keep authority; autonomy is earned.
- Every outcome improves the next decision.
Frequently asked questions
What is a digital twin heatmap?
A color overlay on a 3D model showing condition or risk by location, generated from sensor, inspection and maintenance data.
What 3D formats can be used?
Most CAD and 3D formats can be converted to web-friendly glTF, the format used by the live twins on this site.