Twin Runtime
Bring geometry, telemetry, asset structure, and workflow logic into one operational 3D environment.
← Products
Core Platform
FactVerse Twin Engine
3D Twin Execution Engine for Complex Operations
The 3D twin execution engine inside the FactVerse platform. FactVerse Twin Engine connects operational data, spatial context, and simulation logic so teams can visualize systems, validate decisions, and run executable digital twin workflows across complex facilities.
Scene runtime
Turns 3D assets into a live operational twin.
Data context
Maps telemetry and enterprise signals into space.
Execution layer
Supports validation, workflows, and applications.
Best Fit
Built for facilities that need visualization, validation, simulation, and guided execution on the same twin foundation.
Platform Modules
The execution layer inside the FactVerse platform
Twin Engine provides the 3D runtime that makes industrial digital twins usable in daily operations, validation, and application delivery.
Scene and Asset Modeling
- Build operationally meaningful 3D environments from CAD, BIM, point cloud, and enterprise asset structures.
- Twin Engine provides the runtime layer that turns static models into usable digital twin scenes.
Real-Time Data Binding
- Bind telemetry, device state, reports, schedules, and process variables into the 3D environment so operators can see what is happening and where it matters in context.
Spatial Validation Layer
- Validate recommendations, workflows, and AI-generated plans against physical layout, equipment relationships, operating zones, and process constraints before execution.
Simulation-Ready Runtime
- Connect simulations, optimization engines, and scenario logic to the twin environment so the model becomes a live operational system instead of a passive visualization.
Workflow
How Twin Engine turns models into operational context
Step 01
Model scenes and assets
Bring geometry, assets, zones, and equipment relationships into one persistent twin environment.
Step 02
Bind real-time context
Map live data, reports, schedules, and device state into the scene so the twin reflects actual operations.
Step 03
Run and validate workflows
Use the twin as the execution layer for simulation, AI validation, maintenance, and frontline workflows.
Platform Narrative
Platform Role
FactVerse Twin Engine is the 3D runtime layer inside the broader FactVerse platform. It connects geometry, asset models, telemetry, scene logic, and application workflows so teams can work inside a digital twin that reflects the real operating environment.
Platform Narrative
From Models to Executable Twins
Many organizations already have 3D assets, BIM files, CAD models, and operational data, but these resources often remain disconnected. Twin Engine turns them into a usable execution environment where scenes are not only visible, but also queryable, bindable, and operationally meaningful.
Platform Narrative
Physical Context for Better Decisions
Dashboards and reports can explain what changed, but they rarely explain how a decision interacts with space, equipment dependencies, restricted zones, or workflow sequencing. Twin Engine provides the physical context layer needed to validate operational decisions before they are deployed.
Platform Narrative
A Shared Runtime for Applications
Twin Engine is not limited to visualization. It supports inspection workflows, maintenance guidance, training experiences, scenario playback, AI-assisted reasoning, and other applications that require a persistent spatial model of the operating system.
Platform Fit
How Twin Engine works with DFS, Designer, and AI Agent
Stack Relationship
Working with the FactVerse Stack
Twin Engine works with DFS for data connectivity, Designer for authoring, and AI Agent for analysis and decision support. Together they create a closed loop from data ingestion to reasoning, scene validation, and operational execution.
Use Cases
Where Twin Engine creates the most value
Plant and Facility Visualization
Create an operational twin of factories, energy systems, semiconductor facilities, and large sites so teams can inspect asset state in 3D rather than jumping across isolated dashboards.
Decision Validation for AI and Simulation
Use Twin Engine as the physical verification layer for simulations, scheduling changes, maintenance plans, and AI recommendations before they are released into operations.
Frontline Workflow Execution
Support training, inspections, maintenance tasks, and remote assistance with a shared twin environment that maps operational logic back to real equipment and work locations.
FAQ
Common questions about the Twin Engine layer
What is FactVerse Twin Engine?
FactVerse Twin Engine is the runtime and execution layer of the FactVerse platform. It turns 3D scenes, asset context, and live data bindings into an operational digital twin that can support visualization, validation, simulation, and workflow execution.
How is Twin Engine different from a 3D viewer?
A viewer shows geometry. Twin Engine supports data bindings, asset relationships, operating logic, scenario execution, and validation workflows so the twin can function as part of a real operational system.
How does Twin Engine work with FactVerse AI Agent?
AI Agent can analyze questions and generate recommendations, while Twin Engine provides the physical environment where those recommendations can be checked against layout, assets, and process constraints.
What kinds of teams use Twin Engine?
Operations, maintenance, engineering, training, digital transformation, and AI teams use Twin Engine when they need a shared spatial layer to visualize systems and validate actions before execution.
Next Step
Build digital twin applications on a runtime that understands the real world
FactVerse Twin Engine gives teams a spatial execution layer for visualization, validation, and workflow delivery across complex industrial environments.
Related Solutions
See how this product powers real-world use cases.