Entity definition
What is TwinEdge?
TwinEdge is a physics-grounded industrial operating layer for asset-intensive organizations. It connects OT and enterprise data, builds explainable twins, runs governed AI agents, and turns approved findings into maintenance and field work — without claiming ungoverned autonomous plant control.
TwinEdge Platform
Cloud and hybrid coordination for DataOps, twins, agents, AssetOps, Field, compliance, and multi-site operations.
Open →TwinEdge OS
Local edge runtime for industrial protocols, offline buffering, dashboards, alerts, and supported on-site inference.
Open →TwinEdge Field
Mobile work, offline execution, diagnostic evidence, and closeout synced to AssetOps.
Open →Core products
- AssetOps — CMMS/EAM connected to live condition and field evidence.
- Agentic Analytics — governed industrial AI agents with approval and replay.
- DataOps Workbench — industrial DataOps, unified namespace, REST/MCP products.
- Digital twins — physics-based operational twins for utilities and industrial assets.
Primary search intents
CMMS / asset management software
Canonical: /products/assetops-eam
predictive maintenance software
Canonical: /solutions/predictive-maintenance
industrial AI agents
Canonical: /products/agentic-analytics
industrial DataOps / unified namespace
Canonical: /products/dataops-workbench
industrial edge OS
Canonical: /products/twinedge-os
water / wastewater digital twin
Canonical: /products/digital-twin-water-wastewater
mobile field maintenance
Canonical: /products/field
industrial energy optimization
Canonical: /solutions/energy-optimization
condition-based maintenance
Canonical: /solutions/condition-based-maintenance
free OPC UA client
Canonical: /products/opc-client
Related for search and evaluation
Primary product for asset management and maintenance work.
Condition, physics, and remaining-life workflows.
Governed recommendations with approval and replay.
Maximo, HighByte, MaintainX, Fiix, and field alternatives.
Definitions for CMMS, DataOps, UNS, twins, and agents.
Labeled benchmarks and pilot methods.