Operations Intelligence
Physics-grounded operations layer for assets, maintenance, reliability, GIS, and field work.
TwinEdge Operations Intelligence combines AssetOps EAM, spatial context, physics-based digital twins, process context, failure analysis, O&M/EOM knowledge, predictive PM, reliability, inventory, safety, dashboards, and governed AI recommendations.
Works above and alongside existing CMMS, GIS, SCADA, historians, ERP, BI, and field systems.
Agents draft and recommend from physics model outputs, operating envelopes, source evidence, and approved enterprise context.
AssetOps connects asset detail, physics-based twin state, sensors, PM, O&M/EOM, reliability, dashboards, and field evidence.
AssetOps in action
From physics-based asset context to recommended maintenance and verified field work.
AssetOps EAM brings asset registry, GIS, physics-driven insights, predictive and O&M-derived PM recommendations, electronic manuals, planner workflows, inventory, safety, reliability, dashboards, and evidence into one maintenance operating layer.
AssetOps EAM operations workspace
Assets, GIS, work, PM, rounds, workforce, inventory, safety, EOM, reliability, planning, dashboards, admin, and AI governance operate from one workspace.
AI PM recommendation review
PM recommendations carry source document, schedule cadence, priority, confidence, physics context, approval state, and review workflow.
Physics-driven asset insights
Physics-based anomaly context, energy waste, cost impact, affected assets, and action-ready recommendations feed maintenance planning.
GIS with asset digital twin context
The map can show assets, layers, telemetry, selected-asset context, work actions, inspection actions, and digital twin context.
O&M chat with citations
Manual knowledge becomes cited answers and reviewable maintenance evidence instead of disconnected PDFs.
Capability stack
From physics-based context to approved work and evidence.
Operations Intelligence closes the loop from telemetry, physics models, failure analysis, and recommendations into maintenance planning, field action, dashboards, compliance evidence, and asset history.
Connected asset intelligence
Asset hierarchy, GIS, network tracing, datasheets, physics-based digital twin context, sensors, health, deterioration, process impact, lifecycle, and warranty.
PM and predictive PM
Schedules, templates, programs, inspection protocols, O&M-derived PM recommendations, and predictive proposals from RUL, physics-based degradation, vibration, operating load, and custom telemetry.
Electronic O&M and EOM
Vendor manuals, RAG chat with citations, PM extraction, electronic operations manuals, procedures, drawings, P&IDs, procedure execution, and training evidence.
Work execution and planning
Work orders, assignments, approvals, scheduling board, rounds, workforce, travel matrix, gap-fill proposals, decision ledger, weather gating, and morning briefs.
Reliability and diagnostics
Reliability Autopilot, physics-based failure analysis, bad actors, FMEA, Pareto, RCA, Weibull, reliability metrics, diagnostics, knowledge base, and KB chat.
Dashboards and BI
Custom dashboards, widgets, role-based defaults, filter context, cross-filters, pinned KPIs, and Apache Superset integration when BI Studio is enabled.
Product breadth
One suite for the maintenance, reliability, field, safety, inventory, and governance workflows buyers expect.
AssetOps EAM is built for the full operating lifecycle: asset records, physics-based condition, work execution, reliability programs, field operations, inventory, safety, compliance, dashboards, roles, forms, and governed AI.
Spatial intelligence
GIS is a platform capability inside Operations Intelligence.
AssetOps can use the same operational map for assets, work, PM inspections, telemetry, physics-based risk, compliance zones, documents, alarms, service areas, network traces, field routing, and capital planning.