AI-powered industrial digital twins

Industrial intelligence, visualized

Bring physical assets, live data, and engineering knowledge together. See the whole system. Understand every part.

AI-powered digital twins integrate live IoT, 3D reality capture, and domain models into a continuously learning whole-lifecycle asset operational model. Real-time condition monitoring, anomaly detection, and ML-driven health scoring across complex asset hierarchies—backed by FMEA, RCM, and predictive RUL engines. A full work-order value chain with safety gating, competence checks, materials tracking, and outage scheduling keeps execution tight. Data quality governance enforces validation, lineage, and audit trails. AI-powered workflows turn insight into action—risk-informed prioritization, optimized maintenance spend, and measurable lifecycle ROI.

Everything you need for industrial digital twins

Instant Setup
Real-time Simulation
3D Visualization
Enterprise-Ready Auth
Asset Registry
Sensor & Channel Management
Analytics & Insights
FMEA / FMECA
RCM Studio
Condition Monitoring
Work Management
Maintenance Planning
Change Management
Data Quality Engine
Asset Health
Predictive Maintenance
KPI Framework
Portfolio Optimization
Asset Economics
AI Workflow
Permit to Work & LOTO
Competence & Authorization
Materials & BOM
Outage Planning
Data Governance
Evidence-to-Model Pipeline
Data Ingestion
Email Notifications
What-If Scenarios
Open Architecture
Multi-Domain Templates

One asset, the whole digital thread

Live 3D geometry, the asset registry, an auto-composed O&M wiki, FMEA failure modes with RPN scoring, and permit-to-work controls—every view stays in sync on a single asset.

Standards compatibility

InfraAgent is designed to be compatible with the ISO 55000:2024 asset management family, ISO 31000:2018 risk management, SAE JA1011 and JA1012 reliability-centered maintenance, IEC 60300-3-11:2009, IEC 60812:2018 FMEA/FMECA, EN 13306:2017 maintenance terminology, EN 15341:2019+A1:2022 maintenance KPIs, ISO 17359:2018, ISO 13372:2012, ISO 13374-1:2003 and ISO 13381-1:2015 condition monitoring and prognostics, ISO 14224:2016 reliability data, ISO 23247-1:2021 digital twin framework and ISO 81346-10:2022 reference designation.