Analyse des signaux operationnels
Analyse capteurs, alarmes, maintenance, inspections et contexte operationnel.
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Physical AI Decision Intelligence
FactVerse AI Agent
Du signal operationnel a l'action tracable.
Intelligence decisionnelle Physical AI pour actifs operationnels. FactVerse AI Agent analyse les signaux, les relie au contexte actif et transforme les constats en actions verifiables et ordres de travail Inspector.
Decision Intelligence Layer
Prediction, anomaly analysis, evidence review, and execution workflows in one operating loop.
Growing AI Toolset
Natural-language access to prediction, analysis, and reporting workflows.
Always-on
Every asset gets its own continuously available AI data scientist.
Platform Capabilities
A Physical AI data scientist for every operational asset
A complete Physical AI workflow from data ingestion to model training to decision recommendation, automated and running around the clock.
Knowledge graph
Relie equipements, capteurs, alarmes, lieux, procedures et ordres de travail.
Maintenance predictive
Utilise tendances, anomalies et historique pour prioriser les actifs.
Execution Inspector
Transforme les constats en ordres de travail, execution terrain, documentation et verification.
How It Works
From raw data to validated action in three steps
Step 01
Connect your data
Connector options include REST, MQTT, OPC UA, BACnet, Modbus, JDBC, CSV, Fabric, and Templates. Pre-built integrations cover Siemens, Honeywell, Kepware, PI, Azure, and more.
Step 02
AI analyzes and recommends
AI Agent reviews trends, anomalies, asset relationships, and operating context. Knowledge graph reasoning traces cross-system causality, and each recommendation includes supporting evidence.
Step 03
Validate in the twin, then act
Twin Engine checks spatial conflicts, equipment logic, and workflow constraints in 3D before approved actions flow into execution systems.
Deep Dive
Intelligence decisionnelle Physical AI
FactVerse AI Agent aide les equipes operationnelles a passer de signaux disperses a des actions tracables. Il ne remplace pas les systemes existants, mais connecte leurs signaux au contexte des actifs et de l'espace.
Deep Dive
Frontiere avec Designer
La planification layout, la simulation de processus, la planification virtuelle et la validation physique appartiennent a FactVerse Designer. AI Agent analyse, recommande et relie les constats valides a l'execution Inspector.
Industry Scenarios
One platform, any operations-intensive industry
The same decision intelligence layer can be deployed with industry-specific operating context while keeping execution workflows consistent.
Facility operations
Correlate alarms, environmental signals, equipment status, and maintenance history so facility teams can act earlier and with better context.
Predictive maintenance
Identify degradation trends, rank maintenance priorities, and route validated findings into Inspector work orders and field tasks.
Data center operations
Connect thermal signals, power data, cooling equipment, alarms, and operational context to support risk review and maintenance planning.
Semiconductor facility operations
Support cleanroom drift response, utility equipment monitoring, predictive maintenance, and Inspector execution workflows.
Why FactVerse
The only platform built for Physical AI with physics twin engines
Others can show, guess, or render. FactVerse can show, compute, validate, and execute Physical AI operations in one closed loop.
| Capability | BI / Dashboard | IoT Platform | AI Consulting | 3D Digital Twin | FactVerse |
|---|---|---|---|---|---|
| See problems | |||||
| Understand causes | |||||
| Predict trends | |||||
| AI-assisted review | |||||
| Physics validation | |||||
| 3D visualization | |||||
| Decision support | |||||
| Risk review | |||||
| Execution handoff |
ROI at a Glance
Measurable impact without replacing your operations stack
Actual outcomes vary by site, asset condition, workflow maturity, and integration scope.
Maintenance noise
Lower
with context-aware triage
Manual coordination
Less
with work order handoff
Response cycle
Faster
from finding to action
Decision review
Shorter
with twin context
* Outcomes depend on site scope, data availability, asset condition, and operating process maturity.
FAQ
Common questions from operations and transformation teams
Non. La simulation de processus et la planification virtuelle sont centrees sur FactVerse Designer. AI Agent est la couche d'intelligence decisionnelle.
Next Step
Decide with operational context
FactVerse AI Agent is built for teams that need Physical AI decisions grounded in real data and facility context. Start with a focused operational workflow.
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