Always-on asset intelligence
Watch live and historical signals across critical equipment around the clock, bringing emerging risk to the surface before it becomes disruption.
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Always-on intelligence for industrial operations
FactVerse AI Agent
Turn every operational signal into a confident next action
FactVerse AI Agent works around the clock across critical assets and facilities. It detects emerging risk, explains what matters, and helps teams turn operational insight into approved maintenance and field action.
24 × 7 awareness
Continuously watch critical assets, signals, and operating conditions.
Explainable recommendations
Show the evidence, history, and asset context behind each suggested action.
Connected execution
Carry approved findings into work orders, field evidence, and follow-up.
What changes for your operations team
An always-on intelligence layer for every critical asset
Give operations and maintenance teams earlier warning, clearer evidence, and a direct path from insight to accountable work.
Explainable risk detection
Combine trends, anomalies, maintenance history, and operating conditions so teams can see why an issue matters and what evidence supports it.
Operational knowledge graph
Understand how equipment, sensors, spaces, procedures, alarms, and work orders relate, adding real-world context to every review.
Maintenance prioritization
Help reliability and maintenance teams focus first on the assets and conditions most likely to affect safety, availability, or performance.
Ask operations in natural language
Let operators ask about asset health, recent events, recurring failures, and next checks without searching across disconnected systems.
From insight to accountable action
Move a reviewed recommendation into Inspector work orders, field evidence, verification, and a feedback loop that improves future decisions.
How It Works
From scattered signals to confident action in three steps
Step 01
Connect your data
Bring together signals from BMS, SCADA, CMMS, historians, sensors, databases, and business systems without replacing the systems your teams already use.
Step 02
AI analyzes and recommends
FactVerse AI Agent reviews trends, anomalies, asset relationships, and operating history, then prepares an explainable recommendation for the responsible team.
Step 03
Validate in the twin, then act
Teams review the recommendation with digital twin context and operating constraints before approved work moves into Inspector or an existing execution system.
Deep Dive
See risk before it becomes disruption
Operations teams already have more alarms, dashboards, and records than they can review consistently. FactVerse AI Agent works across those signals around the clock, drawing attention to changes that deserve investigation and helping teams focus on the assets that matter most.
Deep Dive
Give every recommendation real-world context
An operating signal rarely tells the whole story. FactVerse connects it with equipment identity, location, connected systems, maintenance history, inspections, procedures, and work orders. Teams can review what changed, why it matters, and which evidence supports the recommended next step.
Deep Dive
Turn insight into accountable action
A recommendation creates value only when the right people can review and act on it. Approved findings can move into Inspector work orders, field instructions, evidence capture, verification, and closeout while the customer's operating team remains in control.
Deep Dive
Build an operating system that keeps learning
Completed inspections, maintenance actions, accepted recommendations, and field outcomes create a stronger foundation for the next review. This feedback helps teams refine operating knowledge and improve machine-learning workflows over time, without losing human accountability.
Industry Scenarios
Built for operations where every decision has real consequences
Start with a critical workflow, prove value with the operating team, and expand across assets, facilities, and sites on the same foundation.
Facility operations
Bring alarms, environmental conditions, equipment status, and maintenance history into one review so facility teams can act before small issues spread.
Predictive maintenance
Detect degradation earlier, focus maintenance attention on critical assets, and carry approved recommendations into field work and follow-up.
Data center operations
Review thermal, power, cooling, alarm, and service information together to identify operating risk and prepare maintenance action with better context.
Semiconductor facility operations
Help facility teams investigate cleanroom drift, utility equipment health, and recurring maintenance issues across complex production environments.
Why FactVerse
One operating loop across data, intelligence, twins, and field work
FactVerse brings together capabilities that are usually separated across dashboards, IoT platforms, analytics projects, 3D environments, and work-management systems.
| 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
Create more time for the work that matters
Focus people on the risks, decisions, and field actions that need their experience most.
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
It is an always-on industrial intelligence layer for facilities and equipment. It monitors operational signals, explains emerging risk, and helps teams turn reviewed recommendations into traceable action.
Dashboards and IoT platforms make operational status visible. FactVerse AI Agent adds asset relationships, operating history, analysis, and a path to human-approved work so teams can move from seeing a problem to resolving it.
FactVerse Twin Engine provides spatial and asset context, while Designer prepares layouts, scenarios, and simulation workflows. AI Agent uses this context to make recommendations easier to understand and review.
No. FactVerse AI Agent prepares evidence and recommendations. Operators, engineers, and supervisors remain responsible for approval and execution according to the customer's operating process.
Data Fusion Services can connect BMS, SCADA, CMMS, EAM, IoT sensors, historians, databases, APIs, and other operational systems through standard interfaces.
Start with one high-value workflow such as recurring equipment alarms, predictive maintenance for a critical asset group, or daily facility risk review. DataMesh can then connect the required data and validate value with the operating team before expanding.
Next Step
Start with one critical operational challenge
Choose a recurring alarm, a critical equipment group, or a facility review process. DataMesh will help connect the right context and demonstrate how insight can move into accountable action.
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