One operating view across facility systems
Connect BMS, CMMS, IoT, historian, energy, inspection, and enterprise data so facility teams can work from shared asset and operating context.
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Data Fusion Services
Turn fragmented industrial data into trusted operational context
Data Fusion Services connects fragmented industrial data, aligns it with real assets and operations, and creates a trusted foundation for digital twins, facility workflows, analytics, and AI.
Make industrial data ready for action
Connect existing systems, align asset identity, make quality visible, and deliver trusted context to digital twins, operations, analytics, and AI.
- Connect what you already have
Bring together BMS, SCADA, CMMS, EAM, historians, IoT platforms, databases, files, and enterprise systems through standard protocols and reusable connectors.
- Reconcile asset identity across systems
Match equipment, locations, tags, and work records that use different names or identifiers, creating a consistent operational view across sites and source systems.
- Build trust in every data stream
Identify missing values, duplicates, unit conflicts, timestamp gaps, and changing schemas before they affect dashboards, models, or operations.
- Create reusable operational data
Turn repeated mapping, cleansing, calculation, and fusion work into governed datasets and reusable workflows that can serve multiple teams.
- Prepare data for AI and analytics
Provide contextualized operational data for FactVerse AI Agent, predictive maintenance, machine-learning workflows, BI, and reporting while preserving source and quality context.
- Bring live context into the twin
Bind equipment status, alarms, measurements, and calculated indicators to FactVerse scenes so teams can understand what is happening and where.
Where trusted operational data creates value
Start with a visible business outcome, prove the data is useful, and expand from a foundation teams can trust.
Consistent asset and work-order identity
Align duplicate and inconsistent equipment, location, provider, and work records across sites and systems without hiding their original source.
Trusted data for digital twins and AI
Give digital twins, predictive maintenance, reporting, and AI Agent workflows data that carries clear meaning, quality, and lineage.
Operational data should create action, not another silo
Industrial data is rarely missing. It is usually scattered across controls, sensors, maintenance systems, spreadsheets, databases, and cloud services, each with different names, structures, and owners. Data Fusion Services turns that fragmentation into operational context teams can trust and use.
Connect systems without losing meaning
Data Fusion Services connects operational technology, enterprise applications, documents, files, and cloud platforms while preserving where each record came from. Teams can combine live signals with asset, work-order, inspection, energy, and business context instead of building another isolated data store.
Create one trusted view of assets and operations
The same equipment may have different names in a BMS, CMMS, spreadsheet, and digital twin. Data Fusion Services helps teams reconcile those identities, review conflicts, and keep the original source visible. The result is a consistent operational view without pretending that source-system differences do not exist.
Put trusted data to work across FactVerse
Once data has clear identity, quality, and context, the same foundation can support live digital twins, facility operations, predictive maintenance, energy review, reporting, and FactVerse AI Agent. Each connected workflow adds reusable knowledge instead of creating another one-off integration.
Start with a business outcome
The strongest starting point is not “connect everything.” Choose one visible result: a reliable asset view, a cross-system work-order picture, a live facility twin, or a dataset for predictive maintenance. Prove that the data is useful with the team that owns the outcome, then expand from a trusted foundation.
Frequently Asked Questions
How do I implement Data Fusion Services?
Start with one outcome such as a unified facility view, trusted equipment registry, predictive-maintenance dataset, or live digital twin. DataMesh maps the required sources and validates the result with the people who own and use the data before expanding.
What is the licensing model?
Data Fusion Services follows a license and services model: (1) Node/Server License covers on-premises or private-cloud deployment to host the Data Fusion Services environment and manage data processing tasks. (2) Optional Service Fees include customization or integration services for specific use cases or advanced AI/ML configurations.
How does Data Fusion Services integrate with existing systems?
Data Fusion Services uses standard industrial protocols, APIs, database connections, files, and reusable adapters to work with existing BMS, SCADA, CMMS, EAM, MES, ERP, historian, IoT, and cloud environments.
Does it replace our existing source systems?
No. Source systems can remain in place. Data Fusion Services connects and contextualizes their data so digital twins, operations teams, analytics, and AI can work from a consistent view while source records remain traceable.
Where can Data Fusion Services run?
Deployment can be designed for cloud, private-cloud, on-premises, or hybrid environments according to customer security, connectivity, and data-residency requirements.
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