IT/OT convergence that connects insight—without compromising operations
Unify IT and OT data through intelligent digital twins—so enterprise teams and operations teams work from the same truth, while preserving safety, reliability, and control on the shop floor.
What is IT/OT convergence in an intelligent digital twin platform?
IT/OT convergence is the structured alignment of operational technology (OT) and information technology (IT) data, context, and decision-making—without directly coupling control systems to enterprise applications. In an intelligent digital twin platform, convergence happens through contextualized, governed data layers that allow insight and optimization to flow safely across organizational boundaries.
The real reasons convergence is hard
IT and OT teams often want the same outcomes—but operate under very different constraints.
Common barriers include:
OT prioritizes safety, uptime, and deterministic behavior
IT prioritizes scalability, analytics, and integration
Different data models, tools, and languages
Security concerns about exposing control systems
Unclear ownership of data and decisions
When convergence is treated as a direct system-to-system integration, risk and resistance increase. The platform approach changes that.
Convergence without direct coupling
The platform acts as a neutral, governed layer between IT and OT—so each side can do its job without compromise.
How it works:
OT systems remain authoritative for control and safety
Data is ingested read-only from OT where appropriate
Signals are normalized and mapped to shared asset context
IT systems consume insights, not raw control data
Decisions flow back through governed workflows—not direct writes
This creates alignment without exposing critical systems or blurring responsibilities..
Designed to bridge worlds safely
Operational-grade reliability
Integration that's monitored, auditable, and built for 24/7 environments.
Contextual data mediation
Translate raw OT signals into business-and asset-aware information IT teams can use.
Shared asset and process models
Create a common language for assets, lines, buildings, networks, and sites.
How teams converge in practice
Read-only OT, insight-first
Start with visibility and analytics—no control impact.
Use-case-driven convergence
Align IT and OT around one shared outcome (maintenance, energy, throughput).
Hybrid deployment models
Keep sensitive ingestion near operations, centralize analytics and governance.
Phased trust building
Expand scope as teams see consistent value and reliability.
When IT and OT share the same truth
Faster deployment of analytics, ML, and simulation
Fewer debates over whose data is "right"
Better coordination between planning and operations
Improved resilience and incident response
Stronger foundation for digital twins and optimization
Related capabilities and solutions:
FAQ: IT/OT convergence
Align IT and OT—without increasing risk
Create a shared foundation for insight, prediction, and optimization that both teams trust.