XMPRO PLATFORM
The platform for governed industrial decision flow.
XMPro connects operational signals, trusted context, role-based applications, AI-assisted decisions, simulation, bounded action, and Decision Trace in one production architecture.
From operational visibility to governed autonomy.
Industrial teams need the operating path from signal to action to be visible, governed, and repeatable. XMPro provides the platform layers that let enterprises observe, contextualise, decide, act, and preserve evidence.
Monitor, advise, coordinate, and operate with increasing authority.
XMPro supports the full journey from operating visibility to bounded autonomy. The platform doesn’t force every use case into full autonomy. It lets teams sequence authority by value, readiness, risk, and evidence.
Monitor & Predict
Connect operational data, detect risk, and understand what is likely to happen next. Real-time data, anomaly detection, and leading indicators of failure across your existing operational systems.
Example Capabilities
The operating layers of the same decision architecture.
These aren’t separate point tools. They’re the operating layers of one production decision architecture.
Data Stream Designer
Observe, normalise, enrich, and prepare operational signals from historians, event streams, alarms, work systems, engineering systems, and external data.
Operational Context Engine
Turn operational data into trusted semantic context and an open, governed ontology. OIM sits inside OCE as the identity and ontology model.
AI Workflow Harness
Bring governed model reasoning into visible Data Stream workflows, including context assembly, classification, summarisation, enrichment, structured outputs, approved tool access, validation, routing, and observability.
XMPro MAGS
Power AI Assistants, AI Advisors, and Cognitive Decision Teams through governed Cognitive Decision Loops. AI Workflow Harness governs model reasoning inside workflows. MAGS governs cognitive and collaborative operational decisions.
AppDesigner
Deliver dashboards, workflows, operational applications, and role-based experiences against the same trusted context.
XMPro FRS
Front-run scenarios, proposed actions, what-if branches, and constraint checks against validated domain models before production action.
Action Agents + Decision Trace
Route approvals, bounded action, escalation, human review, and auditable evidence.
Operational signals must be fit for decisions.
Industrial data is high-volume, uneven, time-sensitive, and spread across operational systems. Before AI can advise or act, signals need to be observed, normalised, enriched, and routed into the right context, model, workflow, advisor, or application.
Without trusted context, autonomy becomes opinionated automation.
The Operational Context Engine turns raw operational data into trusted, governed context, built on the six things every fit-for-decision fact needs.
Identity
Resolve the same asset, signal, or entity consistently across every system.
Semantics
Shared meaning, so every system reads the same operational data the same way.
Relationships
How assets, processes, and constraints actually connect to one another.
Constraints
Operating limits, rules, and safety boundaries the platform must respect.
Source priority
Which source wins when systems disagree about the same fact.
Lineage
Where every fact came from, traced end to end.
From one governed source of truth, trusted context powers every application, workflow, AI Assistant, AI Advisor, Cognitive Decision Team, XMPro FRS simulation, and bounded action.
DECISION ARCHITECTURE, NOT MODEL NOVELTY
Reasoning models improve inference. Industrial operations need decision architecture.
XMPro governs how context is assembled, how reasoning is constrained, how decisions are routed, how authority is bounded, and what evidence remains after the decision.
Scroll to see how the intelligence layer processes decisions →
PRODUCTION-PROVEN
Real Results. Real Operations.
XMPro runs in production across asset-intensive and mission-critical operations, helping industrial enterprises compose intelligent operations that solve real engineering and operational problems at scale.