Symbolic AI
Rules-based intelligence
Codifies domain knowledge, logic flows, and safety rules to enforce compliance and make decision-making transparent.
INDUSTRIAL AI · MISSION-CRITICAL
Built for mission-critical operations. Engineered for trust. Designed for action.
In industrial environments, every minute of downtime, every equipment failure, and every regulatory misstep carries major consequences. AI must do more than analyze. It must think, act, and adapt in real time, grounded in a secure, composable, and governed framework.
Most AI platforms are designed for personalisation or productivity. Industrial AI operates where the cost of a wrong call isn’t lost time, but lost production, equipment damage, or lives. It demands different principles, different safeguards, and a different architecture.
XMPro was designed from the ground up for high-consequence environments. Composite AI for reasoning. Agentic orchestration for action. Built-in governance for trust.
XMPro does not rely on a single model. Composite AI is a framework of complementary AI techniques where no single method is a single point of failure. Each technique brings a specific kind of reasoning to industrial decisions, and together they form a decision loop that is explainable, safe, and operationally grounded.
Rules-based intelligence
Codifies domain knowledge, logic flows, and safety rules to enforce compliance and make decision-making transparent.
Physics-based validation
Applies engineering and physics-based models to simulate and verify that actions are feasible and will not break operational constraints.
Root-cause discovery
Determines the true root causes of anomalies or failures, not just correlations, so that fixes are meaningful and lasting.
Forward-looking intelligence
Uses machine learning to forecast asset failures, energy demand, or quality deviations based on historical and live data.
Insight synthesis and communication
Interprets patterns, creates summaries, explains agent behavior, and drafts new strategies in real time.
Autonomous decision and action
Operationalizes all these intelligence layers through agents that observe, reason, plan, and act, governed by rules of engagement.
XMPro enables fast, safe deployment of AI across key operational domains. Each use case is grounded in real-time data, validated by rules or physics, and orchestrated by intelligent agents to deliver measurable results.
Enhance production efficiency through real-time monitoring and AI-assisted parameter optimization, reducing waste and improving throughput.
Explore →Predict equipment failures before they occur with digital twin technology and agent-based monitoring, increasing uptime and extending equipment life.
Explore →Identify quality issues in real time with multi-agent monitoring of production parameters, reducing defects and ensuring consistent product quality.
Explore →Create visibility across complex supply networks with real-time event monitoring and intelligent coordination between production and logistics.
Explore →Track environmental metrics in real time and optimize operations to reduce resource consumption, emissions, and waste while ensuring regulatory compliance.
Explore →Proactively identify and mitigate operational risks through continuous monitoring and AI-powered scenario analysis before they impact production.
Explore →Enhance workplace safety with real-time monitoring of critical parameters and proactive alerts before hazardous conditions can develop.
Explore →Empower your workforce with AI assistants that provide contextual guidance, capture expert knowledge, and accelerate onboarding for new operators.
Explore →XMPro supports mission-critical operations across sectors where reliability, safety, and continuity are non-negotiable.
Talk through where Composite AI and agentic orchestration fit your environment, or explore the broader agentic AI continuum.