Operations Control Tower · POWER UTILITIES
Grid risk, managed in real time — not on the next maintenance window.
Extreme weather, aging infrastructure and growing complexity expose utilities to operational risk that traditional SCADA and dashboards struggle to keep pace with. The XMPro AO Platform fuses live telemetry, weather intelligence and AI decision support into a unified situational picture so operators detect risk early, triage critical assets and coordinate response across the grid.
What's getting in the way today.
Densely interconnected grids face compounding operational pressure:
Dynamic, fast-moving threats
Extreme weather and grid complexity create risk profiles that change minute by minute — faster than dashboard-driven workflows can absorb.
Aging infrastructure under load
Older feeders, transformers and corridors carry growing demand. Predicting which asset is closest to failure is hard without continuous condition data.
Fragmented situational awareness
SCADA, AMI, GIS, OMS and weather data sit in separate systems. Operators, engineers and executives rarely see the same picture during high-stress events.
Reactive maintenance posture
Without predictive insight, work-planning defaults to calendar inspection or post-incident response — both expensive at grid scale.
Grid Risk Mitigation & Intelligent Maintenance — how it works.
A unified risk picture across the grid — telemetry, asset data and environmental indicators fused, with Composite AI embedded across the operational stack to detect, predict, recommend and execute.
The platform integrates high-velocity telemetry from SCADA, AMI, GIS, OMS, weather and maintenance systems — supporting industry protocols including DNP3, IEC 61850 and Modbus. Dynamic digital twins of feeders, transformers and corridors fuse real-time sensor data with asset metadata and historical performance. A Composite AI stack — symbolic, first-principles, causal, predictive and generative models — runs inside data streams to detect anomalies, predict degradation, explain root causes and recommend mitigation aligned with engineering constraints. Specialised AI agents monitor different grid domains, route alerts when voltage, thermal or corridor exposure crosses thresholds, and feed role-based dashboards for control-room leads, field supervisors, asset managers and executives.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Shared situational awareness under stress
Operators, engineers and executives act from one picture during high-risk events, with AI explanations attached to every alert.
Proactive rather than reactive maintenance
Predictive insight on time-to-failure, degradation and environmental risk turns calendar inspection into condition-based work planning.
Right crews at the right time
Predictive insight integrated with scheduling tools puts crews on the asset that matters next — not on the asset that failed last.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
