Critical infrastructure operators — power plants, water systems, manufacturing facilities — rely on aging SCADA systems that generate massive volumes of sensor data but provide limited intelligence. Operators are overwhelmed by alarms, unable to distinguish between nuisance alerts and genuine threats to system integrity. Unplanned downtime costs millions and can endanger public safety.
Aevus is an AI-enhanced infrastructure monitoring platform that layers intelligent analysis on top of existing SCADA and industrial control systems. It ingests data from legacy sensors, PLCs, and RTUs to provide predictive maintenance alerts, anomaly detection, and operational optimization — without requiring a full system replacement. Aevus transforms raw telemetry into actionable intelligence that keeps critical systems running.
A natural gas power plant uses Aevus to monitor turbine health indicators, predict bearing failures weeks in advance, and optimize fuel consumption across multiple generation units — reducing unplanned downtime and maintenance costs.
A municipal water district deploys Aevus across 40+ pump stations to detect pressure anomalies indicating main breaks, optimize chemical dosing, and generate state-mandated compliance reports automatically.
A DoD installation uses Aevus to monitor electrical, HVAC, and utility systems across the base, correlating sensor data to identify cascading failure risks before they impact mission readiness.
Multi-site monitoring with centralized dashboards and analytics
Deployed within OT networks with full air-gap support
Edge processing at facilities with cloud analytics and reporting