Intelligent infrastructure for critical operations

Reactive maintenance fixes equipment after it breaks. Preventive maintenance services on a fixed schedule. Predictive maintenance uses sensor data and ML to identify the specific signature that precedes a failure, scheduling maintenance only when needed.

IoT sensors capture operational data — temperature, pressure, vibration, current draw — at high frequency. The platform aggregates data across thousands of assets, runs anomaly detection and surfaces alerts before failures occur.

Edge computing processes data close to where it's generated rather than sending all data to a central cloud. Some decisions require sub-second response times that cloud round-trips can't achieve. Edge and cloud work together.

High-throughput ingestion pipelines, time-series databases optimized for sensor data, streaming processing for real-time anomaly detection, and visualization that allows navigation from fleet-level overview to individual asset detail without latency.

Energy trading platforms manage buying and selling of electricity across spot markets, futures and bilateral agreements. Data intelligence improves trading by forecasting variable generation (wind, solar), predicting consumption patterns and optimizing bidding strategies simultaneously.