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INDUSTRIES · ENERGY

Real-time intelligence for grids, assets, and operations.

We build monitoring, predictive maintenance, and anomaly detection systems for grid infrastructure — from distribution transformers to generation assets.

Grid infrastructure operates in conditions that most software engineers never encounter: intermittent connectivity, legacy SCADA interfaces, heterogeneous sensor data from equipment spanning decades, and regulatory reporting requirements that change by state. Our systems are designed for this operational reality.

We build real-time monitoring with sub-5-minute refresh cycles, load forecasting that correlates weather, historical consumption, and infrastructure state, and theft analytics that detect tampered metering points before losses compound. Integration happens at the data layer, not the dashboard layer.

Whether it is distribution transformer health monitoring across a state utility or predictive failure models that prioritise maintenance dispatch, we deliver systems that pre-warn grid failures before consumers notice — and before costs escalate.

What we solve in energy.

  • Real-time transformer monitoring with sub-5-minute refresh cycles that detect anomalies before cascading failures

  • Predictive maintenance models that correlate weather, load, and fault history to prioritise field dispatch

  • Theft and tamper analytics that identify metering irregularities across large distribution networks

  • Integration with legacy SCADA, IoT gateways, and heterogeneous sensor arrays without infrastructure replacement

Shipped work in energy.

Real deployments, not proofs of concept. Each project below is running in production.

Ready to build AI for energy?

Tell us about your operational challenge. We'll respond within two business days.

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