Energy Software Development

Usually, and read access is the normal scope. Historians such as PI and equivalents expose APIs or exports, and SCADA systems often surface data through OPC or a dedicated interface. What we do not do is write into control systems — anything touching operational control is a safety-certified discipline with its own standards and assurance regime. We build the analytics, reporting and integration layer above SCADA and historians rather than take the work.

It has to, and it shapes the architecture rather than being handled afterwards. Edge capture with local buffering, store-and-forward sync that survives days offline, and data models that tolerate late-arriving and out-of-order readings. A system that assumes continuous connectivity produces gaps in exactly the records that regulatory reporting depends on.

Useful rather than exact, and accuracy degrades with horizon. Day-ahead wind and solar forecasts built on weather data, site characteristics and historical output are good enough to materially reduce imbalance cost, which is usually the commercial case. Intra-day is better; week-ahead is directional. We are explicit about confidence intervals rather than presenting a single number, because trading decisions made on an over-confident forecast cost more than no forecast.

Partially. Assets with vibration, temperature, pressure or current monitoring give models real signal. Older equipment may only expose run hours and fault codes, in which case the output is better-timed scheduled maintenance rather than genuine prediction. Retrofitting sensors is usually justified on critical assets and rarely on everything. We assess which of your assets fall into which category before building anything.

All three, though the constraints differ sharply. Utilities bring regulated data flows, settlement obligations and population-scale metering. Generators and renewables bring asset performance, forecasting and trading. Oil and gas brings remote operations, field service and heavy compliance reporting. The engineering discipline is shared; the regulatory surface is not.

For a defined scope we target a working MVP in 30 days and a core production build in 90. Energy extends when SCADA or historian integration, regulatory data flow certification or multi-site field rollout are involved. We flag which apply during the free solution architecture rather than after work begins.