Helios Grid 

Helios Grid operates utility-scale solar and wind assets across three continents. As their portfolio grew past 4,000 sites, the spreadsheets and vendor dashboards that once worked became a liability — operators were stitching together forecasts by hand and reacting to grid events hours too late.

They came to us with a clear mandate: one platform, real-time, trusted enough that a control-room operator would bet a dispatch decision on it.

The hard part was never the charts — it was the data underneath them. Telemetry arrived from dozens of hardware vendors in incompatible formats, at wildly different intervals, with gaps and outliers that would quietly poison any forecast.

On top of that, the interface had to stay legible at a glance under pressure. A control room is not a place for clever visualizations; it's a place where the right number has to be unmistakable in half a second.

We built an ingestion layer that normalizes every vendor feed into a single time-series model, with anomaly detection that flags bad sensor data before it reaches a forecast. Operators see not just the prediction but its confidence — and why.

Design-wise we worked alongside two veteran control-room operators for the entire build, testing every screen against the question: can you read this while three other things are on fire?

Helios now forecasts portfolio output 48 hours out with a margin tight enough to trade on. Dispatch decisions that used to take a morning of spreadsheet wrangling happen in the platform in minutes.

Eight months after launch the system runs every site they own, and the operations team has stopped asking for the old dashboards back — the highest compliment a tool like this gets.

A streaming pipeline built on Kafka and TimescaleDB ingests roughly 2 million data points a minute, with a forecasting service in Python feeding a Next.js front end over a typed GraphQL layer.

The whole thing runs on Kubernetes with horizontal autoscaling tuned to grid-event spikes, and every forecast is versioned so an operator can always ask the system to show its work.