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Software for the grid that can't go down.

Smart-grid analytics, IoT metering, and renewable asset management.

How we help

Software for the grid that can't go down.

The energy transition is a software problem wearing a hardware costume. Millions of meters, panels, chargers, and turbines produce telemetry that legacy utility systems were never built to ingest, and the business models, dynamic pricing, flexibility markets, prosumer billing, all depend on that data arriving intact and on time.

We build metering pipelines, asset-management platforms for renewable fleets, and the analytics layer that turns grid data into forecasts and settlements. Reliability engineering runs deep here: our energy systems are designed with the assumption that they will be critical infrastructure, because they will be.

  • Idempotent ingestion pipelines that treat bad meter data as normal input, not an exception.
  • Strict read-only boundaries around operational systems; analytics never touches control.
  • Rules-as-configuration for market logic, so tariff changes are data, not deployments.
  • Unified asset models that fold vendor silos into one operational picture.
What we solve

The recurring engineering constraints of energy, and where we start.

Meter data at scale

Interval data from millions of devices, late, duplicated, and occasionally wrong.

Legacy SCADA

Operational systems that predate the cloud and must never be destabilized.

Market complexity

Settlement rules and pricing schemes that change faster than the software.

Asset sprawl

Renewable portfolios spread across sites, vendors, and monitoring silos.