Optimize Grid Performance with AI-Powered Metering
Collect smart meter data via MQTT, monitor grid infrastructure with Prometheus, and analyze consumption patterns with AI MasterMind on S3.
Energy infrastructure analytics
MQTT ingestion for smart meters with automatic payload parsing and tenant isolation per utility zone.
Prometheus remote write from grid sensors with real-time Grafana dashboards and alerting.
Built-in DWD severe-weather warnings and OpenAQ air-quality readings, joinable against your meters and PV inverters in one SQL query.
AI MasterMind analyzes consumption patterns, forecasts demand, and identifies grid inefficiencies.
Tie production dips to actual weather events
Icelake ingests German Weather Service (DWD) severe-weather warnings into the same lakehouse as your PV inverter telemetry. One SQL query — or one MasterMind question — joins your asset readings against the active warning polygons covering them at that instant.
Ask MasterMind
"Plot today's PV power against rain warnings overlapping the site coordinates."
MasterMind resolves the spatial join, returns a time series with the warning overlays, and saves the chart for the next operations review — no GIS pipeline, no separate weather feed contract. See Geo & Public Datasets for the underlying schema.
Ready to get started?
Get started in minutes. Ingest data via Prometheus, Loki, OpenTelemetry, or MQTT. Query with SQL and AI.
