AutoGrid provides a cloud‑based analytics platform that ingests real‑time data from meters, sensors, SCADA, and market feeds to model and forecast energy supply and demand. Using machine‑learning, the platform optimizes dispatch of distributed resources, automates demand‑response programs, and delivers actionable insights through APIs and interactive dashboards, helping utilities and grid operators improve efficiency and maintain reliability.
Funding
Funding not disclosed
3OHC+1Founders
Product
Problem
Utilities and energy providers need to balance increasing renewable generation, variable demand, and grid reliability while managing complex, distributed energy resources.
Solution
AutoGrid offers a cloud‑based analytics platform that aggregates real‑time data from meters, sensors, and market feeds to model and forecast energy supply and demand. The platform applies machine‑learning algorithms to optimize dispatch of distributed resources, automate demand‑response programs, and predict grid constraints. Results are delivered through APIs and dashboards that enable operators to make data‑driven decisions, improve grid efficiency, and meet regulatory compliance.
Target Audience
Primary customers are electric utilities, transmission operators, and energy service companies that manage large‑scale grids and distributed energy resources.
Features
- Real‑time data ingestion from IoT devices, SCADA systems, and market sources
- Predictive load and generation forecasting using advanced machine‑learning models
- Optimization engine for automated demand response and distributed energy resource scheduling
- Interactive visualization dashboards with KPI tracking and scenario analysis
- Open APIs and integration connectors for existing utility IT/OT stacks