GridMind is an AI agent that monitors, optimizes, and manages renewable energy assets autonomously. Built for portfolio managers who oversee dozens of wind and solar sites.
SCADA systems, inverter dashboards, weather feeds, grid interfaces. Each site is a different login, a different format, a different headache.
Turbine faults discovered days late. Solar degradation caught in quarterly reviews. By the time you see the problem, you've already lost revenue.
Investor reports assembled by hand. Performance data copied between systems. Hours spent on spreadsheets that could be spent on deals.
Energy trading positions based on yesterday's data. No real-time optimization across subsidised and merchant assets. Every hour of suboptimal dispatch costs money.
Unified view across every wind and solar site. GridMind ingests SCADA, weather, and grid data to surface what matters: anomalies, underperformance, and opportunities.
Detects degradation patterns weeks before failure. Schedules maintenance autonomously. Coordinates contractors. Reduces downtime by up to 40%.
Daily performance summaries, monthly investor packs, and ad-hoc analyses generated automatically. Formatted, annotated, and delivered without you touching a spreadsheet.
Real-time energy price signals matched to your asset dispatch. Maximizes merchant revenue across your portfolio while respecting PPA commitments and grid constraints.
Hitachi and Siemens build for utility-scale operators with six-figure contracts and year-long implementations. Mid-market portfolio managers, the ones running 10 to 100 sites with small teams, get left with spreadsheets. GridMind is built for them.
The future of renewable portfolio management is not more dashboards. It is intelligence that acts autonomously, optimizes continuously, and reports automatically. GridMind is building that future.