GridMind delivers a complete AI stack for energy grid intelligence — from raw sensor ingestion to automated regulatory compliance.
Temporal transformer models delivering 98.7% accuracy across 15-min to 72-hr horizons. Trained on 10 years of global grid telemetry.
Transformer AIReinforcement learning dispatch engine rebalances load across all nodes in under 50ms. Eliminates peak demand surcharges automatically.
Sub-50msPredicts solar and wind generation windows to maximize renewable utilization and eliminate curtailment waste before it occurs.
Green GridPrivacy-preserving distributed model training. Each utility contributes to global intelligence without sharing raw grid data.
Privacy-FirstAutomated ESG compliance reports meeting Article 8 CSRD, GRI 302, and GRI 305 standards. Audit-ready in minutes, not months.
ComplianceTensorRT-optimized models running on NVIDIA H100 clusters. 12M inferences per hour with 47ms p50 latency at production scale.
NVIDIA H100ONNX Runtime models deployed directly at substation level for local decision-making with microsecond response times.
Edge AISOC 2 Type II, ISO 27001, and NERC CIP compliant. End-to-end encryption with zero-trust network architecture.
SOC 2 Type IINative connectors for SCADA, OSIsoft PI, GE Grid Solutions, Siemens EMS, and all major utility management platforms.
No-Code SetupOur temporal transformer architecture processes 1,200+ grid variables simultaneously through multi-head self-attention layers — capturing complex temporal dependencies that traditional ARIMA and regression models fundamentally cannot.
Models are continuously retrained on live telemetry using PyTorch with automatic hyperparameter optimization — ensuring accuracy stays above 98% even as grid topology evolves.
Native connectors for every major utility platform, SCADA system, and cloud provider.
Schedule a live demo with our solutions team — customized to your grid topology and use case.