Architecture

GridBrain.ai

A layered reference architecture from edge telemetry to governed autonomy, designed for critical infrastructure scale.

GridBrain Architecture Overview

Layered Design

Layer 01
Edge Intelligence
Signal conditioning, feature extraction, compression, and low-latency response at the source.
Layer 02
Data Fabric
Ingestion, normalization, semantic mapping, governance, and secure distributed storage.
Layer 03
Digital Twin Engine
Topology + physics modeling, state estimation, and dynamic asset health monitoring.
Layer 04
Causal Reasoning
Root cause discovery graphs, counterfactual simulations, and intervention ranking.
Layer 05
Decision & Control
Advisory, assisted, or autonomous execution workflows with policy constraints.
Layer 06
Applications
Outage prevention, loss reduction, DER orchestration, and predictive maintenance dashboards.
Deployment Modes

Flexible infrastructure support for varied security requirements.

SaaS
Private Cloud
On-Prem
Air-Gapped
Integrations
SCADA AMI/HES GIS ERP IoT Data Lakes

Designed to scale from localized pilots to national infrastructure footprints without re-engineering the core fabric.