Product / GridHealth

Analyzing the
Physical Reality.

Computer vision and drone-based asset analysis to bridge the gap between hardware and digital twins.

01Precision Metrics
99.8%

Accuracy in autonomous thermal fault detection across high-voltage infrastructure.

Drone thermal survey of grid infrastructure

Asset: Transformer Cluster 7A

Location: West Grid Hub

Tech Stack 01

Computer Vision

Automated thermal limit analysis of physical assets. Our proprietary neural networks identify micro-degradations before they manifest as failures.

Real-time heat-mapping

Tech Stack 02

Drone Routines

Autonomous inspection of grid infrastructure. Precision flight paths programmed to navigate electromagnetic interference with centimeter accuracy.

Zero-pilot deployment

Tech Stack 03

Digital Twins

Real-time synchronization of physical hardware status to digital models. Every bolt and insulator reflected in a living, breathing CAD environment.

Bi-directional data sync

Ensuring thermal limits and safety demands match predictive models with autonomous inspection.

Request Demo

Schedule a 15-min architectural walkthrough

Hardware

Sensor Integration

Native support for FLIR, LiDAR, and high-gain optical arrays for multi-spectral analysis.

AcquisitionProcessingDeployment