top of page
body-img-01.jpg

Future of Grid Intelligence

Heterodyne provides the cognitive layer for modern electricity networks. Born out of Oxford University labs, we map and mitigate the hidden domino effects in complex infrastructure. Our mission is to accelerate the path to a decarbonised, stable, and autonomous grid. We empower network operators to navigate the transition to DER with AI-native observability and resilience tools. In high-DER low inertia grids, we leverage predictive physics and graph neural network surrogates to de-risk distributed energy resources integration.

Heterodyne is a member of the NVIDIA Inception Program.

DATA FIDELITY

Reducing live state-estimation uncertainty across unmonitored distribution networks.

PREDICTIVE AI

GNN-powered models that forecast vegetation risks and systemic cascades.

DIGITAL TWINS

Physics-grounded replicas of the LV network simulating voltage and loss in real-time.

OUR AI-NATIvE PRoDUCTS

VolteGrid™

VolteGrid™ is an AI-native grid intelligence product that predicts and prevents cascading failures in DER-dominated power systems. It fuses live telemetry with physics-informed stochastic models and a graph neural network cascade surrogate, unified by a real time reliability index. 

MDTDRILL.png
GridScout™

Active Measurement for Grid Observability

 

A GNN-guided robot sensor fleet that learns where to measure next, turning blind spots in the network into live, high confidence state estimates within a fixed fleet budget.

HyperVerde™

Hyperspectral AI for Vegetation Risk 

 

HyperVerde™ fuses hyperspectral satellite data to predict vegetation encroachment and wildfire ignition risk along grid corridors, up to 90 days ahead, at near-zero marginal cost.

D-Twin™

Physics-solved, not Approximated

D-Twin™ is a distribution-grid digital twin: a live, physics-grounded replica of the MV/LV network that runs a full power flow on every scenario commanded. 

"Our mission is to build the cognitive layer for the world's most critical infrastructure"

bottom of page