Ecosystem
Backed by a leading technology ecosystem
Heterodyne builds AI-native products that help network operators understand, predict and prevent cascading failures in DER dominated networks. As solar, storage, EVs and flexible demand reshape the network, legacy resilience models no longer hold.
Our products combine real-time telemetry, predictive analytics and physics-informed modelling, giving operators clear visibility of emerging risks, binding constraints and resilience investment priorities.
Reduces state-estimation uncertainty across unmonitored distribution networks.
Forecasts vegetation encroachment and systemic cascades with graph neural networks.
Replicates the LV network in physics to simulate voltage and losses in real time.
Four products, each anchored to network physics and validated on published operational data from Great Britain’s network operators.
Predicts, quantifies and helps prevent cascading failures in DER dominated networks. Fuses live telemetry with physics-informed stochastic models and a graph neural network cascade surrogate, resolved into a single real-time reliability index.
Explore →A GNN-guided robotic sensor fleet that learns where to measure next, converting network blind spots into high-confidence state estimates within a fixed fleet budget.
Explore →Fuses hyperspectral satellite imagery to forecast vegetation encroachment and wildfire-ignition risk along grid corridors, up to 90 days ahead, at near-zero marginal cost.
Explore →A distribution-grid digital twin: a physics-grounded replica of the MV/LV network that solves a full power flow for every scenario.
Explore →A voltage-driven cascade, not an energy shortage, took mainland Spain and Portugal from a normal spring afternoon to total collapse in roughly five seconds. See how the failure propagated upward from a distribution layer saturated with inverter-based generation.
Read the analysis →Heterodyne is deploying live grid intelligence with network operators on real networks
Consult us →The grid, in motion