Algorithm modules
Add scheduling, forecasting, pricing, carbon or fault-analysis capability to an existing platform.
Optimisation, integration and measurement capabilities across EV charging, renewable energy, storage, distributed assets and ESG data.
Schedule charging against tariffs, carbon intensity, site capacity, vehicle energy need and departure constraints.
Coordinate solar, storage, building load, grid imports and EV charging behind the meter.
Model charge, discharge and reserve decisions against site, tariff and battery constraints.
Connect routes, duty cycles, vehicle SoC and energy constraints into an operational transition plan.
Create portfolio visibility and coordinated dispatch across sites and asset types.
Forecast load, solar, EV demand, peak exposure and future infrastructure utilisation.
Detect fault patterns and session anomalies before they become operating problems.
Connect mixed assets and operational systems through project-specific adapters and APIs.
Build a measurable transition pathway across energy, fleet and connected infrastructure.
Add scheduling, forecasting, pricing, carbon or fault-analysis capability to an existing platform.
Connect charging, renewable assets, energy systems and enterprise software.
A configurable energy and infrastructure control layer for manufacturers, CPOs and energy businesses.
Models, proof-of-concept simulations and technical validation for complex energy transition use cases.
Capacity analysis, energy baselines, data architecture and evidence-based transition roadmaps.
Ongoing monitoring, model tuning, anomaly detection and operational or ESG analysis.