- Digital Twin
A Live, Executable Model of Your Energy System
AmpVerve’s Digital Twin continuously mirrors the real-world state of EVs, chargers, batteries, transformers, and distributed energy assets.
It operates in real time, ingesting live telemetry, validating execution, and informing autonomous control decisions across the entire system.
This is not an offline model. it is the active intelligence layer underpinning optimisation, execution, and verification
- Continuous Health & State Monitoring
Continuous Health & State Monitoring
The digital twin maintains a live operational state for every asset, continuously updating health scores, detecting anomalies, and surfacing degradation trends before they impact performance
Real-Time Telemetry & Anomaly Detection
Sub-second telemetry ingestion enables continuous validation of asset behaviour. Deviations from expected performance are detected automatically and fed into optimisation and trust workflows
Physics-Based Thermal Modelling
Digital twins model thermal behaviour of transformers and batteries under live and projected loads, enabling safe dispatch decisions and early risk detection
Battery Ageing & Degradation Intelligence
Track state of health, cycle impact, and remaining useful life. Dispatch strategies automatically balance performance, availability, and long-term asset protection.
- Continuous Validation & Scenario Analysis
Validate decisions before and during execution
The digital twin supports scenario analysis and validation workflows that allow teams and autonomous agents to evaluate outcomes before executing control actions on physical assets
Demand & Peak Optimisation Analysis
Evaluate peak reduction strategies, tariff exposure, and battery dispatch outcomes across different operating conditions.
- Observed deployments achieve significant peak demand and cost reductions
Fault Impact & Resilience Analysis
Assess how equipment failures, outages, or degraded assets affect system-wide performance and resilience. Identify vulnerabilities before they occur in production.
- Proactive maintenance planning
Grid Event & Market Response Modelling
Evaluate responses to grid signals, price volatility, and carbon intensity changes. Optimisation agents use these insights to adapt dispatch strategies in real time.
- Optimised dispatch strategies
- Start Optimising Today
Ready to Operate Your Energy System Intelligently?
Deploy a live digital twin that continuously validates decisions, protects assets, and enables autonomous optimisation across fleets, campuses, microgrids, and consumer environments.
- Enterprise onboarding available
- 14-day pilot program
- Production deployments supported globally