Prove the power system in simulation before you build it for real.
We assess the load, size the renewables and storage against it, run the whole design as a digital twin over a ten-year horizon, and hand you the report that says whether it works — then keep it running with forecasting, anomaly detection and adaptive control.
Four things every project gets from us.
Whether the site is a 50 MW data centre or a single industrial feeder, the work rests on the same four pillars.
Digital Twin
A running model of your load, generation and storage — driven by real weather data, dispatched hour by hour, and stress-tested over years rather than days.
Applied AI
Forecasting, anomaly detection and adaptive dispatch built for energy data — attention models, condition monitoring, deep reinforcement learning and MILP optimisation.
Assessments
Load, renewable resource and storage assessed on measured data, then sized against each other so the system meets its reliability target instead of a rule of thumb.
Reports
Every number traceable to the model that produced it — sizing, year-by-year trajectory, full cost analysis and the standards the design was checked against.
Two ways in, depending on what exists already.
Four verticals, one analytics engine.
The same acquisition, forecasting, dispatch and feasibility stack, tuned to the load it has to serve.
Data centre
Hyperscale and colocation load, 24/7 critical supply, tiered redundancy.
Microgrid
Grid-connected, islandable or fully off-grid community and campus systems.
Residential
Homes, estates and apartment blocks with rooftop PV and behind-the-meter storage.
Industrial
Process loads, heavy motor starting, power quality and demand-charge exposure.
Research-grade methods, industry-grade deliveries.
The methods come from published research — transformer forecasting, deep reinforcement learning, MILP optimisation. The deliverable is something that survives commissioning and keeps performing on site.
About the team →