Data centres across Sydney and Melbourne are facing an energy infrastructure crisis. Grid connections take years. Costs are rising. Uptime is at risk. We're building something to change that.
In Sydney and Melbourne, data centre operators face multi-year approval timelines and capacity bottlenecks on aging NEM infrastructure — delaying projects and forcing costly interim arrangements.
Training runs and inference workloads generate instantaneous load spikes that legacy control systems cannot anticipate or manage — placing uptime SLAs at constant risk.
Co-located solar and wind introduce bidirectional power flows and variability that traditional energy management systems weren't designed to handle.
Peak demand charges, grid tariffs, and inefficient dispatch decisions compound into energy bills that represent an increasingly significant share of operational costs.
We're building an intelligence layer that sits between your energy assets and your operations team — continuously reading, analysing, and surfacing the insights your operators need to make better decisions, faster.
Continuous visibility across every energy asset — solar, storage, grid connection, and compute load — in one unified view.
Models that improve over time, building a precise understanding of your site's unique energy behaviour and demand patterns.
Explainable recommendations with the reasoning behind each one — so your team acts with confidence, not guesswork.
Based on published research and comparable deployments — these are the ranges operators can reasonably target.
AI-optimised dispatch reduces over-provisioning and curtailment losses — lowering your cost per rack without compromising availability.
Supported by IEEE research on AI microgrid optimisationDemand charges can represent 30–40% of electricity bills. Better forecasting and smarter dispatch reduces unmanaged peaks over time.
Outcomes vary by site — baseline audit requiredPredictive anomaly detection flags potential fault conditions and grid instability ahead of time — giving operators a window to respond.
Response time depends on operator protocolsSmarter scheduling of co-located solar and BESS increases self-consumption and reduces dependence on grid import during peak tariff periods.
Subject to asset configuration and site conditionsGridForce AI is in early development. We're looking for a small group of data centre operators, energy managers, and infrastructure investors to help shape the platform — before it ships.
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