The energy operating system for data centres.
We help IT infrastructure owners slash costs, boost efficiency, and hit sustainability goals.
Our solution optimises IT infrastructure power draw within limits, dynamically balancing demand to maximise utilisation and performance.
Request a DemoEvery Watt Counts.
When power is constrained, efficiency drives growth.
↑ 30%
Compute Density
Increase compute density within existing power constraints (up to ~30% in certain environments)*.
Deploy additional capacity without expanding power infrastructure.
↓ 25%
Energy Consumption
Reduce energy consumption for a given compute workload (up to ~25% under specific conditions)*.
Lower operating costs with controlled performance impact.
↓ 40%
Peak Power Demand
Reduce peak power demand (up to ~40% in defined scenarios)*.
Operate reliably within grid constraints with controlled performance impact.
↓ 330 Tonnes CO₂e
Carbon Emissions
Reduce carbon emissions per MW of capacity (up to ~330 tonnes CO₂e, depending on energy mix)*.
Lower Scope 2 emissions through more efficient power utilisation.
* Based on modelling and observed results in specific environments. These figures are illustrative and do not represent typical outcomes. Actual results will vary depending on workload characteristics, infrastructure, and operating conditions.
Technology
Orchestrates compute infrastructure for higher density and lower energy use, based on policy and grid conditions.
The Sustain AI Energy Operating System orchestrates compute and infrastructure within strict power constraints, dynamically aligning IT demand with grid conditions to reduce energy use. Transforming IT infrastructure from passive consumers into active grid stabilisers. This enables additional compute capacity without expanding power infrastructure, enabling more sustainable, higher-density computing at scale.
It is designed for power-intensive environments including AI and HPC workloads, private cloud, and resource-constrained edge deployments. By coordinating compute, power, and cooling systems, it enables infrastructure to adapt to run-time conditions, for example, increasing throughput when renewable energy is abundant or reducing load during periods of grid stress.
- Integrates with compute platforms, facility control systems, and utility signals through standard APIs & interfaces.
- Coordinates compute behaviour with grid conditions and operational policies.
- Enables additional compute capacity without expanding power infrastructure.
Ecosystem
How stakeholders benefit from the Sustain AI Energy Operating System platform.
Colocation Providers
Maximise compute capacity for your customers within shared power constraints.
Enterprise
Scale compute capacity and control costs without expanding power infrastructure or modifying application code.
Utility Providers
Actively balance grid demand by enrolling controllable data centre load.
Managed Service Providers
Deliver scalable compute with a new capability to balance performance, cost, and energy.
Server Manufacturers
Deploy more compute capacity within existing power constraints.
Leadership & Advisors
Our team combines deep expertise in data centre operations, energy management, orchestration, systems design, AI and HPC.
Join Our Team
Redefine how the world powers compute.
Build systems that expand capacity, reduce energy use, and drive a more efficient digital future.
Apply NowReady to see Sustain AI in action?
Understand how energy-aware orchestration can activate additional capacity and reduce operational constraints in your infrastructure.
Request a Demo