Run AI.
Save the Planet.
The world’s first platform that monitors, optimises, and governs the carbon footprint of your AI workloads—delivering measurable sustainability without compromising performance.
945 TWh
Projected global data centre electricity by 2030
10-25%
Energy reduction on covered workloads
THE CHALLENGE
AI is changing the world.
It's also consuming it.
Data centre electricity demand will more than double by 2030, with AI workloads driving unprecedented energy consumption. The International Energy Agency projects global data-centre power demand growing 15% annually—over four times faster than total electricity demand.
THE SOLUTION
Sustainability as
first-class metric
SustainaiOps delivers end-to-end visibility, optimisation, and governance for the energy and carbon footprint of AI workloads across multi-cloud and hybrid estates.
Monitor
Real-time energy, carbon, and efficiency metrics across your entire AI infrastructure.
Profile
Agent-level carbon attribution and behavioural analytics for every AI workload.
Optimise
Carbon-aware scheduling that routes workloads to greener regions and time windows.
Report
Audit-ready ESG reports with transparent methodologies for UK/EU compliance.
PLATFORM CAPABILITIES
Built for the
AI-native enterprise
Purpose-built modules that work together to transform how you operate AI infrastructure—sustainably.
Eco-Dashboard & Analytics
Real-time energy, carbon, and efficiency metrics across your entire AI infrastructure.
Carbon-Aware Workload Profiling
Behavioural fingerprints tracking reasoning depth, agent recursion, tool-call mix, and efficiency baselines per model.
Automated Optimisation Engine
Policy-driven placement routing jobs to lower-carbon windows and regions, with right-sizing and bin-packing recommendations.
Sustainability Governance
Carbon budget contracts per workload/team, zero-carbon drift detection, and audit trails for every optimisation decision.
Carbon-Adaptive LLM Compiler
Optimises prompts and chain-of-thought to reduce energy while maintaining quality through summarisation, caching, and model routing.
Multi-Cloud & Hybrid Integration
Connect AWS, Azure, GCP, Kubernetes clusters, and on-prem GPU infrastructure with single-pane visibility.
ABOUT US
Pioneering
Green AI operations
SustainaiOps was founded on a simple premise: as AI becomes one of the largest new drivers of global energy consumption, organisations need dedicated tools to operate responsibly. We bridge the gap between AI infrastructure excellence and environmental stewardship.
Our platform introduces sustainability as a first-class optimisation metric—aligned with emerging “Green AI” methodologies and UK/EU regulatory expectations. Unlike generic cloud tools, SustainaiOps provides agent-level energy attribution, behavioural carbon profiling, and automated governance workflows purpose-built for the AI-native enterprise.
Our Vision
A world where AI innovation and environmental sustainability are not competing priorities—but unified through intelligent infrastructure management.
Our Mission
A world where AI innovation and environmental sustainability are not competing priorities—but unified through intelligent infrastructure management.
Our Innovation
Patented techniques including behavioural carbon profiling, agent-level attribution, and the Carbon-Adaptive LLM Prompt Compiler™—unavailable elsewhere.
GET IN TOUCH
Ready to make your
AI sustainable?
Join the waitlist to be among the first to access SustainaiOps. We’re building the future of sustainable AI infrastructure—and we’d love to have you on board.