AI/ML Driven Software Optimisation to Reduce Cost and Climate Impact. A first-of-a-kind software decarbonisation pipeline that reduces the climate impact of computing at scale.
Addressing the root cause of IT emissions: software efficiency.
The IT sector produces 860 million tons of CO2 per year -- more than the aviation industry. 70% of all software is legacy code carrying technical debt and energy waste. GreenCode tackles this at the source.
The Problem
The world's IT infrastructure consumes a rapidly growing share of global energy, predicted to reach 20% by 2030. The root cause is not hardware -- it is how software is written, maintained, and deployed. Legacy codebases, inefficient algorithms, and unoptimised infrastructure create compounding energy waste at scale. Current approaches focus on hardware efficiency and renewable energy supply, but ignore the software layer entirely.
The Solution
GreenCode builds a software decarbonisation pipeline that uses generative AI, sustainability best practice, stress testing, and software quality assurance to optimise software for energy efficiency. The pipeline maps codebases for energy hotspots, applies AI-driven refactoring, validates improvements through automated performance testing, and certifies the results. The outcome: reduced carbon footprint, developer productivity gains, increased reliability, and reduced operating costs.
"GreenCode addresses the elephant in the room: software itself. You can power your data centre with 100% renewables, but if your code is inefficient, you are still wasting energy at scale. We need to optimise what runs on the hardware, not just the hardware it runs on."
Nine pillars of software decarbonisation.
GreenCode delivers a comprehensive pipeline covering codebase analysis, AI-driven optimisation, performance validation, developer training, and green certification.
Comprehensive Codebase Mapping
Deep analysis of software architectures to identify energy hotspots, inefficient patterns, and optimisation opportunities across entire codebases.
Green Optimised Generative AI
AI-driven code refactoring that targets energy efficiency -- transforming wasteful patterns into optimised implementations while preserving functionality.
Automated Software Maintenance
Continuous automated maintenance that keeps codebases lean, removes technical debt, and prevents energy waste from accumulating over time.
Energy and Cost Reduction
Measurable reductions in energy consumption and cloud compute costs through targeted software optimisation -- with 40%+ savings predicted.
Automated Performance Testing
Stress testing and benchmarking that validates energy improvements and ensures optimised code meets reliability and performance standards.
Developer Sustainability Training
Upskilling programmes that embed energy-aware coding practices into development teams, creating lasting cultural change in how software is built.
Green Software Certification
A certification framework that provides verifiable evidence of software energy efficiency -- giving organisations a credible sustainability credential.
Sustainability Led Code Quality Assessment
Code quality assessment that prioritises energy efficiency alongside traditional metrics like maintainability, readability, and test coverage.
Infrastructure Carbon Footprint Assessment
End-to-end carbon footprint analysis of IT infrastructure -- from cloud configurations and container orchestration to CI/CD pipelines and deployment patterns.
The scale of the problem -- and the opportunity.
Tons CO2/Year
Annual carbon emissions from the global IT sector -- greater than the entire aviation industry.
Legacy Software
Of all software worldwide is legacy code carrying technical debt and compounding energy waste.
Global Energy by 2030
Predicted share of worldwide energy consumption from IT infrastructure within the next decade.
Predicted Savings
Energy and cost reduction achievable through systematic software optimisation and green coding practices.
21 partners across 8 countries.
A consortium of leading universities, research institutes, and technology companies supported by 6 national funding agencies: InnovationsFonden, DLR, ANI, CDTI, TUBITAK, and Innovate UK.
Related R&D Projects
View all R&D projects across Eureka, Horizon Europe, and internal research.
GIGI
Generative AI Inference Governance and Impact Measurement. Provider-agnostic AI usage control plane for enterprises.
GLEAM
Green Learning for Eco-Conscious Medical AI. Energy-efficient AI for medical imaging with federated learning.
Horizon CSA
Leveraging AI to optimise scientific computing for performance and energy efficiency. In development.
Interested in GreenCode?
Visit greencode.ai for the latest project updates, or get in touch to discuss collaboration opportunities.
AI software engineering and innovation
for ambitious organisations