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GreenCode: Decarbonising Computing at Scale

GreenCode is a first of a kind software decarbonisation pipeline that aims to reduce the climate impact of computing at scale.

We address the root cause of IT industry emissions: The efficiency of software and how it is run.

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Sustainability metrics chart
Software developers collaborating
Artificial intelligence illustration

Benefits

GreenCode reduces the TCO and climate impact of IT through the quality and performance optimisation of software. Datacentres, hospitals, factories, electric vehicles and more achieve increased sustainability and reliability through optimised software solutions.

Sustainable software practices visualisation
#Climate

Reduced Carbon Footprint

Energy-efficient data centre with rows of server racks
#Climate

Reduced Energy Use

Productive professional office environment
#Operational

Increased Productivity

Mixed team of cloud and AI software engineers collaborating
#Operational

Accelerated Software Development

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Key Features

GreenCode benefits software developers, owners and commissioners by helping them to deliver reliable, energy efficient, software systems.

AI-themed illustration

Comprehensive
Codebase Mapping

Green Optimised
Generative AI

Automated
Software Maintenance

Energy
And Cost
Reduction

Automated
Performance Testing

Developer
Sustainability Training

Green Software
Certification

Sustainability
Led Code Quality Assessment

Infrastructure Carbon Footprint Assessment

Expert Views

Industrial and academic views on green software and sustainable computing

Gartner identifies energy-efficient computing as one of the top strategic tech trends that will help CIOs and IT leaders shape the future with responsible innovation in 2025.

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The power demands of data centers will continue to increase exponentially over the next five years. This is a huge issue for both the planet and data center builders and operators. Data centers exist to run software (including distributed ledger technology and AI). It will become increasingly important to understand and optimize the performance of both software and hardware to ensure power and sustainability considerations are met.

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Artificial intelligence is ushering in a new era of infrastructure and energy. As data centres and compute are built at scale, they are driving an unprecedented demand for energy. In turn, the world is witnessing a massive mobilisation of capital towards clean technology. Geothermal, solar, wind and new forms of ocean power are being developed. But one of the most significant implications is that nuclear is back.

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IT impacts sustainability in many ways and in 2024 the leading consideration for most IT organisations is their carbon footprint.

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