Name/Tagline
AI/ML Driven Software Optimisation to Reduce Cost and Climate Impact

Description
The climate and economic impact of sub-optimal software is a high-scale problem, that poses a further societal risk in times of energy stress. The GreenCode project addresses the problem of software and platform optimisation by leveraging specialised generative AI and Machine Learning to optimise and certify software for energy efficiency, enhancing developer productivity, code longevity, and ICT system value. Deployable to new and legacy systems, it performs quality assurance, modernisation, maintainability, documentation, and security checks, reducing climate impact while increasing economic value for businesses, public institutions, and end users. 

Responsible
Zita Vale

Project Coordinator
–