GreenCode
GreenCode: AI/ML Driven Software Optimisation to Reduce Cost and Climate Impact
Project 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.
https://greencode.ai/
Austria
BEIA GmbH
Austria
Denmark
Aalborg Universitet
Denmark
Edora A/S
Denmark
Finland
University of Oulu
Finland
Germany
Fraunhofer IESE
Germany
Itemis AG
Germany
Siemens AG
Germany
Tokiwa Software GmbH
Germany
TWT GmbH Science & Innovation
Germany
University of Augsburg
Germany
Portugal
Romania
Siemens SRL
Romania
Spain
Panel Sistemas
Spain
Türkiye
T2 Software
Türkiye
VBT Software A.S.
Türkiye
United Kingdom
Digital Tactics Ltd.
United Kingdom
KAN Engineering Ltd.
United Kingdom
King's College London
United Kingdom