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Q-ESG
Innovative digital platform for monitoring and forecasting the ESG impact of projects and investments.
Watch the videoAbstract
Q-ESG is a project by the Idea-Re and Convergence partnership, co-funded by the Fourth BI-REX Call (Call 4). The project develops an innovative digital platform for monitoring and forecasting the ESG impact of projects and investments, responding to the growing need for approaches based on process digitalisation and data valorisation for the assessment of social and environmental impact.
Details
- Partners: Idea-Re S.r.l., Convergence
- Eligible expenditure: € 347,000.00
- Public contribution: € 151,937.50
Project objectives
- Monitor and forecast the ESG impact of projects and investments in the short, medium and long term.
- Support investment planning in light of the reform of the Public Procurement Code.
- Automate ESG monitoring and reporting processes through integration with CRM systems.
Partnership
The platform is based on Idea-Re S.r.l.'s advanced systems and integrates sophisticated Artificial Intelligence algorithms for the definition of innovative ESG indicators. The technological core is Quantum Decision Making: an approach that leverages the mathematical framework of quantum mechanics to model human cognitive processes, faithfully automating decision-making assessments. This paradigm is consistent with the human-centric model of Industry 5.0. The algorithmic outputs automatically drive monitoring and reporting workflows through CRM integration.
Source of funding
- Funding instrument: Fourth BI-REX Call - Selection of Technological Innovation Projects (Call 4)
- Granting body: BI-REX - Big Data Innovation & Research Excellence
Partner
Expected impacts and results
- New ESG indicators based on quantum AI algorithms.
- Automated decision-making process in a human-centric perspective (Industry 5.0).
- Greater efficiency and quality in ESG monitoring and reporting processes.
- Support for compliance with the reform of the Public Procurement Code.
- Automated reporting workflows through native integration with CRM systems.
Attachments
Gallery
Video
Additional information
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Publication date: 20/05/2023 Last updated: 05/10/2026 14:17