Advanced ESG Analytics
ESG reporting can be a signifcant challenge. Companies strive to demonstrate their commitment to sustainability, ethical practices, and responsible governance while also complying with complex regulatory standards and legislation.
Wiimer's Advanced ESG Analytics platform allows companies to design and implement environmental, social, governance and energy transition strategies more quickly, holistically and cost-effectively.
Data Entry
Data entry based on ESG KPIs selected and calculated according to applicable legislation and internationally recognized best practices and standards.
Illustration of the data entry platform - Talent Retention KPIs | Fictional data
ESG Analytics Platform
The ESG Analytics Platform presents the analyses of ESG KPIs, and provides organizations with intelligence and valuable strategic insights on ESG performance.
Illustration of the ESG Analytics Platform | Fictional data
AI Algorithm for ESG
The AI algorithm developed by Wiimer using LLMs (large language models) processes the organization's ESG data and supports the analysis of corporate performance and the planning of ESG initiatives.
co-financed by
Project Objectives: Promotion of business models, products or digital services that contribute positively to the climate transition through high efficiency in the use of resources; promotion of business models, products or digital services that enable the reduction of pollution impacts; promotion of business models, products or digital services that foster the circular economy; promotion of business models, products or digital services characterized by the use of Open Data or Artificial Intelligence; promotion of business models, products or services with a clear digital component that are environmentally friendly and do not cause significant harm to any environmental objective within the meaning of Article 17 of Regulation (EU) 2020/852 of the European Parliament and of the Council – the EU Taxonomy Regulation