On October 19th, 2024, TIMETOACT GROUP Austria hosted the Hackathon “Sustainability meets LLMs”, organized by AIM – AI Impact Mission. This event brought together talented minds from JKU, TU, Universität Wien, WU, and industry, all focused on creating innovative Retrieval-Augmented Generation (RAG) solutions within one day to tackle real-world sustainability challenges using public ESG and sustainability reports. In his insightful keynote, Daniel Weller (Senior Software Developer & AI Expert at TIMETOACT) set the scene by highlighting key facts and embedding them within the broader context of ESG reporting, offering participants a compelling foundation for the day’s work. With a focus on impactful AI applications, participants addressed key issues like greenwashing detection, ESG report relevance mapping, and compliance with the European Green Deal.
Datum
05.11.2024
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The Top 3 Teams
First Place: SAM – Sustainability Advanced Model
The winning team, nexus. Group AI, developed SAM, an AI-powered ESG reporting platform designed to help companies streamline their sustainability compliance. SAM leverages RAG and NLP to generate real-time ESG compliance scores and insights, aligning with European Green Deal goals. By utilizing data from multiple sources and providing an intuitive dashboard, SAM empowers businesses to manage sustainability proactively.
Read more about the winning project here →
Second Place: Trustpilot for ESG
This solution tackled greenwashing by detecting misleading claims in ESG reports. The NightWalkers designed a scalable tool that assigns trustworthiness scores based on various types of greenwashing indicators, including unsupported claims and inaccurate data. This tool is especially valuable for investors, NGOs, and consumers seeking to hold companies accountable for their sustainability claims.
Read more about Trustpilot for ESG here →
Third Place: ESG Relevance Mapping
The Venturers team created an architecture to identify the relevance of each section. Their prototype classified sentences based on its content, making it easier to identify concrete facts versus promotional, vague statements. This relevance map helps users quickly navigate reports, enabling standardized comparisons between companies and incentivizing clarity in ESG reporting.
Read more about ESG relevance mapping here →
We want to acknowledge the incredible efforts of all participating teams, who demonstrated creativity, technical skill, and a strong commitment to sustainability! Each team brought unique insights and learned valuable lessons throughout the hackathon, contributing to an inspiring event that showcased the potential of AI to drive positive environmental and social impact.