ekoIntelligence uses behavioral analytics to detect greenwashing and assess corporate ESG performance by analyzing historical actions and commitments. Our platform integrates decades of regulatory filings, enforcement actions, and environmental violations to provide deep insights into ecological, social, and governance accountability.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional ESG frameworks often rely on self-reported data, which can be manipulated or selectively disclosed, allowing companies to engage in greenwashing without true accountability. This reliance on superficial metrics overlooks historical impacts and behavioral patterns, creating blind spots for stakeholders making critical decisions.
Solution
ekoIntelligence provides behavioral analytics to expose greenwashing and assess corporate ESG performance by analyzing historical actions and commitments. Our platform delivers deep insights into ecological, social, and governance accountability by integrating decades of regulatory filings, enforcement actions, and environmental violations. This allows organizations, investors, and auditors to make informed decisions and ensure genuine sustainability by moving beyond superficial ratings to a deeper, evidence-based analysis of corporate behavior.
Target Audience
Primary customers include investors, asset and wealth managers, auditors, procurement teams, marketing departments, and government/regulatory bodies seeking to verify corporate sustainability claims and mitigate ESG-related risks.
Features
- AI-driven platform for behavioral analytics to detect greenwashing and assess ESG performance.
- Historical harm analysis integrating regulatory filings, legal actions, environmental violations, NGO reports, and whistleblower disclosures.
- DEMISE™ framework for evaluating ESG statements across six dimensions: Domain, Entities, Motivation, Impact, Statement, and Ethics.
- Behavioral pattern recognition to identify misalignments between public commitments and organizational actions.
- Knowledge graph structuring data into meaningful relationships to analyze influence networks and credibility.
- Entity resolution for canonicalizing multiple references to a single identity, ensuring comprehensive and accurate analysis.
- Rigorous data processing and validation, including scraping, cleaning, and proprietary LLM categorization with citation-based verification.
- Executive dashboards providing visibility into historical impacts, credibility scores, and supplier risk profiling.
- API integration for seamless incorporation into existing portfolio screening and procurement processes.
- Tools for auditors to validate ESG claims against independently-sourced historical data, reducing liability and enhancing audit integrity.