AIZEN provides Evidence Intelligence that automates the discovery and verification of ESG claim evidence for finance, M&A, procurement, and audit workflows. By analyzing public and disclosed data, the platform maps claims to European reporting standards, builds an evidence graph, and scores proof strength to highlight gaps and risks. It is currently targeting procurement in construction and infrastructure, offering traceable verification for Green Claims Directive compliance.
Funding
Funding not disclosed
Founders
Product
Problem
ESG reports often contain sustainability claims without verifiable supporting evidence, forcing investors, auditors, and procurement teams to manually search scattered documents and incur costly assurance processes.
Solution
AIZEN’s Evidence Intelligence platform automates the discovery and verification of ESG claim evidence by analyzing both disclosed and public data sources. It automatically identifies gaps between sustainability claims and verifiable documentation, maps each claim to the relevant European Sustainability Reporting Standards (ESRS), and constructs traceable provenance graphs that link KPIs to source records. The system assigns credibility scores to each claim, highlighting inconsistencies and potential risks. These insights support finance and M&A due diligence, procurement tender evaluations, and audit preparation, delivering audit‑grade traceability for ESG information. The platform is initially targeted at construction and infrastructure procurement but is designed to serve any sector requiring reliable ESG verification.
Target Audience
Primary users include finance and M&A teams conducting ESG due diligence, procurement professionals evaluating supplier claims in construction and infrastructure projects, and auditors preparing ESG compliance reports.
Features
- Automated gap detection that surfaces missing or contradictory evidence behind ESG claims
- Direct mapping of claims to European reporting standards with traceable references
- Evidence graphs visualizing the provenance of KPIs, source documents, and external records
- Credibility scoring that quantifies proof strength and flags high‑risk claims
- Integration of public data ecosystems to enrich verification with external records
- AI‑driven analysis that scans regulations and extracts compliance insights from uploaded policies and reports