Cleartraced provides an AI-powered ESG data platform that converts scattered public company disclosures into structured, source-traceable data for financial institutions. The platform extracts and normalizes data from annual reports, sustainability filings, and company websites in any language, with every datapoint verified by human experts and linked to its exact source page and line. Its continuous monitoring tracks new disclosures automatically, ensuring data remains current without manual intervention.
Funding
Funding not disclosed
Founders
Product
Problem
The legacy ESG data market relies on in-house teams or traditional providers who manually extract data from public disclosures, resulting in high costs, limited coverage, and poor data quality. These processes are error-prone, unscalable, and often lack source traceability, leaving financial institutions with unreliable data and compliance risks.
Solution
Cleartraced provides an AI-powered ESG data service that automatically sources, extracts, and structures public company information into accurate, standardized, and fully traceable data. The platform scans official company webpages and reports, processes documents in any language, and normalizes units and currencies for cross-company comparability. Every datapoint passes through a multi-stage validation pipeline with automated anomaly checks and human expert verification before delivery. Data is delivered via platform, API, or file export, with each figure linked to its original source page and line for full auditability.
Target Audience
Primary customers are financial institutions including banks, investors, governments, and global benchmark providers that need reliable, auditable ESG data for risk management, compliance, and investment decisions.
Features
- AI pipeline extracts data from text, tables, charts, and images across annual reports, sustainability reports, public filings, policies, and company websites in any language
- Multi-stage validation including confidence scoring, statistical range checks, year-over-year consistency, unit verification, and LLM cross-validation, with human analysts reviewing flagged datapoints
- Normalization engine harmonizes units and currencies (e.g., kg to tCO₂e, SEK to EUR) and maps values into common taxonomies like ESRS, GRI, and EBA frameworks
- Continuous monitoring tracks report release dates and automatically picks up new or updated disclosures
- Source traceability for every datapoint, linking to the exact page and line in the original document
- Delivery options include a search-and-compare platform, REST API, and CSV/XLSX/JSON file exports