AAMIR.KHAN

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AI data platform01 / 2026

Cleartraced

AI ESG and financial data extraction

Role
AI Engineer
Year
2026
Stack
AI agents / Web crawling / RAG / Vector database / PostgreSQL / Document extraction
Cleartraced dashboard showing confidence-scored ESG datapoints traced to their source documents
300+
Fields extracted per company
100%
Figures traceable to source

Problem

Banks waste weeks pulling ESG and financial figures out of company reports by hand. The data lives in annual reports, sustainability statements and regulatory filings, and extracting it manually is slow, expensive and hard to audit.

Approach

For a given company and year, crawler agents locate the right disclosures and cross-check them for consistency. Extractor agents then pull the exact data points each client needs, from revenue and EBIT to carbon emissions and board makeup, across more than 300 fields. A multi-layer algorithm scores every value for confidence, and an analyst verifies it before delivery.

Outcome

Weeks of manual analyst work now run as an agent pipeline with human verification at the end, and every figure stays traceable to its source. In production with clients including Millistream and Global Child Forum.VerifiedProduction system built at Metasense Technologies, 2025 to 2026. Client names as stated in the case study.

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