Structure ESG disclosures and map metrics to frameworks for consistent reporting.
ESG analysis breaks at scale. Agentic AI is required to convert unstructured disclosure narratives into rigorous, auditable data without relying on estimated proxies.
Critical metrics are buried in PDF sustainability reports, proxy statements, and supply chain audits. Manually locating specific data points (e.g., Scope 3 emissions) across thousands of pages is slow and error-prone.
Mapping data to constantly evolving standards (CSRD, TCFD, SASB, GRI) requires deep expertise and endless manual tagging. Teams struggle to keep up with regulatory fragmentation.
Analysts often rely on company self-reported highlights. Detecting discrepancies between a "Net Zero" pledge and actual capital expenditure requires cross-referencing capabilities that humans cannot scale.
ESG ratings are often based on annual data that is 12 months old. This latency prevents teams from managing real-time reputational risks or supply chain controversies.
Redefining sustainability operations with Agentic AI – where data integrity meets auditability, speed, and standardization.
Reimagine sustainability measurement with AI agents that work autonomously to ingest, classify, and normalize data from corporate reports, news feeds, and NGO databases. The system intelligently distinguishes between quantitative metrics and qualitative aspirations, structuring data into a unified model regardless of how the company reported it.
With built-in unit conversion, framework alignment (auto-mapping to CSRD/ISSB), and historical tracking, achieve investment-grade accuracy and instant comparability. Gain real-time visibility into disclosure gaps and carbon intensity trends. Beyond data gathering, the system delivers intelligence by flagging inconsistencies between stated policies and actual operational behavior, providing a "truth check" on corporate claims.
Extract emissions data, diversity statistics, and governance policies without manual scraping. AI-driven accuracy that scales seamlessly with your coverage universe.
reduction in data collection time
trace-to-source for every metric
increase in portfolio coverage
framework mapping errors
Watch how disclosures are extracted, aligned, and verified—supporting accurate and compliant ESG reporting.
Maintain absolute audit defense by linking every extracted number directly to the specific page and sentence in the source document.
Auto-scan portfolios against new regulations (e.g., CSRD) to instantly identify companies missing required disclosures.
Analyze thousands of private supplier documents to estimate Scope 3 risks without waiting for standardized vendor surveys.
Create a shared source of truth where ESG analysts and Portfolio Managers view the same validated data, removing subjective interpretation.




Find clarity on our solutions, capabilities, and how we can support your business.
The solution handles regulatory filings, investor reports, earnings summaries, financial statements, and disclosures across languages and formats.
Each extracted data point is linked back to the source document with timestamps and coordinates, ensuring full traceability and simplified audits.
Yes, the platform supports seamless API integrations with CRMs, databases, and document repositories including global regulatory registries.
Book a 30-minute consultation to find the best starting point