Document Genome is a document intelligence platform that consolidates unstructured ESG data from diverse sources into a unified, searchable database, enabling teams to efficiently extract and analyze qualitative information. This technology addresses the inefficiencies of manual data processing, allowing organizations to enhance productivity and ensure accurate, traceable reporting for regulatory compliance.
Funding
$760K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
ESG data, unlike financial data, is largely qualitative and narrative, residing in unstructured documents. Extracting and analyzing this data from diverse sources is a manual, time-consuming process, creating inefficiencies for teams needing to ensure accurate and traceable reporting.
Solution
Document Genome is a document intelligence platform that consolidates unstructured ESG data from various sources into a unified, searchable database. The platform employs text sequencing techniques to capture and aggregate narrative information across complex documents, enabling users to efficiently extract insights. Its no-code interface allows for instant insight with an audit trail, facilitating compliance and diligence requirements. By automating the consolidation and categorization of text and scanned document data, Document Genome enhances productivity, accuracy, and traceability in ESG reporting.
Target Audience
The primary target audience includes financial service firms, ESG analysts, and regulatory compliance teams that require efficient and accurate extraction and analysis of ESG data from large volumes of unstructured documents.
Features
- Automatically consolidates unstructured text and scanned document text data into a unified, searchable, and automatically categorized database.
- Accepts various document types in most languages as input.
- Offers a no-code flexible interface for instant insight with audit trail.
- Employs multiple proprietary text sequencing techniques to adapt to business needs.
- Builds and maintains an ESG wording framework from a mass of documents.
- Facilitates the review of documents for SFDR and Taxonomy compliance.
- Extracts content from documents on PAIs for EET reporting.
- Provides a cloud-native, modular design with Kubernetes container orchestrator for scaling.