Research Services - Benchmarking the Value of XBRL and structured data in an AI-Driven Reporting Environment
The FRC wants research comparing how AI models perform when extracting and interpreting corporate disclosures in XBRL, PDF and HTML formats. The study will measure accuracy, completeness, consistency and explainability to benchmark structured data value in an AI-driven reporting environment.
- Closed31 July 2026
- Value£70k
- BuyerTHE FINANCIAL REPORTING COUNCIL LIMITED
- CategoryResearch & development
- RegionLondon
You'll want to look if you have expertise in AI model testing, financial data formats, or corporate reporting and can design and execute a rigorous comparative benchmarking study
Possible incumbent
University of Lancaster won related research into AI and disruptive technologies in corporate reporting in November 2025 Inferred from prior awards to this buyer, not confirmed.