AI Start-Up Seed Contract

IntraData Exchange is engaged in a research initiative that pairs entrepreneurs with university mentors to develop AI tools that convert Department of Transportation “Application for Payment” PDF reports into XBRL data. 

The program will test how different AI approaches interpret the same DOT source documents and measure the impact of inconsistencies and hallucinations on data integrity.

IntraData Exchange will develop AI models for extracting and tagging payment application data into an XBRL taxonomy to produce:

• A converted XBRL dataset from publicly available DOT payment application PDFs;

• An analysis comparing results across AI tools to identify divergences and hallucination risks;

• A catalog of data elements used by DOTs and capital markets; and

• A stakeholder review and comment process to inform recommended XBRL taxonomy elements across public and private sectors.