Role-based query platform for large structured documents
This technology is a software service that ingests complex structured documents—think technical reports, research papers, or regulatory filings—and automatically breaks them into labeled subsections, generates summaries, and extracts embedded objects like images, charts, and tables. The system is built around user 'personas,' meaning different types of users (e.g., an analyst versus a researcher versus a compliance officer) see a tailored interface with controls relevant to their role. Users can define custom queries or 'experiments' against the document content, and the system returns organized, persona-specific outputs rather than forcing everyone to navigate a raw document. It sits somewhere between an intelligent document management platform and a lightweight AI-powered research assistant.
What you could build
A SaaS document intelligence platform that lets enterprise teams—legal, R&D, regulatory affairs, or finance—parse and query large structured documents through role-specific interfaces; buyers would be mid-to-large enterprises with high document review burdens, such as law firms, pharma companies, or government contractors.
Who in Virginia should care
Northern Virginia's dense concentration of government contractors, federal agencies, and defense primes regularly process large structured documents and would be natural evaluators of persona-driven document intelligence tools.
Readiness: Concept
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Edward A. Fox, Aman Ahuja, William A. Ingram, Bipasha Banerjee, Satvik Chekuri
- Filed
- Patent pending — filed February 23, 2024
- Status
- Application
- Publication number
- US20240289356A1
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.