Unstructured data understanding

Nora

The agent that turns the messy stuff — documents, messages, threads, scans — into the kind of structured signal the rest of the workforce can reason over.

Nora

AI Agent To Automate Medical Claim Data Inference

Messy content turned into usable evidence.

What Nora does

Nora reads the documents, messages, scans and threads that hold the facts of a case. She extracts what matters, connects information across sources, and keeps citations attached so the rest of the workforce can reason from evidence.

Specs
Inputs PDF, scan, image, DOCX, email, threads, web content, transcripts
Outputs Structured extraction with citations, content classification, multi-document case views
OCR and language Robust to poor scans; English plus per-engagement languages

Where Nora gets used

Nora
Nora Unstructured Data Understanding
Nora returns
Document understanding Reads PDF, scan, image, email and message at content and structural level.
Multi-document reasoning Connects information across claims files, contract bundles and correspondence trails.
Content classification Identifies document type, subject and the parts that matter.
Citation Every extracted fact carries a citation back to the source location.