/0.2 / Document AI
Answers with citations, at a scale no human can read.
Analysts spend their careers inside folders of PDFs, scanned contracts, redacted memos, and inherited shared drives. We build the systems that read those folders faster than they can.
Our document systems combine OCR, structured extraction, semantic retrieval, and grounded generation. Every answer is sourced. Every citation is clickable. Classification boundaries are respected at ingest, not at inference.
We design for adversarial corpora: redacted pages, inconsistent scans, partial handwriting, duplicate versions of the same memo, and documents the original authors wanted to be hard to search. The evaluation set reflects that reality.
What we build
- —Pipelines for scanned, redacted, and born-digital document sets.
- —Sourced Q&A with per-paragraph citations and confidence scores.
- —Entity and relationship extraction into queryable graphs.
- —Classification-boundary enforcement at ingest, not at query time.