Your documents become rows, your questions become columns. Every cell linked to evidence.
A platform for research-grade data extraction using privacy-first AI.
Developed by Karl Rohe, Professor of Statistics at UW-Madison
This is what your minted data looks like. Try it.
Specifies exactly what to extract from each document.
Multiple AI models extract independently, then discuss to verify.
Click any cell to view the evidence, quotes, and reasoning behind each value.
Inspect → refine → re-mint. Forgot a field? Add it. Found an edge case? Update the codebook. Minutes, not weeks.
PDFs, images, Word docs, HTML, and more. Any file containing text or visual information. Systematic reviews, qualitative coding, evidence synthesis — and beyond. Predictable pricing — a penny per page, a penny per cell.
Karl Rohe · Professor of Statistics, UW-Madison · Founder
Craft your codebook, mint the data.
LinkedInMost users mint their first dataset in under 10 minutes. Once your codebook is ready, batch processing scales to thousands of documents automatically.
Click any cell to view the exact source text, key quotes, and the model's reasoning. Every extraction includes complete provenance.
Add new fields to your codebook and re-extract in minutes. Iteration is built in. Codebooks are reusable and shareable.