Research

Grounded, not guesswork

Every answer traces to the files it came from — with confidence scores and limitations published so you know what you're working with.

How we keep it honest

Verifiable, not just confident

Answers cite the sources they came from, confidence scores are calibrated, and limitations are published — so you can verify, not just trust.

Grounded answers

Every answer cites the wiki pages and source files it came from — traceable back to your own data.

Calibrated confidence

Every confidence score is calibrated against observed accuracy, so the number means what it says.

Format coverage

Every supported format — images, PDFs, HTML, CSV, TXT — is tested at the output level before it ships.

What we publish

Honest about every result

Evaluation results and methodology publish here as they ship — no headline numbers before they're earned.

Document extraction accuracy

In progress

Field-level precision and recall across contracts, invoices, and receipts.

Coming soonResults land here when the extraction eval ships
View methodology

Image understanding

In progress

Subject and scene detection quality across image classes.

Coming soonScores publish here once the image benchmark runs
View methodology

Format detection

In progress

How reliably we classify input types.

Coming soonThis bench fills in when the format eval ships
View methodology

Custom fields

Planned

Output quality when you define custom fields.

Coming soonScheduled — methodology and results will publish here
View methodology
Principles

How we work

01 · Grounded in your files

Every answer cites the sources it came from — you can verify against your own data.

02 · Honest confidence

Confidence scores and limitations are published for every extraction — trust, verifiable.

Be first in line

We're building Serialize Anything — any file becomes structured data, and a personal insight store you can query. Join the waitlist for early access and get the Research updates as they publish.

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Files are deleted after processing — privacy by design.