01 // proof

A clinical case with real corpus scale.

1,669 papers ingested
17 structured chapters
95% doi verification rate
6h pipeline time

A physical rehabilitation medicine case study shows the right role for Axion in clinical work: not replacing domain judgment, but compressing mechanical evidence synthesis while keeping citations, support, and contradictions visible enough for a doctor or specialist to review.

02 // when this is useful

Best fit for review-heavy clinical and biomedical work.

01

literature-grounded drafts

Use when you need a fast synthesis, but the draft will only matter if the references are real and the support holds.

02

grant or protocol support

Use when the output will be reviewed by collaborators, department heads, or a grant panel that will challenge weak support.

03

internal research review

Use when a team needs a reviewable evidence package instead of confident prose that nobody fully trusts.

03 // what it catches

What gets stopped before it reaches the reviewer.

weak output

real DOI attached to the wrong claim
conflicting literature flattened into confidence
mechanistic claim with no adequate support
clinical nuance lost in a generic summary

axion output

citations verified before delivery
contradictions and uncertainty preserved
unsupported language flagged for removal
human specialist still owns signoff
04 // deliverables

What the clinical team actually receives.

evidence review package

claim-to-source mapping
contradiction and uncertainty notes
unsupported-claim register

review-ready draft

citation-verified synthesis
explicit gaps before signoff
clear next-step recommendations
05 // start

Start with the research work that needs to survive scrutiny.

If you are working on a literature-heavy clinical or biomedical problem, send the corpus, draft, or review pressure point. We scope the right research intake and define the smallest useful review unit before execution.

[ research audit ]