AI reference checker for medical writers and evidence-led teams

Check whether a claim is actually supported by its cited reference. RefCheckr helps medical writers, medcomms teams, medical affairs professionals, and pharma teams review source material faster by surfacing supporting, conflicting, or missing evidence from uploaded PDFs.

What an AI reference checker helps you do

Claim support

Verify whether a claim is actually supported

Check whether a statement truly matches the wording, endpoint, outcome, or population reported in the cited reference.

Evidence retrieval

Find evidence faster in PDFs

Reduce time spent manually searching references for the exact passage that supports, weakens, or complicates a claim.

Early review support

Reduce manual cross-checking

Catch overstated, incomplete, or weakly supported wording before review cycles become slower and more expensive.

A faster way to check claims against source material

RefCheckr is built for evidence-heavy workflows where accuracy matters. Instead of manually digging through references line by line, you can review how closely a claim aligns with the uploaded source and decide whether the wording needs to change.

Step 01

Upload your references

Add one or more PDFs you want to check against.

Step 02

Paste in your claim

Enter a single statement or multiple claims you want to verify.

Step 03

Review the evidence

See whether the source supports the claim, conflicts with it, or leaves important gaps.

Step 04

Refine the wording

Adjust the claim if needed so it better reflects the underlying evidence.

Built for evidence-heavy workflows

RefCheckr is designed for teams working with scientific and medical content where wording needs to stay closely aligned with the source.

Medical writers

Useful for checking whether slide, manuscript, and publication claims are genuinely supported by the cited reference.

Medcomms teams

Helps teams review source alignment more quickly across decks, leave-pieces, and content drafts.

Medical affairs

Medical affairs and MSL teams

Supports evidence-led communication by making it easier to check whether wording matches available data.

Research & publications

Researchers and publications teams

Helpful when reviewing whether summary statements accurately reflect endpoints, populations, and reported outcomes.

Why scientific claim checking matters

A claim can sound accurate at first glance but still overstate what the reference actually shows. Good reference verification is about checking whether the wording truly aligns with the cited evidence.

Illustrative example

Example claim

"Drug X reduced mortality by 30%."

What needs checking

A paper may report relative risk reduction rather than absolute reduction. It may describe a subgroup rather than the full study population. Or it may report a different endpoint entirely.

Why this matters

Scientific claim checking is not just about finding a similar phrase in a paper. It is about checking whether the wording of the claim genuinely matches the evidence being cited.

Where AI helps without replacing judgement

Scientific and medical writing still depends on human expertise. The value of an AI reference checker is not that it makes the final decision for you — it helps reduce repetitive checking, surfaces relevant evidence faster, and supports a more efficient review process.

Manual effort

Less manual searching

Spend less time jumping between claims and PDFs to locate the right supporting passage.

Consistency

More structured review

Use a more consistent process for checking wording against evidence across multiple projects.

Expert time

Better use of expert time

Let the tool help with retrieval and triage, while people make the final judgement.

AI reference checker for medical writers and evidence-led teams