Technical Checks to Support Your Judgment

R3 uses grounded, domain-specific AI to identify critical issues in research—supporting rigorous review across the entire study lifecycle.

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Catch Critical Issues Early

Built for researchers and journals who can't afford preventable mistakes.

Researchers

  • Catch critical issues before review
  • Reduce revisions, delays, and rejections
  • Submit with confidence

Journals

  • Identify fatal flaws and integrity issues
  • Reduce reviewer burden
  • Flag issues that lead to retractions

Small Issues, Big Consequences

Even strong research can fail due to preventable issues.

Fatal design flaws

Logical gaps

Reproducibility concerns

Integrity issues

When problems surface late, they cost time, funding, and credibility.

Domain-Specific Feedback

Built to evaluate research across multiple dimensions of quality

ReviewerFocusAuthorJournal
Study DesignDoes the data support the conclusions?
ReproducibilityAre the statistics and methodology sound?
LimitationsAre limitations properly discussed?
Fatal FlawsAre there fatal design flaws?
NoveltyHave authors published redundant work?
AI TextIs this AI-generated?

All findings are grounded in domain-relevant sources

Human Judgment at the Center

R3 informs. You decide.

What R3 is

  • A pre-publication quality layer
  • Support through surfacing issues
  • Grounded, domain-specific AI

What R3 isn't

  • A replacement for peer review
  • A generic AI writing tool
  • An automated approval system

Built for Research Integrity

R3 was designed with the academic community in mind. Our AI is trained to understand the nuances of scientific writing and methodology across disciplines, providing actionable feedback that respects the complexity of your work.

See R3 in Action

Experience how R3 can strengthen your research before submission.