The problem we address
Pre-submission checks are often fragmented across language, methods, formatting, and compliance, with inconsistent feedback that is hard to trace.
We focus on intelligent pre-submission review and formatting assistance, helping researchers understand manuscript risks before formal submission.
ScholarAI organizes comments around manuscript evidence, showing authors where an issue is, why it matters, and what they can do next.
Pre-submission checks are often fragmented across language, methods, formatting, and compliance, with inconsistent feedback that is hard to trace.
Structured review sits at the center, connected to language, formatting, and submission tools, with facts, risk signals, and suggestions clearly separated.
These principles guide product design and the way outputs are expressed.
Comments are linked where possible to sections, figures, citations, or source passages for verification.
Credibility and conclusion-support issues appear before expression and formatting refinements.
Content that lacks evidence, needs domain judgment, or depends on external rules is flagged for review.
AI provides assistance; research judgment, revision choices, and submission responsibility remain with the author.
Clear capability boundaries are part of a trustworthy academic product.
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