STM

AI-Powered Peer Review

Smarter submissions. Faster reviews. Better research.

An end-to-end article submission and peer review system enhanced with responsible AI — built for editors, reviewers, and authors.

A modern submission and peer review platform that combines editorial rigor with AI-powered assistance — without compromising ethics or transparency.

Peer review workflows

Core modules

Built for every stakeholder

Workflows are tailored for authors, editors, and reviewers to ensure clarity, integrity, and speed.

For authors

Manuscript submission, tracking, AI language clarity checks, and format validation for XML, PDF, and LaTeX.

For editors

Reviewer discovery, conflict-of-interest detection, AI decision support, and workflow automation.

For reviewers

Structured review templates, optional AI summarization, and ethical AI usage indicators.

Responsible AI

AI that assists, never replaces

AI is used as an assistant to highlight risks, summarize context, and reduce administrative overhead — while final editorial decisions remain human-led.

  • Manuscript structure analysis

    Surface missing sections, formatting issues, and reporting gaps early.

  • Statistical consistency checks

    Flag data inconsistencies without replacing human statistical review.

  • Ethical compliance detection

    Highlight conflicts, consent concerns, and policy deviations for editors.

  • Bias & duplication signals

    Identify potential duplication or bias patterns to assist integrity teams.

  • Reviewer recommendation engine

    Suggest qualified reviewers with transparent matching criteria.