Higher reviewer participation rates
Reduce reviewer burden and increase acceptance rates with streamlined workflows that save time and eliminate tedious tasks.
Improve peer review quality
Get consistent, thorough reviews every time with structured processes that cover all critical manuscript dimensions.
Improved author satisfaction
Authors receive clearer, more actionable feedback that helps them improve their manuscripts faster.
Data-driven editorial insights
Make informed decisions with AI-powered analysis, automated summaries, and comprehensive manuscript intelligence.
Faster time-to-decision
Accelerate editorial workflows with automated aggregation, decision support tools, and pre-written communication templates.
Enhanced research integrity
Strengthen quality control with systematic review standards, issue detection, and comprehensive documentation.
Journal matching
Smart scope checking and AI-powered journal suggestions help authors find the perfect fit for their manuscripts.
Reference analysis
Automated bibliography assessment with impact scores, recency analysis, and citation quality metrics.
Interactive review assistant
Chat with papers during review, get structured guidance, and receive feedback to improve your review quality.
Automated peer review
Automatically generated manuscript reviews help authors increase acceptance chances and reduce reviewer burden.
Decision support
Executive summaries, aggregated insights, and pre-written decision letter templates for faster editorial decisions.
Content search
Easily search paper content to verify reviewer comments with the actual source.
Human expertise meets AI capability
Eliza enhances human judgment rather than replacing it - empowering reviewers, authors, and editors with intelligent tools that make academic publishing more efficient and effective.
Request a demoCustom AI tooling
Tailor-made solutions for your editorial workflows, from manuscript triage and reviewer matching to decision support.
Integration with your systems
We connect AI capabilities to your existing submission systems and platforms through APIs and custom integrations.
Consultancy and prototyping
From an initial idea to a working prototype: we help you explore what AI can realistically do for your organization.
World Brain Scholar is a member of and/or works with the following organizations and platforms:
News
Join World Brain Scholar and the Asian Council of Science Editors (ACSE) for a webinar introducing Eliza, our AI-powered peer review assistant. The session takes place on February 16 at 11:00 AM CET. Register now!
World Brain Scholar joins the Asian Council of Science Editors (ACSE)
September 10, 2025
We are delighted to announce that World Brain Scholar has officially become a member of the Asian Council of Science Editors (ACSE).
Eliza Redesigned: Flexible Individual Modules
August 15, 2025
We are excited to announce the launch of our redesigned AI-supported academic workflow tool Eliza, more flexible and accessible than ever before.
Zeger Karssen
Founder & CEO
Zeger is an AI researcher and industry veteran with decades of experience in publishing. He founded Atlantis Press, which was acquired by Springer Nature in 2021, and currently leads WBS.
Koen Dercksen
CTO
Koen is an AI researcher and software developer with a background in academia. He is responsible for the technical development of WBS solutions.
Amy Beisel
Business Development Lead
Amy is a consultant and coach in the academic publishing industry, specializing in AI start-ups.
Arjen P. de Vries
Advisory Board Member
Arjen holds a full professorship at Radboud University Nijmegen. He is a computer scientist specialized in information access through the integration of information retrieval and databases.
Peter Hendriks
Advisory Board Member
Peter is a CEO and board member with leading international publishing companies Wolters Kluwer, Springer Nature and Sanoma. He has private equity experience with Cinven Candover, EQT and BC partners. He is currently active as an investor and advisor in publishing.
Charles Chui
Advisory Board Member
Charles is a professor of mathematics at Hong Kong Baptist University and consulting professor in the Statistics Department at Stanford University.