Keeping research critical in the age of AI
We're people who care about research. AI is moving fast, and a lot of it is aimed at producing more papers, faster. We worry about the other side of that, and it's what we're here to protect.
Keeping research critical, valuable, and not buried under the volume of ever changing technology.
Between us we've authored 100+ published papers and reviewed thousands more. ReviewerLens is us taking that experience and using AI to augment research rather than flood it. It helps you find the weak spots in your own work before a reviewer does, so the things that matter still get the scrutiny they deserve.
100+
Published papers, aggregated
1000s
Papers reviewed
3
Disciplines, one team
The team
Three disciplines that have to meet for any of this to work.
Machine Learning Researcher and Engineer
Builds the analysis behind ReviewerLens. The goal isn't to replace your judgment but to take how good reviewers actually read a paper and make it consistent, grounded, and repeatable.
Software Engineer
Ships the product, from upload to review to dashboard. The point is to get the research underneath into your hands as something fast and reliable, without getting in the way.
Microbiologist, PhD, Professor and Head of Research
Has spent years at the bench and as an editor reviewing other people's work. That experience sets the bar for what ReviewerLens flags, and keeps it honest about real research.