Built by people who know research publishing from the inside
DeskReview.ai is founder-led. It is currently developed and operated by Spencer de Groot, with room for external advisors and contributors as the product evolves.
Spencer has more than 20 years of experience in scholarly publishing and product development. His background spans publishing workflows, metadata-rich research platforms, and large-scale information products used by researchers, editors, and institutions worldwide.
Over the years, he has worked on or contributed to projects such as ScienceDirect, Mendeley, and Scopus. He is also one of the named inventors on a U.S. patent for Scopus.
DeskReview.ai brings that experience together in a focused product for scientific communication: a guide-driven manuscript review tool designed to help authors, reviewers, and editors assess reporting quality more rigorously, transparently, and efficiently.
Vanessa Evers is a professor working at the intersection of human-computer interaction, social robotics, and human-centered artificial intelligence. Her work focuses on how intelligent systems behave in real social settings and how technology can be designed to support people responsibly and effectively.
That perspective is directly relevant to DeskReview.ai. As an external advisor, she brings a strong view on trustworthy AI, human-centered product design, and how intelligent systems should fit into real research and communication workflows.
Koos Admiraal supports DeskReview.ai as a senior advisor and external business developer, helping connect the product with organisations that can benefit from more structured, guide-driven manuscript and document review workflows.
He focuses on strategic partnerships, complex institutional conversations, and scalable adoption. Organisations interested in advancing their review process with www.deskreview.ai can contact him directly via LinkedIn, to explore collaboration or organisational implementation.
Founder-led, specialist-built
DeskReview.ai is currently developed as a focused founder-led product. That allows tight iteration on manuscript workflows, guide coverage, product quality, and scientific usability, while external advisors contribute perspective from adjacent fields.
Publishing experience, translated into product decisions
- DeskReview.ai is built around the realities of editorial screening and manuscript desk rejection.
- It is designed to work with established reporting guidelines instead of generic AI feedback alone.
- The product emphasizes verifiable, evidence-linked outputs rather than opaque summary claims.
DeskReview.ai may also involve additional specialist contributors over time, especially around reporting guidelines, editorial workflows, research integrity, product design, and institutional adoption. If you would like to contribute, get in touch at contact@deskreview.ai.