Transform your grant review process from a time-consuming challenge into a streamlined operation
Find expert peer reviewers in minutes, not hours or days
During peer-review time, it was all-hands-on-deck in my old organisation, so I have experienced first-hand the pain of finding optimal reviewers for each of your grant applications. The process felt inefficient, and consumed valuable time and resources, often stretching our team to its limits. That's why I developed an automated solution, cutting reviewer-finding time by two-thirds in our very first grant round.
“Jorge helped revolutionise ARUK’s processes. His automated peer-reviewer tool significantly increased our efficiency and upended the way we did peer-review.”
Rosa Sancho, Chief Operating Officer at the Multidisciplinary Institute on Ageing, Portugal, and former Head of Research at Alzheimer’s Research UK.
The story behind the tool
Go from spreadsheets with hundreds of grant applications to a smart dashboard with dozens of potential reviewers per grant in less than 20 minutes.
My tool leverages the latest AI models to match your grant applications with semantically similar documents, ranking optimal reviewers based on your specific criteria. Unlike other tools in the market that rely solely on publications, I have built a bespoke grant dataset containing over 300,000 project records (and growing) to find the most relevant reviewers for your needs.
I am proud to offer a completely tailored tool built to serve the exact requirements of my clients:
Do you want to filter reviewers by career stage? Location? Primary expertise?
Do you want to rank higher reviewers who influence clinical guidelines or inform new patents? Those who have been awarded similar grants to the one you are reviewing?
Would you like to have diversity insights, to make sure that your review panels are representative of your researcher population?
Would you like to include your old grant applications as part of the pool of documents, or include information on researchers who have reviewed for you in the past?
I can build the best possible reviewer tool for you, fully tailored to your needs.
Transform your review process, powered by AI
Fully customisable to your needs
Advanced features, that make the difference
AI-driven text similarity: Identifies reviewers with the most relevant expertise, using advanced AI models instead of just keywords.
Bespoke knowledge base: Searchable database that integrates data from both publications and grants in your specific research domain. Integration with internal data such as old grant applications or reviewer reports.
Diversity insights: Includes gender and ethnicity predictors to help maintain balanced, inclusive reviewer panels.
Affiliation & collaboration conflict checkers: Automatically flag potential conflicts of interest.
Customisable reviewer ranking system: Incorporates source type, similarity levels, and deeper metrics, delivering higher relevance to your specific needs.
Tool integration: the tool can integrate with internal databases, with Outlook to track reviewer responses, and more. Enquire about the possibilities.
Training: Comprehensive onboarding with live training, documentation, and video tutorials included.
Get in touch if you want to know more or book a demo
In this animation you can see a simplified illustration of how the matching process works.
Each gray dot is a pre-existing research publication or grant, clustered based on how similar they are to each other.
Each red dot is one of your grant applications. Their positioning, again, is determined by the meaning of their text.
For each application, similar nearby sources light up in blue – it is from them that we can extract researchers whose work closely aligns with the application’s focus, making them ideal reviewers.