JournAI
AI assisted journal discovery
JournAI helps authors find the right journal for a specific manuscript. It analyses the work itself and suggests suitable venues, rather than relying on the author already knowing the landscape.
Problem solved
Matching a manuscript to a suitable journal is slow, manual and biased towards journals the author already knows. Poor matching causes desk rejections and long delays in publication.
Who it is for
Authors preparing a manuscript, early career researchers and research support staff.
Industry context
Scholarly publishing workflow and author services, an area being reshaped by applied language models.
Features
AI journal finder
Matches a manuscript to suitable journals using four signals: semantic similarity, topic overlap, journal quality and publication activity.
Score breakdown
Every recommendation is explained, so an author can see why a journal was suggested rather than trusting a black box.
Journal exploration
Vector space exploration to find similar journals, thematic clusters and outliers.
AI chat assistant
Conversational answers on journal credibility, open access options and citation impact, grounded in the underlying database.
Runs on our own infrastructure
Queries are processed on infrastructure we operate. No manuscript content is sent to third party AI providers.