Enago Read is an AI-assisted peer review workspace for publishers and reviewers from Enago, and it connects to a publisher’s submission and peer review system through an API. Reviewers can follow an AI-first or a human-first workflow, which the publisher chooses for each journal, and the workspace guides them through a structured review using insights generated by large language models. Reviewers can put questions to the paper through a Copilot, an “LLM Roundtable” has several models cross-check each other’s findings, and a dashboard records time spent per section and the questions asked. The tool was previously called RAxter.
Benefits & outcomes
- Enago says that having several models cross-check each other reduces hallucinations.
Notes & quotes
- Enago and Charlesworth won the People’s Choice Innovation Award for the tool at the ISMTE 2024 North American Conference.
Publisher / company: CharlesworthEnago
Date of case study: 2024
Status: Live
Built by: Company
Sources: