Eworkflow provides a cloud-based manuscript submission and peer-review system for academic publishing, leveraging artificial intelligence, machine learning, and cloud computing to streamline the entire editorial process. The platform offers structured review forms for reviewers, AI-powered keyword detection, and integrated plagiarism detection via iThenticate, while scaling to support publishers with growing journal portfolios and editorial teams.
Funding
Funding not disclosed
Founders
Product
Problem
Academic manuscript submission and peer review processes are often fragmented, manual, and time-consuming, creating friction for authors, reviewers, editors, and publishers. Inefficient workflows lead to delayed publication timelines, inconsistent review quality, and administrative burden that detracts from the core mission of advancing scholarly knowledge.
Solution
Eworkflow provides a state-of-the-art, cloud-based manuscript submission and peer-review system that unifies the entire editorial workflow in one platform. The system uses artificial intelligence and machine learning to automate key tasks, including keyword detection and manuscript routing, while offering structured review forms that guide reviewers through consistent, thorough evaluations. Authors benefit from a simplified submission process, editors gain seamless tools for managing submissions and assigning reviewers, and publishers can scale effortlessly to handle increased manuscript volumes and expanded journal portfolios. Integrated plagiarism detection via iThenticate ensures research integrity is maintained throughout the review process.
Target Audience
Primary users are academic authors, peer reviewers, journal editors, and publishers who need an efficient, scalable platform to manage manuscript submission, review, and publication workflows.
Features
- AI-powered keyword detection to automate manuscript classification and routing
- Structured review forms that ensure consistency and thoroughness in peer evaluations
- Cloud-based architecture that scales to support increased submissions and diverse editorial teams
- Integrated best-in-class plagiarism detection via iThenticate
- Streamlined editorial workflow tools for managing submissions, assigning reviewers, and making decisions
- Simplified author submission interface designed to minimize administrative hassle