Artificial Intelligence (AI) Solutions from HighWire

AI in Scholarly Publishing: Smarter Workflows, Faster Outcomes

Artificial Intelligence is reshaping scholarly publishing—streamlining workflows for publishers, assisting authors with language precision, and helping editors ensure compliance and quality. At HighWire, our AI-powered solutions are designed to create efficiencies, improve editorial rigor, and reduce time-to-market. From intuitive authoring tools to intelligent, end-to-end workflow systems, we are helping our partners stay ahead in a rapidly evolving ecosystem.

DigiCorePro: Automate and Accelerate Journal Workflows

DigiCorePro is our AI-powered manuscript workflow platform that combines intelligent automation with deep publishing expertise. It enables publishers to manage the entire editorial process—from submission to decision—with configurable workflows, integrated tools for ethics and compliance checks, reviewer recommendations, and seamless data transfers. By reducing manual intervention, DigiCorePro helps editorial teams save time and improve accuracy without compromising control.

MPSLabs: Innovation Engine for AI in Publishing

MPSLabs is the research and development arm of MPS, driving innovation in scholarly publishing through cutting-edge technologies. With a team of over 200 engineers, data scientists, and publishing domain experts, MPSLabs is focused on applying Machine Learning, Natural Language Generation, predictive analytics, and cloud-native architectures to real-world publishing challenges. From research integrity tools to automated language enhancement, our in-house innovations power next-generation publishing solutions.

Rubriq: AI-Assisted Pre-Peer Review Evaluation

Rubriq offers an objective, structured pre-peer review system that helps authors and journals identify the readiness and relevance of manuscripts before formal peer review. Using a blend of expert reviewers and AI-assisted evaluation, Rubriq delivers clear, standardized feedback across key dimensions like novelty, impact, and methodology. This helps journals improve editorial decisions and allows authors to strengthen submissions prior to review—enhancing the efficiency of the peer review process.

To collaborate and brainstorm ideas for automating workflows, contact us.