Aries Systems Corporation, a leading provider of workflow management technologies for the scholarly publishing community, and Imagetwin, an AI-powered image integrity software for research, are pleased to announce their partnership to strengthen trust in publishing through streamlined research image screening.
Research integrity is an increasingly complex and critical challenge within scholarly publishing. Ensuring research figures are credible within each article is typically a highly manual and time-consuming bottleneck for journals, and visual review by the human eye often fails to catch problematic cases. Without advanced support and additional resources, inconsistent image integrity investigations can result in frustrating delays and expensive post-publication corrections. To automate this process and minimize downstream risk, Aries Systems and Imagetwin have partnered to integrate their AI-powered image analysis software with Editorial Manager® (EM), the leading manuscript submission and peer review tracking system.
Upon submission and revision, articles in EM are automatically scanned by Imagetwin within seconds against their database of 160+ million published figures to identify potential instances of manipulation, duplication, reuse, or AI-generated content. From their existing workflow in EM, Editors can seamlessly access Imagetwin’s generated confidence score and sophisticated forensic toolbox for detailed examination of flagged images. Publishers also have the option to create a private repository of their own past papers to screen submissions against that archive alongside the full Imagetwin database – further promoting transparency and legitimacy in scholarship.
“Supporting trust in publishing remains a strategic priority for Aries, and we are thrilled to bolster this commitment as Imagetwin joins our suite of research integrity solutions within the Aries ecosystem,” said Pierre Montagano, Aries’ Director of Business Development. “This powerful integration enables the detection of image issues early, consistently, and efficiently at scale – relieving editorial pressure and driving confidence in manuscript screening.”
“Editorial Manager is where the majority of manuscript decisions happen, so bringing image integrity screening directly into that workflow is a natural fit,” said Patrick Starke, Imagetwin’s Co-Founder and CEO. “This partnership means editors get flagged issues before publication, not after, which is exactly where the industry needs to be heading.”
The Editorial Manager/Imagetwin integration is now available! For more information, contact the Imagetwin team at alisia@imagetwin.ai or your Aries Account Coordinator (AC).
About Imagetwin | www.imagetwin.ai | Imagetwin is an AI-powered image integrity software built to preserve trust in academic research. The tool detects integrity issues in research publishing, including image duplication, manipulation, plagiarism, and AI-generated content. Imagetwin’s database includes over 160+ million academic images. It is a fast, reliable, and secure image integrity software for every submission.
About Aries Systems | www.ariessys.com | Aries Systems transforms and revolutionizes the delivery of high-value content to the world. We are committed to providing highly customizable, flexible, and innovative workflow solutions designed to help enhance the discovery and dissemination of human knowledge. Publish faster, publish smarter, with Aries Systems.
Member News Release submitted by Aries Systems on 09/09/2026.
