Scientific publishing is facing a new challenge as generative AI and other image-generation technologies make it easier to create or manipulate figures that can resemble legitimate research.
The issue goes beyond detecting altered images after a paper has already been published. By then, identifying a problem can trigger investigations, corrections, and questions about the credibility of the research record.
The pressure is therefore moving earlier in the publishing process, with publishers looking for ways to identify potential integrity issues before research reaches peer review.
That is the problem Straive and Imagetwin are targeting through a new strategic partnership announced on September 23. The companies are integrating Imagetwin’s image analysis capabilities into Straive’s aiKira Editorial Desk API, bringing image integrity screening into a broader automated process for scientific submissions.
The challenge of screening images before publication
Image manipulation in scientific publishing has moved beyond basic photo editing. According to the companies, generative AI and GAN-generated figures can now produce fake data that may bypass many traditional detection tools.
That creates a timing problem for publishers. When an integrity issue is discovered after publication, the investigation and correction process can be slower, more costly, and potentially damaging to a journal’s credibility.
The partnership is designed to move those checks further upstream.
By integrating Imagetwin into aiKira Editorial Desk, publishers can screen for manipulated, duplicated, plagiarized, or AI-generated visuals alongside more than 20 other automated integrity checks. Those checks cover areas including authorship, journal scope, reference verification, and text.
In a pilot study, Straive found that the combined solution identified 98% of image integrity issues, including known manipulated images and AI-generated figures. The announcement does not provide additional details about the size or methodology of the pilot.
The idea is to make image analysis part of the editorial workflow rather than treating it as a separate investigation once a paper has already moved through the publishing process.
For publishers processing large volumes of scientific submissions, that distinction could affect when potential problems are identified and how editorial teams respond to them.
Bringing image forensics into the editorial workflow
The partnership brings together two companies approaching research integrity from different parts of the publishing workflow.
Straive provides data and AI solutions for global enterprises, including organizations in science and research. Imagetwin focuses specifically on image integrity in academic publishing, with software designed to detect image duplication, manipulation, plagiarism, and AI-generated content. Its database includes more than 160 million academic images, according to the company.
Srinivasan Govindarajan, Business Head, Science & Research at Straive, said:
“Research integrity is at a breaking point, and this partnership directly answers this ever-growing challenge. Together, we’re empowering publishers to not only uphold the credibility of the scientific record at scale, but get ahead of fraud thanks to the technological breakthroughs we’re achieving.”
Patrick Starke, Imagetwin’s Co-Founder and CEO, added:
“The earlier an integrity issue is found, the easier and less damaging it is to fix. Partnering with Straive lets us put image integrity screening directly into publishers’ existing workflows through aiKira, so integrity checks happen automatically, at scale, before problems reach peer review.”
The approach does not replace peer review or editorial judgment. Instead, the companies are adding another automated screening layer before those stages, with image analysis operating alongside checks covering other parts of a submission.
That distinction could become increasingly relevant as generative tools make synthetic and manipulated visuals easier to produce.
For scientific publishers, the challenge is consequently moving beyond detecting questionable images. It is also about determining how early those checks can be incorporated into the systems that decide what moves further through the publishing pipeline.
The Straive-Imagetwin partnership reflects that shift: rather than waiting for image integrity issues to surface after publication, the companies are attempting to make screening part of the process before research reaches peer review.
Disclosure: This article mentions a client of an Espacio portfolio company.
