Proofig Overview
Proofig provides scientists, research institutes, and publishing houses with an automated quality assurance solution for their research deliverables and publications. The company's SaaS solution leverages computer vision to catch common and costly image-duplication and data mistakes prior to publication, reliably and cost effectively. Proofig was developed by Proofiger.
Cumulative Funding Raised Over Time ($)
Latest News
growth-positive
Taylor & Francis trials Proofig software to help detect image duplication - Taylor & Francis Newsroom
Taylor & Francis is piloting Proofig image integrity software to prevent image duplication and manipulation in academic journal articles. The software uses artificial intelligence and image processing to analyze figures and identify potential examples of duplication. The company takes the issue of image manipulation seriously and is exploring innovative technologies to address it.
Customers
growth-positive
Proofig launches first commercial automated image duplication and manipulation detection software for scientific publications
PROOFIGER LTD, a company based in Rehovot, Israel, has developed advanced software to address the challenge of image integrity in scientific publications. The software, created by founder Dr. Dror Kolodkin-Gal and technology partners, extracts and compares images from papers to detect duplications and manipulations. This automated process helps prevent costly retractions and protects the reputations of researchers, publishers, and institutions. Publishers such as the American Association for Cancer Research and the American Society for Clinical Investigation have already integrated Proofigs software into their review processes. The software is also beneficial for individual researchers and publishing houses, reducing costs and ensuring the accuracy of research papers.
PartnersCustomers
growth-positive
Publishers launch joint effort to tackle altered images in research papers
The world’s largest science publishers are teaming up to discuss how to automatically flag altered or duplicated images in research papers. A new working group — the first formal cross-industry initiative to discuss the issue — aims to set standards for software that screens papers for problematic images during peer review.
Partners
| Sector | Business Software |
Funding
| Total funding | Undisclosed |
| Last funding | Undisclosed |
| Stage | Pre-Seed |
| Rounds | 1 |
| Investors | 1 |
Team Members
3
Employees: 1-10
Web & Social Links
| Website | www.proofig.com/ |
Locations
Carmel Street 15, Rehovot, Israel
Photos & Videos
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