By bridging the gap between medical research and advanced machine learning, we build tools designed to capture the nuanced reasoning and standards required for high-impact editorial decisions.
WHO WE ARE
PRISM-AI is led by a multidisciplinary team of clinical professionals and artificial intelligence experts headquartered in London, Ontario. Our leadership combines over 15 years of experience in digital publishing and software commercialization with software engineers specializing in explainable AI and Natural Language Processing. As a Canadian-controlled private corporation, we prioritize data sovereignty and the ethical integration of technology into scholarly workflows. By bridging the gap between medical research and advanced machine learning, we build tools designed to capture the nuanced reasoning and standards required for high-impact editorial decisions.
WHAT WE DO
PRISM-AI is a Canadian-Controlled Private Corporation (CCPC) dedicated to data sovereignty and ethical innovation. Unlike platforms that process data internationally, 100% of our AI workloads and storage are housed exclusively in Canadian data centers to ensure full compliance with PIPEDA and global privacy standards. We are proud to be building the next generation of publishing tools right here in London, Ontario.
OUR LEADERSHIP
Our leadership combines over 15 years of experience in digital publishing and software commercialization with software engineers specializing in explainable AI and Natural Language Processing.
June Doe
Jason Doe
Jonathan Doe
Jonathan Doe
GENERAL OVERVIEW
PRISM-AI (Peer Review Insight and Screening Model) is an AI-powered tool designed to help medical and scientific journals manage the volume and complexity of new submissions.
It uses a GPT-4.1 language model that has been fine-tuned on authentic, anonymized peer review data to capture expert reasoning.
Initial testing demonstrated an overall decision accuracy of 81.25%.
The model achieved 100% accuracy for manuscripts identified as "Reject," meaning it is highly effective at catching submissions deemed unsuitable by human reviewers.
AI-generated comments have shown a 0.82 cosine similarity to human feedback, outperforming standard models like ChatGPT.
EDITORIAL CONTROL
Absolutely not; PRISM-AI is built to complement, not replace, editorial judgment.
All AI recommendations are presented as suggestions, and the Journal Editor remains the final arbiter of scientific validity and all final decisions.
The algorithm evaluates manuscripts based solely on scientific merit and linguistic consistency, independent of commercial interests.
First Pass Research Reviewing Inc. periodically audits the system for systemic biases related to geography or institutional prestige.
Submissions from affiliates are flagged for manual human oversight to prevent favoritism.
DATA PRIVACY & SECURITY
The Company processes all information in strict accordance with the Personal Information Protection and Electronic Documents Act (PIPEDA) and Ontario privacy frameworks.
We employ industry-standard security technologies to protect information from unauthorized access.
To preserve the integrity of the scientific record and prevent "journal shopping" of flawed data, reviewed manuscripts are retained for a five-year period.
This data is used for audit trails, retrospective accuracy analysis, and the identification of duplicate submissions.
CUSTOMIZATION & LOGISTICS
Yes, the model is designed to adapt through fine-tuning on your journal's past editorial decisions and reviewer comments.
Through prompt engineering, editorial teams can provide specific instructions to ensure the AI's feedback aligns with the journal’s unique priorities and subject matter.
The service is owned by First Pass Research Reviewing Inc. and is governed by the laws of the Province of Ontario and the federal laws of Canada.
The Services are provided on an "as-is" basis, and because they are powered by Large Language Models, they may occasionally produce "hallucinations" or factually incorrect outputs.
The system may yield False Positives (missing flaws) or False Negatives (incorrectly flagging quality work), which is why human oversight remains essential.
INSIGHT
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SPEAK TO US
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