Benefit from the Power of
AI and Human Expertise
Our proprietary AI provides a fast, cost-effective review across 24 key journal checkpoints. Subject-matter experts validate the AI's analysis, correct errors, and offer actionable feedback to enhance your manuscript based on the following criteria:
With human experts reviewing the AI output, there's no risk of hallucinations or errors in the final report.
Who Should Use This Service?
You’ve used AI to draft your manuscript but are unsure if the content is coherent and scientifically rigorous.
You need a comprehensive assessment to determine if your paper is ready for submission.
You want a fast, affordable expert review to identify issues and improve your chances of acceptance.
How This Service Can Help You
Assess the scientific value of your paper by evaluating if it meets key peer review checkpoints.
Receive actionable feedback from human reviewers to address gaps and improve your paper.
Benefit from a fast, affordable service priced at $149 with 4-day delivery for quick revisions and submissions.
How It Works
Upload
Manuscript
Submit your manuscript with your target journal details and your areas of concern.
AI Peer
Review
Enago's proprietary AI technology generates a report based on standard structured peer review questions.
Expert Human
Review
Our experts review the manuscript alongside the AI report before validating findings and adding commentary.
Structured
Report
You receive a structured review report with human expert annotation.
Airtight Data Security
Your data is securely processed using locally deployed Large Language Models (LLMs), ensuring that your data stays within our trusted systems. We do not use ChatGPT or any external AI applications.
Additional Services
Substantive
Editing
Comprehensive content editing by two subject-matter experts to enhane the manuscript's structure, logical flow, and transition.
Submission Assistance
Expedite journal submission by ensuring the accuracy and compliance of every detail of your submission.
Technical Check Report
Ensure your manuscript meets 27 essential standards for submission, from structure, references, anonymization, to compliance.
What our Clients say about us
Frequently Asked Questions
How does the service help improve my manuscript’s chances of publication?
+Our AI-powered and human-enhanced peer review ensures your manuscript is coherent, compliant with journal standards, and scientifically robust, giving it a better chance for acceptance.
Will my manuscript be reviewed by human experts?
+Yes, after the AI-based review, our human experts provide detailed feedback to address any issues and ensure your paper meets journal submission standards.
What if my manuscript requires additional editing or submission assistance?
+In addition to Peer Review Lite, we offer services such as Substantive Editing, Submission Assistance, and Technical Check Reports to further refine your manuscript and streamline the submission process.
What aspects of my manuscript will be reviewed?
+The review covers title improvement, abstract clarity, literature evaluation, objectives clarity, results presentation, interpretation, conclusions, study limitations, and relevance to the journal audience.
How secure is my data during the review process?
+We prioritize data security with 256-bit SSL encryption and process all data using locally deployed Large Language Models (LLMs). Your data is never shared with ChatGPT or any external AI tools.
Can there be discrepancies between reviewer comments and AI-generated report?
+Yes. AI serves as a tool to assist the human reviewer, but the human expert has the final authority. Reviewers will override AI suggestions when necessary, ensuring that accuracy and expertise are prioritized in the feedback.
What's the main difference between Peer Review Lite and Pre-submission Peer Review?
+Peer Review Lite is a streamlined version, focusing on structure, compliance, and presentation. In contrast, Pre-submission Peer Review provides in-depth feedback on methodology, research rigor, statistical analyses, originality, and literature improvement. For comprehensive feedback, please visit our webpage for details on Pre-submission Peer Review.