A Smarter Way to
Assess Manuscripts

We help you assess research outputs across
quality, compliance, integrity, and review readiness
through systematic, requirement-specific screening.

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87%

of editorial offices perform technical and language checks manually

1 in 3

manuscripts are returned to authors because of technical issues

56%

of manuscripts are checked two or three times before acceptance

Editorial Workflows Face Increasing Complexity

Quality Inconsistency

Manuscripts enter editorial workflows with differing levels of language clarity and presentation, making early assessment more time-intensive even when research quality is strong.

Compliance Variability

Journal guidelines continue to expand across structure, references, disclosures, and metadata, increasing the likelihood of misalignment at submission.

Integrity Considerations

As submission volumes grow, identifying early indicators related to authorship, images, citations, and disclosures requires more structured support alongside manual review.

A Single Platform for Assessing Manuscripts

Paperpal Preflight is a modular, configurable platform supporting manuscript assessment
for quality, compliance, and integrity across editorial and peer-review workflows.

Paperpal Preflight Offers Three Modular Components

“SmartScreen provides a unified screening layer for language and technical readiness.”

What it addresses

A large proportion of manuscripts require basic language and technical checks before editorial evaluation. These checks are necessary, but time-consuming, and often delay progression to scientific assessment.

What SmartScreen does

SmartScreen scans manuscripts to generate a structured readiness report on language quality and technical compliance, serving as a screening signal for editors and an actionable output that authors can use to address issues prior to submission.

30 language and technical checks

80% fewer desk rejections

27% improved acceptance rate

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IntegrityGuard

"IntegrityGuard uses 30+ checks to screen manuscripts for integrity issues, giving editors clear visibility into potential concerns and enabling faster decisions on whether a submission should proceed."

What it addresses

As submission volumes and complexity increase, identifying potential integrity issues such as authorship anomalies, citation fraud, fabricated text, disclosure gaps, or scientific inconsistencies requires systematic attention alongside editorial review.

How it’s used

IntegrityGuard screens manuscripts to detect integrity issues, helping editors quickly identify concerns and decide whether to advance submissions.

Papermill activity signals

Transparency and disclosures

Content appropriateness checks

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PeerPilot

"PeerPilot provides an AI-assisted review aligned with peer-review expectations."

What it addresses

Peer review is increasingly constrained by limited reviewer availability, growing manuscript complexity, and pressure to maintain timely, high-quality editorial decisions—all of which influence journal reputation.

How it’s used

PeerPilot supports peer reviewers through assessments on methodology, compliance to reporting guidelines, and completeness of literature review. It can be applied pre-submission to strengthen incoming submission, or during peer review to aid journals.

Reviewer-Style Assessment

Evidence-Linked Findings

Improvement-oriented Recommendations

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Paperpal Preflight is for Everyone

Authors

Pre-submission screening helps authors address language, technical, and reporting issues early, supporting stronger submissions.

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Publisher Editorial Workflows

Automated screening across quality, integrity, and review preparedness supports consistent editorial triage.

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Peer Reviewers

AI-assisted assessments help reviewers deliver faster, more consistent feedback by surfacing key considerations.

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Conference Abstracts

Integrity screening system that detects fraudulent, AI-generated, and anomalous abstract submissions at scale, strengthening trust in conference acceptance decisions.

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Case Investigations

Integrity screening system that detects fraudulent, AI-generated, and anomalous abstract submissions at scale, strengthening trust in conference acceptance decisions.

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