Our Products
Tools We Build
Research integrity platforms designed, built, and actively maintained by our team.
AI-Powered Manuscript Platform
ManuPro
ManuPro is an AI-assisted research manuscript platform that helps researchers move from raw sources — datasets, references, figures, section drafts — to a structured, export-ready paper while keeping traceability and quality controls in the workflow.
Structured Workflow
Step-by-step interface: type selection, data upload, references, media, sections, citations, export. Resumable sessions with progress state.
Citation Management
Upload references, insert in-text citations in IEEE, APA, Vancouver, Harvard, Chicago, MLA. Automatic numbering and state tracking.
Dataset Analysis
CSV upload with parsing, profiling, and summary statistics. Dataset metadata feeds into figures, tables, and narrative grounding.
AI-Assisted Drafting
Context-aware section generation using selected references and data. Iterative refinement instead of one-shot generation.
Export Pipeline
Publication-ready DOCX/PDF output with citation and reference consistency. Template and publisher formatting constraints supported.
Session Persistence
Saves state and progress for long-running writing sessions. Enables continuity across sessions and devices with reduced data loss.
Integrity by Design
Citation accountability through tracked, style-aware insertion. Evidence traceability between datasets, figures, and claims. Staged workflow ensures data, references, and citations are validated before export.
Manuscript Integrity Analysis
PaperGuard
PaperGuard is a manuscript integrity analysis platform designed to help editors, reviewers, and research teams detect potential quality and integrity risks before publication. It combines automated checks, evidence-rich reporting, and human verification workflows.
Multi-Phase Analysis
Tortured phrase detection, reference quality checks, citation pattern analysis, author history review, and topic-author consistency.
Media Integrity
Docling-powered document parsing detects media elements, checks caption presence, numbering consistency, and in-text citation alignment.
Risk Scoring
Per-analysis risk levels with overall manuscript risk score. Human-readable summaries and actionable findings for editorial decisions.
Editor Verification
Findings include verification items where automation is uncertain. Supports responsible “AI + expert” review to reduce false positives.
Audit Artifacts
Download TEI XML, Docling JSON, and JATS exports. Improves transparency and reproducibility of integrity checks across organizations.
Background Processing
Asynchronous worker infrastructure with progress updates. Designed for operational use with multiple concurrent submissions.
Value for Stakeholders
Editors — Faster triage, clearer risk visibility, better workload targeting. Publishers — Stronger integrity safeguards and policy alignment. Research Offices — Quality control support for submissions. Authors — Earlier feedback on structural and citation weaknesses.
Open Source OJS Plugin
Editorial Board ORCID Verification
An OJS plugin designed to close one of the biggest trust gaps in scholarly publishing: unverified editorial board claims. It gives journals a practical way to show that listed editors are real people, verified through their ORCID identity, with transparent role, tenure, and disclosure status.
ORCID Authentication
Public OAuth identity confirmation with consent signals. Verified state displayed on public cards with consent fingerprint.
COI Disclosure
Structured conflict-of-interest forms covering financial, personal, and organizational interests. Professional email templates for requests.
OpenAlex Integration
Auto-fill profiles with works count, citations, h-index, and topic keywords. Demonstrates editorial expertise alignment with journal scope.
Public Transparency Page
Card UI with profile photos, role emphasis, verification badges, research metrics, and identity links for readers and auditors.
False-Claim Reporting
ORCID-authenticated dispute channel. Named scholars can challenge false listings. Records stored for governance evidence.
Bulk Onboarding
Multi-step wizard for bulk editorial board intake: search candidates, stage selections, assign roles, review metadata, save in batch.
Open Source OJS Plugin
Editorial Analytics
Editorial Analytics is an OJS plugin that automatically enriches author data using OpenAlex, ROR, and ORCID — delivering real-time insights directly inside the editorial workflow. It gives editorial boards the intelligence they need to make better publishing decisions and maintain standing with indexing databases like Scopus, Web of Science, DOAJ, and others.
Journal-Wide Dashboard
KPIs, interactive charts, world maps, and keyword clouds — a bird’s-eye view of your journal’s submission landscape and editorial health.
Author Intelligence
Per-submission author profiles with h-index, works count, ORCID verification status, and OpenAlex-sourced scholarly data.
Geographic Diversity Tracking
Country distribution analysis with concentration alerts — helping editors monitor and maintain geographic diversity across submissions.
Institutional Analysis
ROR-based canonical institutional matching to detect over-representation and ensure balanced authorship across organizations.
Submission Advisory Signals
Green and yellow flags for diversity, credibility, repeat authors, and self-citation patterns — surfaced before editorial decisions are made.
CSV & PDF Export
Enriched data exports for reporting, audits, and compliance — ready to share with indexing bodies and institutional stakeholders.
Why This Matters
Indexing bodies evaluate journals on diversity, integrity, and transparency. Without data, editorial boards are flying blind. Editorial Analytics puts that evidence at your fingertips — before you make a decision on any manuscript.
Related Solutions
Connect Products with Services
Need implementation support? Explore our academic publishing services, review real publishing outcomes, or contact our team for a tailored roadmap.