ResearchGuard AI brings academic writing analysis, citation integrity, supervisor-style review, reference verification and controlled AI revision, responsible AI writing, writing-pattern analysis and academic humanization into one professional research workspace.

ResearchGuard AI combines manuscript intelligence, academic governance and revision tools without reducing research quality to a single unexplained score.
Analyse structure, language quality, APA 7 readiness and manuscript consistency from one workspace.
Match in-text citations to references, flag gaps, and verify scholarly metadata through configured services.
Run undergraduate, MSc, PhD and journal-review perspectives with structured, exportable feedback.
Improve selected passages while guarding citations, statistics and research meaning.
Create source-conscious academic drafts that mark unsupported claims instead of inventing references.
Review formulaic writing patterns transparently without presenting probabilistic signals as proof of authorship.
Improve naturalness, sentence variety and academic voice while preserving protected citations and numerical results.
Connect an authorised similarity provider and show only provider-reported results.
Support departments, supervisors and research teams with tenant-safe access boundaries.
Recover image-only PDF text with local OCR and export review-ready DOCX revisions.
Explicit external-processing consent, audit logs, retention controls and hardened account security.
Commercial billing, credits, invoices and automated financial reporting for administrators.
The workspace is designed around actionable academic feedback: what was detected, where it appears, why it matters, and what the researcher can do next.

A structured path from manuscript ingestion to a cleaner academic revision and downloadable report.
Submit DOCX, text PDFs, scanned PDFs or TXT with file validation and background processing.
Run writing, structure, citation, reference and APA-readiness checks.
Use supervisor or journal-reviewer modes and verify sources where configured.
Apply controlled improvements and generate PDF or Word review outputs.
ResearchGuard AI is intentionally designed around transparent evidence. Internal quality indicators are not presented as plagiarism scores, similarity values only come from authorised providers, and AI-writing characteristics are not treated as proof of authorship.
Start with an individual research account, or use institutional workspaces for supervision, document governance, subscription administration and research-office visibility.