Paperpal for Research Institutions and Labs

Strengthen Institutional Research Excellence with Responsible AI

87% of our users say Paperpal helps them write and revise faster. Help your researchers prepare stronger manuscripts for publication by reducing writing friction.

Get Your Team’s License

Built for academia. Trusted by researchers

Trusted by

5M+

students and researchers

Working with

200+

universities and 1,500+ journals

Present in

125+

countries worldwide

Expertise of

24+ years

across 1,300+ subject areas

Empower Researchers at Every Stage of Academic Work

Literature Discovery & Analysis

Researchers import references and libraries from Zotero and Mendeley; to ask questions and get citations from 300M+ verified research articles. This makes literature reviews faster across your institution.

Academic Writing & Refinement

Faculty and students draft guidelines, reviewer notes, and outlines. Paperpal suggestion stays grounded in real sources, with accurate citations across 10,000+ styles.

Publish with Leading Journals

Every manuscript meets the language and formatting standards of 1,500+ top journals, indexed in Scopus and Web of Science, backed by 30+ checks before submission.

Designed for University Libraries, Labs & Research Scholars

Our centralized dashboard ensures secure, compliant, and responsible AI use, so academics can focus on what matters most: advancing their research.

Centralized Control: Monitor purchased licenses and active users in real time to minimize research workflow disruptions.
Smart User Oversight: Onboard users, send setup reminders, and reassign licenses on demand to optimize resource allocation.
Efficiency Insights: Track usage to boost performance, ensuring every license aids learning, teaching, and research.

Researchers Who Use Paperpal, Publish in the
World’s Top Journals

Lancet

EBioMedicine: Triheptanoin treatment in ataxia-telangiectasia: targeting mitochondrial dysfunction

Nature Portfolio

Pediatric Research: Evaluation of clinical responses to probiotics and colchicine in PFAPA patients based on AIDAI scores

Frontiers

Immunology: In vitro derivation of megakaryocytes and platelets from iPSCs

MDPI

Nutrients: Beyond Biochemical Markers: Characterizing Malnutrition in COVID-19

AI Impact in Academic Research & Institutional Success
with Baylor University, Texas

Why Institutions Across the World Trust Our Tools

End-to-End Support. Seamless Access. Secure Ecosystem. Measurable Results.

Multilingual Support

Supports multilingual authors with accurate AI-powered language editing and translation.

Contextual Suggestions

Improves research and writing with context-aware suggestions and checks at every step.

Pre-Submission Checks

Reduces desk rejection rates via 30+ journal submission checks and plagiarism detection.

Seamless Integration

Integrates into workflows on Web, MS Word, Google Docs, Overleaf, and Chrome extension.

Dedicated Support & Onboarding

Dedicated customer support with tailored onboarding assistance and quick issue resolution.

Flexible Billing Cycles

Flexible billing process with localized payment methods and regional invoicing options.

Centralized Dashboard

Offers insights and oversight with a centralized dashboard to track use and improvements.

Data Privacy & Security

Keeps manuscripts confidential with encrypted data handling, GDPR compliant practices, and no use of user content to train AI models.

How We Promote Responsible AI for Academia

Provides Reliable Support

Trained on scholarly articles and built to support academics, our AI tools deliver context-aware assistance at every step of the research and writing process.

Puts Authors in Control

Paperpal never generates full text; our in-built guardrails, reminders for human review, and features to track and disclose AI use help ensure authenticity.

Ensures 100% Security

We implement enterprise-grade data security measures to keep research work private and confidential; Paperpal will never use research data to train its AI models.

Paperpal Meets Global Security Standards

Paperpal is fully aligned with international data and privacy frameworks: GDPR, PECR, FERPA, and certified for ISO/IEC 27001:2013 and CSA STAR Level 1 compliance.

Policies and Accreditations

Institutions Trust our AI Tools

“By incorporating Paperpal into our academic framework, we aim to equip our academics with cutting-edge AI research tools that will enhance their scholarly contributions and global impact.”

Prof. Prasad Krishna

Director, NIT Calicut

“This partnership with Paperpal aligns with our vision of fostering a research-driven, tech-enabled learning environment with world-class AI tools. We are not only enhancing productivity but also reinforcing IIMK’s position as a global thought leader in management research.”

Prof. Debashis Chatterjee

Director, IIM Kozhikode

"Efficient in saving time and provides accurate referenced scientific answers/paragraph; this is the finest application I have ever used. It comprises a variety of research tools that offer genuine assistance and support to researchers."

Azizah Fahad

Professor, King Saud University

“By integrating Paperpal into our academic workflow, IIM Kozhikode will equip our students, faculty, and researchers with best-in-class AI solutions, improving the quality and global impact of their scholarly work.”

Dr. Appasaheb Naikal

Librarian, IIM Kozhikode

“By incorporating Paperpal into our academic framework, we aim to equip our academics with cutting-edge AI research tools that will enhance their scholarly contributions and global impact.”

Prof. Prasad Krishna

Director, NIT Calicut

Prof. Debashis Chatterjee

Director, IIM Kozhikode

Azizah Fahad

Professor, King Saud University

Dr. Appasaheb Naikal

Librarian, IIM Kozhikode

Frequently Asked Questions

Paperpal employs a variety of AI models best suited to specific features. We also use our own proprietary suite of specialized AI and generative AI models trained on scholarly data. Irrespective of the model, your privacy remains paramount so rest assured that customer data is secure and never used to train any of the AI models.