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Structure designed for libraries
Access model, user verification, and panel experience align with centralized campus service delivery.
University libraries
Advantages for Universities
Academic tool selection, single-portal access, institutional licensing, and data-protection approach — summarized on one page.
Why university libraries?
Libraries are the hub of campus research and learning support. Offering a licensable, manageable portal organized by academic workflow fits library service models better than scattered consumer subscriptions.
- One entry point for researchers and students
- Tools selected for academic needs
- Institutional management, licensing, and access control
- Clear privacy, KVKK/GDPR, and usage-policy framing
AI tool selection criteria
Tools are not random consumer products. They are evaluated for academic suitability against the criteria below.
Academically focused selection
Priority goes to tools that support literature work, writing, translation, citation, analysis, and scholarly communication.
Built for university libraries
Institutional accounts, central access, and campus-wide scenarios are first-class concerns.
Single-portal access
Users progress from one panel instead of juggling dozens of separate sites.
Research-process organization
Categories follow discovery, reading, writing, visualization, and similar stages — not brand names.
Institutional management and licensing
Licensing, credits/usage, and authorization must fit institutional procurement and oversight.
Single portal
Explore, categories, and the full tools list share one session — less account fragmentation.
Research-process organization
Users ask “which research step?” rather than “which brand?”.
Institutional management and licensing
A manageable licensing model matters for libraries making purchase decisions.
- Usage rights can be defined for the institution
- Central credit / usage tracking is supported
- Access can be verified via institutional email or domain
- Support and requests can run through institutional channels
Platform coverage — category view
All category areas offered by research workflow — without third-party brand names.
General Purpose AI Tools
Versatile AI tools that don’t fit one category but streamline day-to-day academic workflows.
Literature Review and Source Discovery Tools
AI tools that speed up literature review, source discovery, and bibliographic data management.
Reading, Comprehension and Summarization Tools
AI tools that help you read, understand, and concisely summarize scientific texts.
Grammar, Spelling and Proofreading Editing Tools
Proofreading and editing tools that improve grammar, spelling, and style in academic texts.
Data Analysis Tools
Tools that accelerate statistical analysis, interpretation, and scientific inference on large datasets.
Academic Presentation Preparation Tools
Tools that turn research findings into presentation formats suited to academic norms.
Data Visualization and Reporting Tools
Tools that turn data into charts, infographics, and reports for clearer visual communication.
Academic Translation Tools
Academic translation tools for multilingual transfer of scientific texts, papers, and theses.
Tools for Systematic Review and Meta-Analysis
AI tools that support systematic reviews, meta-analysis, and evidence-based research synthesis.
Science Communication Enhancer Tools
Tools that help share findings widely and turn scientific content into accessible formats.
AI-Generated Content Detection Tools (Detectors)
Analysis tools that detect AI-generated text within academic integrity standards.
Privacy, compliance, and policies
Library procurement needs a clear data-protection and usage frame. The sections below summarize the approach; binding text lives on the legal pages.
Data privacy
Account and usage data are protected against unauthorized access. The platform manages sessions with security headers and access controls. Purpose limitation applies when processing sensitive content.
GDPR alignment
In line with European data-protection principles: lawfulness, transparency, purpose limitation, and data minimization. Data-subject requests are handled within the legal framework.
KVKK alignment
Under Turkey’s Personal Data Protection Law (KVKK), notice, processing grounds, and data-subject rights are described in the privacy policy.
Processing of user data
Identity, contact, and usage records are processed for service delivery, security, billing/credit tracking, and support. Scope and retention principles are stated in the privacy notice.
AI usage policy
Tools support academic production; accuracy and ethical use of outputs remain the user’s responsibility. Institutions continue to apply their own academic integrity rules.
Copyright approach
Rights in content uploaded or entered by users remain with users / rightsholders. The platform does not claim ownership beyond what is needed to provide the service; lawful use of third-party content remains the user’s duty.
Content selection policy
Tools added to the catalog are assessed for contribution to academic workflows, usability, and fit for institutional delivery. Integrations that do not fit the service model are not kept in the catalog.
Detailed legal texts: Privacy Policy, Terms of Use
Let’s talk about your library
Contact us for institutional licensing, access models, and campus-wide use.