Structure designed for libraries
Access model, user verification, and panel experience align with centralized campus service delivery.
University libraries
Academic tool selection, single-portal access, institutional licensing, and data-protection approach — summarized on one page.
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.
Tools are not random consumer products. They are evaluated for academic suitability against the criteria below.
Priority goes to tools that support literature work, writing, translation, citation, analysis, and scholarly communication.
Institutional accounts, central access, and campus-wide scenarios are first-class concerns.
Users progress from one panel instead of juggling dozens of separate sites.
Categories follow discovery, reading, writing, visualization, and similar stages — not brand names.
Licensing, credits/usage, and authorization must fit institutional procurement and oversight.
Access model, user verification, and panel experience align with centralized campus service delivery.
Explore, categories, and the full tools list share one session — less account fragmentation.
Users ask “which research step?” rather than “which brand?”.
A manageable licensing model matters for libraries making purchase decisions.
All category areas offered by research workflow — without third-party brand names.
AI tools that speed up literature review, source discovery, and bibliographic data management.
Diş hekimliği öğrenci ve akademisyenleri için klinik vaka analizi, radyoloji yorumlama ve hasta yönetimi araçları.
Eczacılık öğrenci ve akademisyenleri için ilaç etkileşim analizi, farmakoloji ve klinik araştırma araçları.
AI tools for students and faculty in nursing, sports sciences, physiotherapy, health management and other health sciences.
Veteriner Fakültesi öğrenci ve akademisyenleri için yapay zekâ araçları.
Tools that accelerate statistical analysis, interpretation, and scientific inference on large datasets.
AI tools that support systematic reviews, meta-analysis, and evidence-based research synthesis.
Versatile AI tools that don’t fit one category but streamline day-to-day academic workflows.
Tools that turn data into charts, infographics, and reports for clearer visual communication.
AI tools for students and faculty of the Faculty of Law.
Tools that help share findings widely and turn scientific content into accessible formats.
AI tools that help you read, understand, and concisely summarize scientific texts.
AI tools that ease collaboration with global research networks and joint project management.
İlahiyat Fakültesi öğrenci ve akademisyenleri için yapay zekâ araçları.
Pilotaj, uçak mühendisliği, uzay teknolojileri ve havacılık yönetimi alanlarındaki öğrenci ve akademisyenler için simülasyon, teknik analiz ve mühendislik araçları.
İşletme, yönetim, pazarlama, finans ve girişimcilik alanlarındaki öğrenci ve akademisyenler için iş analizi, strateji ve veri odaklı araçlar.
Ziraat ve Orman fakülteleri öğrenci ve akademisyenleri için yapay zekâ araçları.
Meslek yüksekokulları öğrenci ve öğretim görevlileri için yapay zekâ araçları.
Library procurement needs a clear data-protection and usage frame. The sections below summarize the approach; binding text lives on the legal pages.
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.
In line with European data-protection principles: lawfulness, transparency, purpose limitation, and data minimization. Data-subject requests are handled within the legal framework.
Under Turkey’s Personal Data Protection Law (KVKK), notice, processing grounds, and data-subject rights are described in the privacy policy.
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.
Tools support academic production; accuracy and ethical use of outputs remain the user’s responsibility. Institutions continue to apply their own academic integrity rules.
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.
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
Contact us for institutional licensing, access models, and campus-wide use.