AI Solutions for Research and Scholarly Publishing
A modern platform offering a 360° research experience powered by AI and the OpenAlex dataset.
What is SCiNiTO?
A research ecosystem powered by OpenAlex, topped by AI, which is by far one of the largest repositories of scholarly data. SCiNiTO adds value by providing an intuitive user experience in line with what researchers have come to expect.
- Full text access to millions of Open Access articles.
- Add your owned and subscribed content list to access full text of all resources.
- AI Chat acts as your modern research assistant.
- Faceted search to narrow down and find articles fast.
- Journal Recommendations to help you decide where to publish an article, or to discover similar research and researchers.
- The AI Reviewer Agent assists in refining your manuscript with insightful feedback, covering all essential sections of your paper.
Smart Search
Search over 260M+ scholarly records from OpenAlex with powerful filters.
- Filter by author, venue, institution, country, year, SDG, and more
- Bookmark articles and explore citations & references
- Access to 50M+ full-text Open Access links
- Export citations in various formats
AI Chat
Ask research questions in natural language and get accurate, referenced answers with AI-powered understanding.
- Multilingual (English, Arabic, Chinese, etc.)
- Linked to OpenAlex scholarly database
- Supports literature review, topic analysis, and definitions
- Includes trending questions and search history
Journal Recommender
Find the most suitable journal for your manuscript using AI analysis of your title and abstract.
- Filters by Open Access, Quartile, SJR, H-Index
- Linked to journal publisher and related articles
- Smart ranking using AI + OpenAlex metadata
- Exportable journal data for planning submissions
AI Reviewer Agent
Upload your manuscript and receive instant, structured feedback across all sections.
- Section-by-section evaluation (Abstract to References)
- Suggestions on clarity, logic, and flow
- Reduces revision cycles before journal submission
- Saves time vs. waiting for peer review
Powered by OpenAlex, enhanced by your institutional holdings
The biggest scientific knowledge base with about twice the coverage of the other services, and significantly better coverage of non-English works and works from the Global South.
Data Access
The records in the system will carry access links to the sources of the information. To access a non-open access article your institution needs to have valid subscription.
Institutional Subscription
Integrating subscription information of universities or institutions to enhance search and full text access experience of researchers.
Open Access
51+ million records and counting. SCiNiTO database is now actively processing all the items for open access links. Integrating with other sources in internet such as Unpaywall has opened up a new era.
Social
Create a project and add articles related to the project. Invite colleagues, co researchers, and students to form a research group and work collaboratively on the topic.
References, Citations, Related
Each work has a list of references used in writing the work, as well as a list of those who have cited the work. Related works suggest other articles who are relevant to the current work.
One Click Search
More often full text of subscription-based works may be found by a google search. Just click on the icon and it searches automatically
Use Case
— The Ministry has integrated SCiNiTO with the Egyptian Knowledge Bank (EKB). SCiNiTO enables seamless access to both national subscription content and institutional data. Researchers across Egypt benefit from AI-enhanced discovery tools, including AI Chat and full-text access, improving national research productivity and resource utilization.
Egyptian Knowledge Bank – - EKB
— Dr. Aliyari used SCiNiTO to assist in literature discovery and project organization. He found SCiNiTO especially valuable in navigating multidisciplinary cancer research literature quickly and organizing references within collaborative projects.
Dr. Shahram Aliyari – - Guest Researcher- German Cancer Research Center (DKFZ)
— Saman used SCiNiTO’s AI Chat and advanced search for conducting a literature survey in her domain. He reported a significant reduction in time spent finding and analyzing relevant works, boosting the efficiency of her research workflow. He praised the Journal Recommender in SCiNiTO, noting that it outperformed traditional tools in terms of matching the scope, impact factor, and relevance.
Saman Behrouzi - PhD Candidate at TU Delft
Schedule a One-on-One Demo Meeting
Let's meet. We will show and explain all features.