In the academic publishing process, having manuscripts rejected by journals or returned by reviewers can result in significant time loss and frustration for researchers. Tedkik, a 100% locally developed academic initiative designed to help researchers strengthen their work before submitting it for peer review, is available for trial access until November 15, 2026.

Tedkik is an AI-powered academic evaluation platform that provides an in-depth analysis of articles, theses, and academic projects based on uploaded DOCX documents across 12 different analytical dimensions, including Formal Structure, Argument Strength, Literature Analysis, Risk Analysis, and the CONSORT 2025 Clinical Study Standard.

The system evaluates your work based on the standards of SCI, SSCI, AHCI, and Scopus-indexed journals, identifying weaknesses and opportunities for improvement and providing evidence-based reports.

• Closed-Loop Server Infrastructure: The entire analysis process takes place within Tedkik's own secure and isolated infrastructure. Your data is never transferred to an external cloud system.

• Zero API Connections: The platform is not connected to any third-party platform or external AI API. No data is transmitted outside the platform at any stage of the process.

• Not Used for Model Training: Uploaded documents and analysis results are never used to train AI models. Your data is used solely for the analysis of your work.

• KVKK Compliance and Document Ownership: All processes are carried out in accordance with Türkiye's Personal Data Protection Law (KVKK No. 6698), and all copyright and ownership rights to uploaded documents remain entirely with the user.

• 12 Analysis Categories (0–100 Scoring Scale): Assess your work across various dimensions, from argumentation and readability to simulated blind peer review and formal analysis.

• Evidence-Based Results: The system does not only provide scores; it highlights each finding directly on the original document and provides references to the relevant sections.

• Collaboration and Version Comparison: Compare revised documents with previous versions and securely review your work collaboratively with team members.

📘 User Guide