Legal
Privacy Policy
How Taiyyaree collects, uses, and protects your personal information.
Last updated: August 23, 2026
Our Commitment
At Taiyyaree, we are committed to maintaining the confidentiality, integrity, and security of your personal information. This Privacy Policy details our practices regarding data collection, usage, and protection in the context of our academic assessment platform.
This Privacy Policy applies to the Taiyyaree platform, services, and associated applications. It governs our data collection, processing, and usage practices. By utilizing our academic assessment services, you consent to the data practices described in this statement.
We recognize the sensitive nature of academic performance data and personal identifiers. Our infrastructure is designed with privacy-first principles to ensure your focus remains solely on academic excellence.
Information We Collect
To provide rigorous and precise academic assessments, Taiyyaree collects various types of information:
- check_circleFull name, institutional affiliation, and academic identifiers (e.g., student ID).
- check_circleContact information including primary email address and telephone number.
- check_circleAuthentication credentials securely hashed within our database.
- check_circleDetailed performance metrics: responses submitted, time spent per query, and systemic interaction logs.
- check_circleDevice diagnostics: operating system, browser specifications, and IP address for session integrity.
- check_circleProctoring data (when applicable): video/audio streams during secure examination sessions.
How We Use Your Information
The core utility of collected data is to deliver, maintain, and refine the Taiyyaree assessment engine:
- check_circleAcademic Evaluation — calculating scores, generating percentile rankings, and providing detailed analytical feedback on test performance.
- check_circleSystem Integrity — detecting anomalous behavior indicative of academic dishonesty or technical manipulation.
- check_circlePlatform Optimization — utilizing aggregated, anonymized metrics to improve algorithmic question selection and platform responsiveness.
- check_circleCommunication — transmitting essential administrative notices, examination schedules, and performance reports.