Technology to help understand people better, not to classify them
We treat the technology we build not as a tool that reduces a student to a single result or decides on their behalf, but as a structure that helps observe development and support institutions’ evaluation processes.
Human oversight
The system does not decide in place of institutional experts. Indicators are evaluated with a qualified interpreter.
Data minimisation
Only data necessary for the purpose is processed; raw movement data is not stored permanently.
Transparency
The user and institution can understand which data is processed and why; stealth measurement is clearly disclosed.
Age-appropriate design
The experience of children and young users is designed appropriately for their age; child assent is observed.
No labelling
The student is not placed in a fixed category; the language is developmental and probabilistic, not a definitive judgement.
Responsible access & security
Role-based access, deletion and retention processes and security controls are essential; data is kept domestically.
This approach is carried out together with our KVKK compliance roadmap, TÜBİTAK-supported research-ethics requirements and principles for the protection of children’s data.
Let’s evaluate our responsible data approach together.
Talk to our team about ethics, privacy and data security.