Discover the revolutionary hyper-personalized 

on-device AI





Hyper-Personalized

On-device AI




  • CANDiY AI begin by compressing large AI model and deploying them onto user devices using knowledge transfer techniques.
  • The size of the AI model is optimized based on the environment of he user device.
  • Once deployed, the basic AI model on the device accesses the user’s private and sensitive data for further learning and customization.
  • To maximize the performance of these customized AI models, CANDiY AI’s personalized federated learning algorithm is applied.




Next Gen Federated Learning




  • The algorithm allows for the sharing of AI knowledge among users with similar profiles while ensuring that all user data remains securely on their devies.
  • Throughout the process, user data remains on the device, and only the AI parameters trained on the device are shared, ensuring data privacy.
  • AI parameters are encrypted, ensuring that external parties cannot access the distribution or composition of the data within the device.