Experience music that adapts to you — in real time.
Our GPU-accelerated recommendation engine blends audio signal, raga/time-of-day, mood/context, and listening behavior into a unified 315‑dimension profile. Enjoy smarter next‑song predictions, fewer skips, and an infinite Smart Radio that evolves with your feedback.
Request a DemoNext‑Song Prediction
Bidirectional LSTM + attention over 50×315 feature sequences deliver fast, accurate recommendations — tailored to context.
Skip Prediction
Identify likely skips before they happen; pre‑filter queues and optimize shuffle for smoother sessions.
AI Audio Enhancement
Noise reduction, dynamic range compression, spectral enhancement, and normalization for consistent quality.
Projected Performance
Prediction latency*
Top‑5 accuracy*
GPU utilization*
50‑song batch*
* Internal benchmarks. Results vary with data, hardware, and tuning.
Smart Radio
Infinite, AI‑curated playback that respects mood and time‑of‑day — adapts to likes/skips in real time.
Developer‑Ready APIs
- POST /predict/next
- POST /predict/batch
- POST /predict/skip/{song_id}
- POST /enhance/{song_id}
- POST /radio/start
- GET /radio/{station_id}/next
Observability & Control
Model info, GPU status, health checks, and admin training endpoints keep ops confident.
Get Started
Deploy the Advanced Phase and bring adaptive listening to life. Contact us for a guided demo and integration plan.
Contact SalesDisclaimer
This website is for learning purposes only.
This website serves as an AI testbed, where we research and develop various song shuffle algorithms using artificial intelligence. All commercial queries related to AI Shuffel algorithms, please mail us (kavaiya_at_gmail_dot_com). All content and materials provided are for educational, testing, introduction, and promotional purposes only, and are made available under the Creative Commons License CC BY-NC-SA. You can learn more about the license by clicking here: CC BY-NC-SA. Please note that we do not offer any downloadable materials or content from this website. By continuing to browse this site, you agree to the terms outlined here. If you do not agree with these terms, please exit the site immediately. Your continued use of this site confirms your understanding of and compliance with this disclaimer, and absolves the site of any future responsibility. The materials and content available on this site are sourced from various public domain resources across the web. We make no claims to ownership. All logos, trademarks, and other proprietary materials belong to their respective owners. Commercial rights and copyrights remain with the original content creators. If you access any of these materials or contents, you are required to delete them within 24 hours and obtain them legally from authorized sources, either locally or through official online stores.
If you are the rightful owner of any contents posted here, and object to them being displayed or If you are one of representativities of copy rights department and you don't like our conditions of store, please mail us (kavaiya_at_gmail_dot_com) immediately and we will delete it!