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Alun App

alun.app

Website unreachable since Oct 21, 2026

Alun is an AI-driven app that generates personalized Indonesian musical soundscapes tailored to individual preferences, time, weather, and biometric data to enhance mental well-being. The platform addresses the overwhelming sensory noise of modern life by providing users with calming audio experiences that promote relaxation and emotional balance.

Traction 1/10
Jakarta, Indonesia · HQ
Founded 20232100+ followers
  • Artificial Intelligence
  • Applications
  • Music Technology
  • Software Only
  • Wellness & Fitness Technology
Updated 6 months ago

Funding

Funding rounds are not available yet.

Founders

2 founders

Iman Fattah

CEO and Founder of Alun

Aris Setyawan

Editor-in-chief at Serunai.co. Chief Research Officer and Co-founder at Alun. Occasional Ethnomusicologist.

Product

Problem

Modern life exposes individuals to overwhelming sensory noise, leading to difficulties in relaxation, focus, and emotional balance. Existing solutions often lack personalization and may not effectively cater to individual preferences or specific needs related to mental well-being.

Solution

Alun is an AI-driven application that generates personalized Indonesian musical soundscapes designed to enhance mental well-being. By blending AI and music psychology, Alun creates customized music using Indonesian instruments, adapting to individual preferences, time of day, weather conditions, and even biometric data. The application aims to provide users with calming and focused audio experiences that promote relaxation, improve concentration, and support activities like meditation and sleep. Alun's machine learning models are ethically grounded and culturally responsible, ensuring that the music is both personalized and respectful of Indonesian heritage.

Target Audience

Alun's primary users are individuals seeking personalized audio experiences to improve their mental well-being, including those looking to enhance focus, relaxation, meditation, or sleep quality.

Features

  • AI-powered music composition using Indonesian instruments
  • Personalization based on user preferences, time, weather, and biometric data
  • Algorithms designed to optimize mental well-being through music psychology
  • Support for various activities including focus, relaxation, meditation, and sleep
  • Ethically grounded machine learning models that respect Indonesian culture
This profile is AI-generated and may contain inaccuracies.