ZultaAI is a mobile Android app that implements on-device Large Language Models (LLMs) for secure note-taking. By running Google’s Gemma 4 model locally, it ensures all data stays on your hardware. SAVE 50% for launch! Features: Dual Input: Voice transcription and rich text editing. AI Analysis: Automated summaries, tagging, and task extraction. Private Chat: Query your entire note vault offline. Security: SQLCipher encryption and biometric locking. 100% Offline: No data leaves your phone.
Hello everyone,
I am launching ZultaAI today as a solution for on-device AI productivity. The project was built on a single architectural principle: keeping all user data and AI inference strictly on the local hardware.
By utilizing Google’s Gemma 4 E2B model, ZultaAI provides transcription, summarization, and a searchable knowledge base without the need for cloud infrastructure or data-sharing agreements.
For those testing the application, please keep in mind:
Model Initialization: Core operations require an initial 2.8GB model download to your device.
Hardware: Performance is optimized for modern mobile SoCs with 6GB+ of RAM.
Encryption: All storage is secured via SQLCipher and biometric locking by default.
I am particularly interested in technical feedback regarding the on-device inference speed and the accuracy of the action item extraction. I will be available throughout the day to discuss the implementation details or any specific feature requirements you may have.
Thank you for your time.
NOTE: App is only available for 6gb+ ram devices.
SAVE with 50% launch discount!
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