AURA runs 1B-class LLMs natively on Android with LiteRT. No cloud dependency, no query telemetry, and no transfer of sensitive user intent to external model providers.
Prompts stay on-device. No token stream leaves the phone.
Sensitive medical queries can be asked without profiling risk.
No OpenAI, Google, or Anthropic telemetry from AURA sessions.
1B-class reasoning on Android microprocessors via LiteRT.
Two years ago, running this class of model on a phone looked unrealistic. Today it is practical and, for sensitive workflows, necessary.
Cloud AI systems are powerful, but they create long-term digital footprints. AURA was designed to remove that dependency for privacy-critical use cases.
Health, legal, and personal intent data should remain with the user. AURA keeps inference local and supports decentralized AI as a product principle, not a marketing tagline.
Repo and Play Store publication are in active test-phase pipeline.