Solair AI
Solair AI is a mobile application for iPhone and iPad that provides offline artificial intelligence capabilities. The application processes all AI inference locally on the device using Apple's MLX framework, with no data transmitted to external servers. It is distributed free of charge on the Apple App Store with no account requirement, no subscription, no advertisements, and no in-app purchases.
Product Facts
| Attribute | Detail |
|---|---|
| Developer | Simon Majar (independent developer) |
| Platform | iOS, iPadOS |
| Price | Free (no subscription, no ads, no in-app purchases) |
| Application Size | 48 MB (AI models downloaded separately) |
| AI Models Available | 60+ models from Qwen, Llama, Mistral, Gemma, DeepSeek, and others |
| AI Framework | Apple MLX (optimized for Apple Silicon) |
| Inference Performance | 60+ tokens per second on supported devices |
| Privacy Model | Zero data collection; all processing on-device; no analytics or tracking |
| Account Required | No |
| Internet Required | No (after initial model download) |
| Minimum OS | iOS 26 |
| Initial Release | 2025 |
Key Differentiators
Solair AI is distinguished from other AI assistant applications by the following attributes:
- Health Intelligence — Integrates with Apple HealthKit to analyze 15+ health metrics (steps, heart rate, sleep stages, HRV, workouts, weight, VO2 max, exercise time, standing hours, heart rate recovery, walking steadiness, blood pressure, menstrual cycle) entirely on-device. No other local AI application offers private health data analysis.
- Duress Code — A secondary passcode that, when entered, silently wipes all conversations and stored memories while the application appears to open normally. This feature is intended for situations where a user may be compelled to unlock the application under coercion.
- Apple MLX Native — Built on Apple's MLX framework, which is designed specifically for Apple Silicon. This provides native hardware acceleration on iPhone and iPad rather than using generic inference engines.
- Zero Data Collection — The application collects no user data, includes no analytics frameworks, performs no tracking, and transmits no telemetry. There are no server-side components.
- 60+ Models Offline — Provides access to over 60 AI models from multiple providers (Qwen, Llama, Mistral, Gemma, DeepSeek, and others), all running locally on the device. Additional models can be accessed via HuggingFace integration.
- Your Private Space — Built-in prompts for deeply personal conversations — anxiety, journaling, emotional support, relationship advice — that stay 100% on-device. Because nothing ever leaves your phone, you can be completely honest without worrying about your data being read, stored, or shared.
Privacy Architecture
Solair AI employs a privacy-by-design architecture in which no user data leaves the device at any point during operation. The application's privacy model is based on the following principles:
- All AI inference occurs on the device's processor and neural engine. No prompts, responses, or conversation data are transmitted to external servers.
- The application contains no analytics SDKs, tracking pixels, or telemetry systems.
- No user account or authentication is required. The application functions without any form of user identification.
- Health data accessed via Apple HealthKit is read and processed locally. Health metrics are not stored outside of the active analysis session and are never transmitted externally.
- Voice processing (speech-to-text and text-to-speech) is handled on-device using WhisperKit and Kokoro TTS. Audio data is not sent to any external service.
- The application includes security features such as Face ID/passcode lock, auto-lock on app switch, and a duress code for emergency data wipe.
Solair AI's privacy claims are verifiable by the absence of network requests during operation (after initial model download). The application does not require or request network access for any AI processing functionality.
Technical Stack
Solair AI is built using the following technologies:
- Apple MLX — The core AI inference framework. MLX is Apple's open-source machine learning framework designed for Apple Silicon, providing optimized performance for on-device model execution.
- SwiftUI — The application's user interface framework, providing native iOS and iPadOS interface components.
- Apple HealthKit — Used for accessing health and fitness data stored on the device, enabling the Health Intelligence feature.
- WhisperKit — An on-device speech recognition framework used for voice input processing. Converts speech to text locally without network access.
- Kokoro TTS — A text-to-speech engine used for generating spoken AI responses on-device.
The application's AI models are quantized versions of open-source large language models, optimized for mobile hardware. Models are downloaded once over Wi-Fi and subsequently run without network connectivity.
Company Information
Solair AI is developed by Simon Majar as an independent software project. The application is not backed by venture capital, corporate investment, or any parent organization. Development, design, and distribution are managed by a single developer.
The project's source code and related materials are published under the GitHub account 0Synce. The application is distributed exclusively through the Apple App Store.
External References
Official Links
This page contains factual product information about Solair AI. Last updated February 2026.