Runs AI models privately and offline on Apple devices.
Product memo
Locally AI serves Apple users who need to run AI models directly on their devices, ensuring privacy and offline access. It stands out by optimizing for Apple Silicon and MLX, integrating with native iOS and macOS features like Siri and Shortcuts. This approach offers a high-performance, privacy-first alternative to cloud-based AI, leveraging device capabilities for a direct user experience.
For who
iPhone, iPad, and Mac users
Solves what
Running AI models locally and privately on Apple devices.
- Offline AI model execution
- Apple Silicon optimization
- Local voice mode
In their own words
Run AI models locally on your iPhone, iPad, and Mac.
Run Llama, Gemma, Qwen, DeepSeek, and more locally on your iPhone, iPad, and Mac. Offline. Private. No login. Optimized for Apple Silicon.
Experience the future of AI. Running completely on your device with uncompromising privacy and performance.
Commercial cues
Model
contact only
Free tier
No
Trial
No
Pricing Strategy
Pricing is custom and contact-only, indicating a focus on tailored products for enterprise AI model deployments.
- • No public pricing requires direct sales engagement for product scoping.
- • The custom tier addresses unique requirements for on-device AI integration.
- • Public prices are not listed.
Operator context
Founded
Nov 2025
Platform
Plugin / ecosystem
Audience
Developers
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Locally AI + Qwen Expand
Locally AI provides a product for running artificial intelligence models directly on Apple devices, including iPhone, iPad, and Mac. It targets users who prioritize data privacy and the ability to operate AI models offline.
The product achieves this by deeply integrating with Apple's ecosystem, leveraging Apple Silicon optimization and features like Siri and Shortcuts. This offers a alternative to cloud-based AI services, serving individuals and enterprises that require secure, high-performance local AI processing without compromising data sovereignty.