What is Privacy AI?
It provides access to advanced open-source AI models like LLaMA, Mistral, and more, allowing for personalized and secure interactions. Users can adjust settings such as sampling temperature and system prompts to fine-tune responses.
Problem
Users rely on online AI models that may compromise their privacy and security by sending data to external servers.
Drawbacks of the old situation: Users have limited control over their data, risking exposure to breaches and privacy violations.
Solution
Mobile application empowering users with access to offline AI models for privacy-focused interactions.
Core features: Access to advanced open-source AI models like LLaMA, Mistral, etc., personalized user interactions, adjustable settings for sampling temperature and system prompts.
Customers
Primary Users: Privacy-conscious individuals, security enthusiasts, professionals in industries sensitive to data privacy.
Users who prefer personalized and secure interactions through AI models.
Unique Features
Utilization of offline AI models ensuring user privacy and security during interactions.
Customizable settings for fine-tuning responses based on sampling temperature and system prompts.
User Comments
Highly impressed by the privacy-focused approach of this AI tool.
Flexible settings for personalized interactions have enhanced user experience.
Effective use of advanced AI models contributes to secure interactions.
The offline functionality is a key differentiator from other AI models.
Users appreciate the control they have over their data privacy.
Traction
Growing number of users shifting towards this product for privacy-conscious AI interactions.
Positive reviews and feedback indicating user satisfaction with the personalized and secure features.
Market Size
$17.3 billion: Global market size for privacy-focused AI tools and technologies, with a growing demand for secure and personalized AI interactions.
