Mirai

Mirai is an on-device AI platform designed to run high-performance AI directly within applications, eliminating latency, enhancing data privacy, and reducing inference costs. Aimed at developers and businesses looking to integrate AI quickly and efficiently, Mirai simplifies the implementation of AI with its innovative SDKs and models.

Key Features

• On-Device AI Models: Offers a range of parameter AI models (0.3B to 7B) optimized for on-device deployment, reducing AI costs by 40%.
• Zero Latency and Full Data Privacy: Processes data locally, ensuring instant responses and complete control over data privacy.
• Swift Integration: Requires no extensive machine learning teams; a single developer can set up AI integration in minutes.
• Smart Routing: Provides a routing engine that balances performance, privacy, and cost, promising up to 50% savings.

Pros

• High Performance: Delivers up to 3x performance improvement with its inference engine, especially on Apple platforms.
• Cost Efficiency: Significantly cuts AI usage costs by eliminating cloud dependencies.
• Data Security: Ensures no user data is sent to third parties, maintaining complete data privacy.
• Ease of Use: Simplifies AI integration with ready-to-use models and tools, making it accessible even for non-experts.

Cons

• Platform Specificity: Currently optimized for on-device use, which might limit cloud-based applications.
• Feature Rollout: Some features, like Android SDK and voice processing, are still pending release.
• Initial Setup: While integration is quick, a basic understanding of AI setup is still necessary.

Who Uses It

• Mobile App Developers: Incorporating AI models directly into apps for enhanced user experiences.
• Tech Startups: Leveraging on-device AI to innovate without the cost of cloud infrastructure.
• Privacy-Focused Businesses: Utilizing local data processing to adhere to strict privacy regulations.
• AI Researchers: Exploring on-device AI capabilities for cutting-edge projects.
• Uncommon Use Cases: Adopted by educational institutions for AI curriculum development; Used by healthcare providers for secure patient data analysis.

Pricing

• Free: $0 per active device per month. Includes support for up to 10,000 devices, open-source MIT license, and self-serve setup for individuals and early-stage teams.
• Pro: $0.10 per active device per month. Includes support for over 10,000 devices, standard terms, self-serve setup, and access to an analytics dashboard for growing apps.
• Enterprise: Custom pricing per active device per month. Includes support for a custom number of devices, custom terms, implementation support, analytics dashboard, custom model support, priority Slack support, and significant volume discounts.