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Mirai

About 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. 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. Mirai is used by mobile app developers, tech startups, privacy-focused businesses, and AI researchers for various applications such as enhanced user experiences, innovation without cloud infrastructure costs, secure patient data analysis, and AI curriculum development. Pricing plans include Free (up to $0 per active device per month), Pro ($0.10 per active device per month), and Enterprise (custom pricing).
Key features
- On-device AI models optimized for deployment
- Zero latency and full data privacy
- Swift integration with ready-to-use models and tools
- Smart routing engine balancing performance, privacy, and cost
- High-performance inference engine
- Cost efficiency through elimination of cloud dependencies
Use cases
- Mobile app developers incorporating AI models for enhanced user experiences
- Tech startups leveraging on-device AI to innovate without cloud infrastructure costs
- Privacy-focused businesses utilizing local data processing to adhere to strict privacy regulations
Pros
- Enables real-time, low-latency AI interactions by processing data locally on-device
- Optimizes models and runtime specifically for memory-constrained and bandwidth-sensitive environments
- Supports continuous, ambient AI interactions without isolated prompts or chat templates
- Co-designs hardware-aware inference engines and quantization schemes to maximize neural accelerator utilization
- Provides a full on-device AI stack, including SDKs, runtime, and models, for seamless integration
Cons
- Limited to on-device deployment, which may restrict access to larger models or datasets available in cloud environments
- Requires specialized optimization for Apple Silicon, potentially limiting compatibility with other hardware platforms
- Demands careful co-design across the entire stack, which may increase development complexity for non-specialized teams
Frequently asked questions about Mirai
What is Mirai and what does it do?
Mirai is an on-device AI platform that enables interactive, ambient, and continuous AI interactions by processing data locally. It provides models, runtime, and infrastructure designed to eliminate latency and ensure real-time responses on devices like Apple Silicon.
Who should use Mirai?
Mirai is aimed at developers, businesses, and researchers building AI-native applications that require low latency, high privacy, and continuous interaction without relying on cloud infrastructure.
How does Mirai achieve zero latency?
Mirai co-designs models and runtime specifically for on-device constraints, optimizing for batch size = 1, memory footprint, and neural accelerator utilization to ensure real-time performance.
Does Mirai support Android devices?
The current focus of Mirai is on Apple Silicon devices, with plans and infrastructure to potentially expand to other platforms in the future.
What kind of models does Mirai offer?
Mirai provides a range of on-device AI models optimized for memory-bound execution and real-time decoding, designed to work seamlessly within its inference engine and runtime.
How can I get started with Mirai?
Developers can begin by exploring Mirai's platform, SDK, and documentation available on the official website, which includes models, runtime, and tools for integration.
Mirai Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- United States34.6%
- India13.7%
- Vietnam9.7%
- Germany6.8%
- United Kingdom6%