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About Mirai
Mirai is an AI solution designed to offer high-performance on-device artificial intelligence. It allows users to deploy AI directly within their apps, ensuring full data privacy, zero latency, and no inference costs. What sets Mirai apart is its focus on immediate implementation, as this tool can be integrated within minutes rather than days, eliminating the need for extensive setup or having a machine learning team. Mirai's key functions include handling inference, routing, and optimization. Its inference software development kit (SDK) is recognized for its speed, especially in the Apple platform, providing improved performance. Mirai's models are designed to be cost-effective, boosting business goals while reducing AI costs. Its routing engine enables full control over performance, privacy, and price. On-device deployment adds another layer of cost-effectiveness, eliminating connectivity dependencies and ensuring consistent performance regardless of network conditions. With Mirai, user data is not sent to third parties; full control over data storage and processing is maintained. It comes equipped with ready to use models and tools, supporting various on-device use cases. This includes but not limited to conversational AI, text classification and summarization, and custom use case build-ons.
Pros
- Full data privacy
- Zero latency
- No inference costs
- Immediate implementation
- No need for ML team
- Quick integration in apps
- Inference, routing, optimization features
- Fast inference SDKOptimized for Apple platform
- Control over performance, privacy, price
- Eliminates connectivity dependencies
- Consistent performance
- User data not sent to third parties
Cons
- Android SDK not available
- Dependent on device performance
- In-app only deployment
- No third-party integration
- Limited pre-built models
- Doesn't support voice processing
- Doesn't support image processing
- Unoptimized for non-Apple platforms
- No cloud inference capabilities