Mirai: Fast, Secure On-Device AI for Mobile Apps
Frequently Asked Questions about Mirai
What is Mirai?
Mirai is an AI platform that helps developers run AI models right on devices like smartphones. It provides software kits (SDKs) for Apple and Android phones, which include tools to load models and make predictions. Mirai's goal is to be fast, protect user privacy, and save money. Unlike other systems that rely on internet connections to work, Mirai lets AI run locally on the device. This makes it quick to respond and keeps data safe.
The platform offers a variety of AI models, from 0.3 billion to 7 billion parameters. These models can do many tasks, such as chatting with users, classifying text, summarizing information, processing images, and recognizing speech. Developers can use Mirai to add real-time AI features to mobile apps, like voice commands, image analysis, or private AI services.
Mirai's SDKs make it easy to connect AI models within mobile apps. It also includes a smart routing engine that helps control how well the AI works and how much it costs to run. Developers can optimize performance and manage expenses. A key benefit of Mirai is that it doesn’t need cloud servers, which reduces latency, improves security, and lowers costs.
Pricing for Mirai starts with a free tier that supports up to 10,000 devices, making it accessible for small projects or testing. For larger needs, there are paid plans available. This pricing model helps businesses of all sizes adopt on-device AI.
Main use cases for Mirai include embedding AI into mobile apps for faster, offline processing, deploying conversational AI and voice assistants, enabling image recognition without internet, and building private AI solutions that keep data on the device.
Developers can quickly implement Mirai by integrating its SDK into their apps. This process involves loading models directly on the device, then running AI tasks like inference or data processing locally. Overall, Mirai stands out by simplifying AI deployment on mobile, providing high performance, protecting privacy, and reducing costs, making it ideal for AI engineers, mobile developers, data scientists, and product managers.
Key Features:
- On-device inference
- SDK integration
- Model loading
- Smart routing
- Performance optimization
- Privacy focus
- Cost efficiency
Who should be using Mirai?
AI Tools such as Mirai is most suitable for AI Developers, Mobile App Developers, Data Scientists, Product Managers & AI Engineers.
What type of AI Tool Mirai is categorised as?
What AI Can Do Today categorised Mirai under:
How can Mirai AI Tool help me?
This AI tool is mainly made to on-device ai deployment. Also, Mirai can handle deploy models, integrate sdk, optimize performance, run inference & implement use cases for you.
What Mirai can do for you:
- Deploy models
- Integrate SDK
- Optimize performance
- Run inference
- Implement use cases
Common Use Cases for Mirai
- Integrate AI in mobile apps for real-time processing
- Deploy conversational AI on devices
- Implement image recognition locally
- Enable voice commands without internet
- Build private AI applications
How to Use Mirai
Developers can integrate Mirai's SDKs into their applications to run AI models directly on devices like iPhones and Android phones, enabling low-latency AI tasks without relying on cloud services.
What Mirai Replaces
Mirai modernizes and automates traditional processes:
- Cloud-based AI models with local inference
- Traditional mobile app AI features
- Server-dependent AI services
- External AI API calls
- Manual AI model deployment efforts
Mirai Pricing
Mirai offers flexible pricing plans:
- Free tier (10K devices): $0
Additional FAQs
How does Mirai improve AI deployment for mobile apps?
Mirai makes it easier and faster to deploy AI models directly on devices, reducing costs and latency.
Is there a cost for using Mirai?
The free tier allows up to 10,000 devices without charges, with paid plans available for larger scale.
Discover AI Tools by Tasks
Explore these AI capabilities that Mirai excels at:
- on-device ai deployment
- deploy models
- integrate sdk
- optimize performance
- run inference
- implement use cases
AI Tool Categories
Mirai belongs to these specialized AI tool categories:
Getting Started with Mirai
Ready to try Mirai? This AI tool is designed to help you on-device ai deployment efficiently. Visit the official website to get started and explore all the features Mirai has to offer.