Enables deployment of high-performance artificial intelligence directly into mobile and desktop applications.
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Mirai is a solution for high-performance artificial intelligence that runs directly on the device (on-device AI). It allows developers and companies to deploy AI models directly within their applications, ensuring complete data privacy, zero latency, and no inference costs. The core value of Mirai lies in providing powerful AI capabilities without the need to send data to external servers, which is critical for applications handling sensitive information or requiring instant response.
Key capabilities: integration of pre-trained or custom neural network models into mobile (iOS, Android) and desktop applications; execution of computer vision, natural language processing, and generative AI tasks directly on the user's device; optimization of models to work with various hardware accelerators (GPU, NPU); tools for model compression and acceleration without significant loss of accuracy; local inference execution, guaranteeing complete data privacy; and support for popular machine learning frameworks to facilitate the implementation process.
A key differentiator of Mirai is its on-device oriented architecture, which completely eliminates dependency on cloud APIs and internet connectivity. This not only reduces operational costs to zero after model deployment but also ensures predictable and stable performance. Technically, the platform provides SDKs and tools for developers, simplifying the process of importing, optimizing, and implementing models into the final product. Mirai supports cross-platform development and can be integrated into existing technology stacks, accelerating the time-to-market for products with AI functionality.
Ideal for mobile and desktop application developers who want to add AI features, such as object recognition, photo stylization, or intelligent text input, without data leaks and cloud costs. The solution is also in demand in industries with strict privacy and security requirements: healthcare, finance, personal assistants. Use cases include offline camera filters, instant document analysis, private voice assistants, and embedded recommendation systems in games or retail applications.