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.
Expert Video Review by SEOGANT · March 2026
Mirai is an on-device AI platform that enables developers to integrate high-performance language models directly into Apple device applications, eliminating the latency, privacy risks, and inference costs that come with routing AI calls through cloud APIs.
By running AI entirely on-device on iPhone, iPad, Mac, and Apple Silicon hardware Mirai delivers instant responses, ensures that sensitive user data never leaves the device, and reduces AI operating costs by up to 40% compared to equivalent cloud-based deployments.
The platform supports a range of model sizes from 0.3 billion to 7 billion parameters, all optimized specifically for Apple's hardware architecture and neural engine.
This size range covers the full spectrum from lightweight models suitable for simple classification and conversational tasks to more capable models that can handle complex reasoning, code generation, and nuanced language understanding giving developers the flexibility to match model capability to task requirements without overpaying for unnecessary compute power.
Developer experience is a central design priority for Mirai. Integration is designed to be fast enough that a single developer can set up on-device AI within minutes rather than days, without requiring a dedicated machine learning team or extensive MLOps infrastructure.
The platform provides a clean SDK with straightforward APIs, handling the complex model optimization, quantization, and hardware acceleration layers underneath so that developers can focus on building product features rather than AI infrastructure.
Mirai's intelligent routing engine goes beyond simple model deployment by automatically balancing performance, privacy, and cost across different inference scenarios.
Rather than forcing all AI calls through the same model regardless of complexity, the routing engine evaluates each request and directs it to the most appropriate model variant maximizing response quality while minimizing unnecessary resource consumption.
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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. Alternatives: PhonePi MCP, Bellink, Composio, Komos - AI That Runs Your Repetitive Work, biela.dev, Rocket, SureThing.io
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