Mirai

SDK for AI developers to deploy and run models directly on user devices for speed and privacy.

Verified API available Free tier
Quick facts
What is it SDK for AI developers to deploy and run models directly on user devices for speed and privacy.
Pricing Freemium
Free tier Yes
Platform API
API Yes
Best for Deploying AI models to mobile apps, Reducing cloud inference costs
Domain registered 2025

Data updated Aug. 1, 2026

What does Mirai do?

Mirai is a developer-focused SDK that acts as an on-device layer for AI. Its core function is to enable AI model makers and product teams to deploy and run their models directly on end-user devices, like iPhones and Macs, instead of solely relying on cloud servers. This means parts of an app's AI processing can happen locally on the user's own hardware.

It works by providing the infrastructure to take models of any architecture and make them operable on consumer devices. The standout value is a hybrid approach: developers can keep their cloud infrastructure for heavy tasks like training, but offload inference to the device. This leads to two major benefits: dramatically reduced latency for real-time features like chat, and inherent user privacy since sensitive data never has to leave the device. It's built specifically to leverage the growing power of modern mobile and computer chips.

The primary beneficiaries are AI developers and companies building AI-powered applications, especially those where speed or data privacy are critical selling points. Real-world use cases include a voice assistant that responds instantly without a network call, a photo editing app that applies AI filters locally, or a health app that analyzes personal data without ever sending it to a server. It's a tool for engineers who want to build faster, more private, and potentially more cost-effective AI experiences.

#ai infrastructure#apple devices#local inference#model deployment#on-device ai#privacy#sdk

Key features

What makes it stand out
01
Run AI models natively on Apple devices
02
Extend model reach to user devices for local inference
03
Free up cloud GPUs for tasks that truly need scale
04
Reduce latency for instant chat and voice interactions
05
Ensure user privacy with on-device data processing

Who is Mirai for?

Who benefits most from this tool
Deploying AI models to mobile apps
Reducing cloud inference costs
Building privacy-first AI features

Trust & presence

Domain Domain registered 2025

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