Mirai
SDK for AI developers to deploy and run models directly on user devices for speed and privacy.
| 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.
Key features
What makes it stand outWho is Mirai for?
Who benefits most from this toolTrust & presence
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