Run real LLM pipelines directly on user devices. Without changing your cloud or business logic
Run your models natively on MacOS, iOS, and Android devices
Mirai extends your model’s reach to user devices, keeping your cloud strong while unlocking new speed and privacy benefits locally.
Cloud stays essential.
The market has already invested billions in GPUs — keep your existing infrastructure.
Devices got powerful.
Macs, laptops, and mobile chips can now handle real inference — it’s time to use that power.
Latency belongs local.
Chat, voice, and content flows respond instantly when run on-device.
Privacy is native.
Keep user data on their machine and sync only what’s safe to the cloud.
For model makers
Extend your model beyond the cloud
Keep your inference backend. Add Mirai to expose part of your pipeline on user devices.
Key benefits:
Mirror your existing pricing. Tokens, licenses, revshare.
Offload latency-sensitive or private steps to the device.
Stay model owner. Mirai is just the runtime.
Neutral to frameworks and hardware.
Zero infra rebuild. One SDK integration.
Fastest inference engine for iOS & MacOS under the hood
Our runtime outperforms open stacks like MLX, llama.cpp, and Ollama — built natively for iOS and macOS.
For developers
Build faster, test locally
Try Mirai SDK for free.
Free 10K Devices
Drop-in SDK for local + cloud inference.
Model conversion + quantization handled.
Local-first workflows for text, audio, vision
One developer can get it all running in minutes
Users don’t care where your model runs – they care how it feels
Mirai makes real-time, device-native experiences that feels seamless for the users.
Sub-200 ms responses for text, audio, and vision.
Offline continuity — no network, no break.
Consistent latency, even under load.
We are building with the best model and infra teams
Embedding ultra-low-latency voice directly on-device for instant, private audio inference.
Expanding the hybrid cloud layer to make cloud-device orchestration seamless.
Run your models locally. Extend your cloud
Run real LLM pipelines directly on user devices — without changing your cloud or business logic.
