Build fast, private, and predictable AI that runs where your users are. On-device first, cloud when needed
See how hybrid AI works
Example #1
Selected
Local documents summarizer 📄
Example #2
Chat recap assistant 💬
Example #3
Local files organizer 📁
Example #4
Brainstorm assistant 💡
Cloud AI wasn’t built for real products. Hybrid AI is
Hybrid inference works when you need real speed, privacy, and control.
Cloud inference:
Unpredictable costs
Vendor dependency
Limited control
Hybrid inference:
Predictable costs and performance
No vendor lock-in, no external servers
Full control
3× faster inference, 50% lower cost, and 0% data exposure
Add Hybrid AI to your product in minutes
The easiest way to add on-device + cloud inference
One SDK. One API. Automatic routing
Zero latency, full data privacy, and no inference costs.
You don’t need an ML team or weeks of setup. One developer can get it all running in minutes
Fastest inference engine for iOS and MacOS under the hood
All SOTA small models on the market supported
See the full list
Try Hybrid AI on Mac
A faster alternative to
Ollama
LM Studio
Built natively for macOS and Apple Silicon
Complete privacy & security
No upfront costs. First 10K devices for free
Private. Always-available. Affordable
Teams
Operate Smarter
Cut inference costs by half. Keep control of your data and your margins. Cloud costs grow faster than your user base. Mirai lets you scale without the trade-offs.
50–70% lower inference cost
100% private, no data leaks
Predictable performance and pricing
Works offline and scales hybrid
Developers
Build in Minutes
Run your first model locally with one command in under a minute. Test, optimize, and deploy — all through the Mirai SDK.
One SDK for local + cloud
<150 ms latency on-device
Llama, Gemma, Mistral and other SOTA models
Compatible with macOS and iOS. Android soon.
Build AI that’s ready for real products
Deploy high-performance AI directly in your app. With zero latency, full data privacy, and no inference costs
