On-device layer for AI model makers & products
Deploy and run models of any architecture directly on user devices
On-device layer for AI model makers and products.
Deploy and run models of any architecture directly on user devices.
Trusted + backed by leading AI funds and individuals
Scout
Fund
Scout
Fund
Thomas Wolf
Co-founder
Marcin Zukowski
Co-founder
Laura Modiano
Startups EMEA
Siqi Chen
CEO
Mati Staniszewski
Co-founder, CEO
Trusted + backed by leading AI funds & individuals
Scout
FundScout
FundThomas Wolf
Co-founderMarcin Zukowski
Co-founderLaura Modiano
Startups EMEASiqi Chen
CEOMati Staniszewski
Co-founder, CEO
Trusted + backed by leading AI funds and individuals
Scout
FundScout
FundThomas Wolf
Co-founderMarcin Zukowski
Co-founderLaura Modiano
Startups EMEASiqi Chen
CEOMati Staniszewski
Co-founder, CEO
Trusted + backed by leading AI funds & individuals
Scout
FundScout
FundThomas Wolf
Co-founderMarcin Zukowski
Co-founderLaura Modiano
Startups EMEASiqi Chen
CEOMati Staniszewski
Co-founder, CEO
Run your models
natively on Apple devices
Extend your model’s reach to user devices. Run local inference for speed and privacy. Free your cloud GPUs for what truly needs scale
Devices got powerful.
Modern computer and mobile chips can now run real inference. Use that local power.
Cloud stays essential.
Keep your existing infrastructure. Let it focus on what the cloud does best: training, reasoning, and scale.
Latency belongs local.
Running inference on-device keeps chat and voice instant, the kind of speed no cloud can deliver.
Privacy is native.
Local inference filters, analyzes, and syncs only what’s safe. Giving full trust and control.
Run your models natively on Apple devices.
Extend your model’s reach to user devices. Run local inference for speed and privacy. Free your cloud GPUs for what truly needs scale
Devices got powerful.
Modern computer and mobile chips can now run real inference. Use that local power.
Cloud stays essential.
Keep your existing infrastructure. Let it focus on what the cloud does best: training, reasoning, and scale.
Latency belongs local.
Running inference on-device keeps chat and voice instant, the kind of speed no cloud can deliver.
Privacy is native.
Local inference filters, analyzes, and syncs only what’s safe. Giving full trust and control.
Built for model makers
Extend your model beyond the cloud
Process part of your user requests directly on user devices. Keeping your inference backend
Keep your inference backend. Add Mirai to expose part of your pipeline on user devices
Key benefits
Key benefits
Instant, private inference.
Instant, private inference
Near-zero latency and full data privacy.
Near-zero latency and full data privacy
Route requests between device & cloud.
Route requests between device & cloud
Based on your custom rules.
Based on your custom rules
Add and run any custom model architecture.
Add and run any custom model architecture
Hardware-aware execution across memory, scheduling, & kernels.
Hardware-aware execution across memory, scheduling, & kernels
Granular access control.
Granular access control
Choose which developers can access models.
Choose which developers can access models
Mirror your existing pricing.
Mirror your existing pricing
Tokens, licenses, revshare.
Tokens, licenses, revshare
Built natively for iOS and macOS
Mirai is the fastest on-device inference engine built from scratch
The fastest on-device inference engine built from scratch
Outpeforming
Apple MLX
llama.cpp
Metric
16 Pro Max (A18 Pro)
M1 Ultra
M2
M4 Max
Metric
16 Pro Max (A18 Pro)
M1 Ultra
M2
M4 Max
Time to first token, s
0.303
0.066
0.188
0.041
Time to first token, s
0.303
0.066
0.188
0.041
Tokens per sec, t/s
20.598
197.093
35.572
172.276
Tokens per sec, t/s
20.598
197.093
35.572
172.276
* Llama-3.2-1B-Instruct, float16 precision, 37 input tokens
16 Pro Max (A18 Pro)
0.303
Time to first token, s
20.598
Tokens per sec, t/s
M1 Ultra
0.066
Time to first token, s
197.0
Tokens per sec, t/s
M2
0.188
Time to first token, s
35.572
Tokens per sec, t/s
M4 Max
0.041
Time to first token, s
172.276
Tokens per sec, t/s
* Llama-3.2-1B-Instruct, float16 precison, 37 input tokens
Built for developers
Easily integrate modern AI pipelines into your app
Free 10K Devices
Try Mirai SDK for free
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.
All major SOTA models supported
Gemma
Polaris
HuggingFace
DeepSeek
Llama
Qwen
Build real-time AI experiences with on-device inference
Users don’t care where your model runs. They care how it feels.
Fast responses for text and audio.
Offline continuity. No network, no break.
Consistent latency. Even under load.
Run models on-device or in the cloud. Using the same API
Run models on-device or in the cloud. Using the same API
We’ve partnered with Baseten to give you full control over where inference runs. Without changing your code
Free your cloud.
Run your models locally
Deploy and run models of any architecture directly on user devices
