Deploy high-performance AI directly in your app.
For Free
From voice assistants to image recognition — all running on-device.
Summarize long text instantly
Process images with local models
Turn voice into actions or text
Sure! I will schedule a call with your colleague Max at 2PM tomorrow!
Build your own use case
Conversational AI, running on-device
Hi! I am great, and you? It seems you want to start a conversation. I'll...
Tag text by topic, intent, or sentiment
Topic: account management
Intent: cancellation request
Sentiment: angry
Summarize long text instantly
Process images with local models
Turn voice into actions or text
Sure! I will schedule a call with your colleague Max at 2PM tomorrow!
Build your own use case
Conversational AI, running on-device
Hi! I am great, and you? It seems you want to start a conversation. I'll...
Tag text by topic, intent, or sentiment
Topic: account management
Intent: cancellation request
Sentiment: angry
Build your own use case
Conversational AI, running on-device
Hi! I am great, and you? It seems you want to start a conversation. I'll...
Tag text by topic, intent, or sentiment
Topic: account management
Intent: cancellation request
Sentiment: angry
Summarize long text instantly
Process images with local models
Turn voice into actions or text
Sure! I will schedule a call with your colleague Max at 2PM tomorrow!
Build your own use case
Conversational AI, running on-device
Hi! I am great, and you? It seems you want to start a conversation. I'll...
Tag text by topic, intent, or sentiment
Topic: account management
Intent: cancellation request
Sentiment: angry
Summarize long text instantly
Process images with local models
Turn voice into actions or text
Sure! I will schedule a call with your colleague Max at 2PM tomorrow!
BUILD ONCE, SHIP ANYWHERE
Write your AI pipeline once and deploy it natively across mobile, desktop, and game engines — with hardware acceleration on every target.
macOS Easy Integration
Run a single model or orchestrate full AI agents — in just a few lines of code.
final model = await Xybrid.model(modelId: 'smollm2-360m').load();
final result = await model.run(
envelope: Envelope.text(text: 'Explain quantum computing'),
);
print(result.text);Get the best of both on-device and cloud.


BUILT FOR THE EDGE
Xybrid brings inference closer to the machine.
On-device inference for iOS and Android with hardware acceleration.
Native performance on macOS, Windows, and Linux workstations.
Always-on AI for smart glasses, watches, and AR devices.
On-board inference for autonomous robots and drones.