On-device AI that scales.
Run AI models on-device. Scale to cloud when you need to.
Trusted by teams building on-device AI
BUILD ONCE, SHIP ANYWHERE
One SDK. Every platform.
Write your AI pipeline once and deploy it natively across mobile, desktop, and game engines — with hardware acceleration on every target.
Flutter 
React Native 
iOS 
macOS 
Android 
Web 
Unity 
Godot 
Unreal Easy Integration
Integrate in Seconds
Run a single model or orchestrate full AI agents — in just a few lines of code.
model: llama-3-8b
task: generate
max_tokens: 512final response = await Xybrid.generate(
'Explain quantum computing',
model: 'llama-3-8b',
);Simple by design
How it works
From prototype to production in three steps.
Define your pipeline
Write a YAML config to chain models together — or call a single model directly with 3 lines of code.
Deploy to any platform
Ship to iOS, Android, macOS, or Unity. One SDK, native acceleration on every device.
Monitor & update OTA
Push new model versions without app store updates. Track performance across your entire fleet.
Built for production
From on-device inference to fleet-wide analytics — everything you need to ship AI at scale.
On-Device Inference
Run models directly on user devices. Zero network latency, full offline support, complete data privacy.
Pipeline Orchestration
Chain ASR, LLM, and TTS into intelligent agents with a simple YAML config.
OTA Model Updates
Push new model versions to devices without app store updates. Rollback instantly if needed.
Policy-Based Routing
Route inference to edge or cloud based on device capability, battery, connectivity, or custom rules.
Hardware Acceleration
CoreML, Metal, QNN — automatically use the fastest execution provider on every device.
Usage Analytics
Monitor inference latency, model usage, and device capabilities across your entire fleet.