Y CombinatorRunAnywhere: On-Device AI for Mobile & Edge
Deploy fast, private AI models across iOS, Android, and edge devices — with just a few lines of code.
Smartphone
One SDK. Infinite Inference.
Services
LLM
Language
STT
Speech
TTS
Voice
VLM
Vision
2 let response = try await RunAnywhere.chat("Explain quantum computing")
3 print(response)
4 // Streaming: RunAnywhere.generateStream(prompt)
Explain quantum computing in simple terms
LLM
Quantum computing uses quantum mechanics to process information in fundamentally different ways than classical computers, enabling exponentially faster calculations for specific problems.
Cost-effective AI
3-minute setup
Privacy-focused
MetalRT Benchmarks
The fastest inference engine for Apple Silicon. LLMs, Speech-to-Text, Text-to-Speech, and Vision — all on-device, all record-setting.
vs llama.cpp
1.67x faster
vs Apple MLX
1.19x faster
TTFT
6.6ms
Decode Speed (tok/s) — Qwen3-0.6B, 4-bit
Higher is better ↑
Qwen3-0.6B, 4-bit · Apple M4 Max
How it Works
Deploy AI models to any device with a single SDK. Manage your entire fleet from one dashboard with real-time analytics and OTA updates.
Integrate Our SDK
Push AI models directly to user devices. Our platform automatically optimizes.
SDK Integrated Successfully
Deploy Models On-Device
Add RunAnywhere SDK to your app in less than 5 lines of code.
Mobile
Web
Desktop
Edge
Watch
Glasses
Deployed successfully
Manage & Monitor
Control your entire AI fleet from a single dashboard. Real-time analytics.
Weekly Analytics
Live
Control Plane
Manage your on-device AI fleet at scale. Deploy models, monitor performance, and update policies — all from a single dashboard.
Fleet Management Dashboard
Monitor your on-device AI fleet in real-time. Track device status, model versions, and health metrics across all deployments.
OTA Model Updates
Update models without App Store releases. Push new model versions directly to devices with differential updates.
Policy-Based Routing
Route between on-device and cloud based on custom rules. Set fallback policies for low-memory or complex queries.
Usage Analytics
Track inference patterns, latency metrics, and model performance. Gain insights without compromising user privacy.
Frequently Asked Questions
Everything you need to know about deploying on-device AI with RunAnywhere. Can't find your answer? Reach out to our team.
What SDKs are available?
What AI models are supported?
What runtimes and formats are supported?
Does it work completely offline?
How does on-device inference compare to cloud APIs?
Is there a web console or dashboard?
How do I handle model updates?
Is my user data secure?
Is RunAnywhere free?
Can I use my own fine-tuned models?
Still have questions? Contact our team
Meet the Founders
From scaling products for millions at top tech companies to building the default infrastructure for on-device AI.
Sanchit Monga
Co-Founder & CEO
Previously built mobile products and SDKs used by millions at Intuit. Deep expertise in cross-platform mobile development and on-device AI deployment.
“Models are getting smaller and faster, but deployment is still broken. That's the layer we're focused on fixing.”
Built by engineers who've scaled products for millions at
RunAnywhere
Connect with developers, share ideas, get support, and stay updated on the latest features. Our Discord community is the heart of everything we build.
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