RunAnywhere SDK tackles the complexity of deploying AI models across heterogeneous mobile and edge devices. Rather than maintaining separate inference stacks for each platform, it provides a shared C++ core with native bindings for iOS, macOS, Android, WebAssembly, React Native, and Flutter. This architecture means a single model integration works consistently whether the app runs on an iPhone, an Android tablet, or a browser, without any cloud round-trips.
The SDK covers the full spectrum of on-device AI capabilities: LLM text generation powered by llama.cpp with streaming support, vision-language model inference for image understanding, Whisper-based speech-to-text, Piper text-to-speech, on-device image generation, and structured tool calling. A complete voice pipeline chains these components together for conversational AI experiences that run entirely locally. All data stays on the device, making it suitable for privacy-sensitive applications in healthcare, finance, and enterprise contexts.
Backed by Y Combinator, RunAnywhere also offers a cloud control plane for managing model deployments, enforcing policies, and measuring performance metrics across thousands of devices at scale. Starter templates and demo apps are provided for Swift, React Native with Expo, and Flutter, making it straightforward to prototype and ship on-device AI features. For developers building the next generation of offline-capable AI applications, RunAnywhere removes the infrastructure friction of cross-platform model deployment.
