Ollama but for mobile, with a cloud fallback
The only on-device AI platform that intelligently routes LLM requests, tracks costs in real-time, provides near-instant latency, and maintains privacy.
RunAnywhere shifts inference to edge devices with $0 marginal cost per inference after initial deployment, versus $0.08-0.35 per minute for cloud voice inference. Developers ship once via app store or OTA updates, then serve unlimited users without scaling cloud infrastructure.
RunAnywhere SDKs provide cross-platform bindings (Swift, Kotlin, React Native, Flutter) with one API surface for LLM chat, speech-to-text, text-to-speech, vision-language models, and tool calling. Developers write once and deploy consistently across all platforms.
MetalRT custom GPU kernels deliver 668 tok/s LLM decode, 101ms speech-to-text for 70 seconds of audio, and 92ms vision processing on Apple Silicon. This eliminates 300-400ms cloud round-trip latency, enabling responsive voice agents and real-time accessibility tools entirely on-device.
RunAnywhere enables developers to deploy LLMs, speech-to-text, text-to-speech, and vision models directly on iOS and Android devices with zero data leaving the device. The SDK abstracts hardware complexity while maintaining full privacy—no internet required, no cloud dependencies, no data collection.
RunAnywhere Control Plane provides fleet dashboards, over-the-air model updates, policy-based routing, and inference analytics for edge and Android deployments. Teams can push new models and configurations to production devices without app store submission delays.