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RunAnywhere

Local Inference

On-device AI platform for deploying fast, private AI models across iOS, Android, and edge devices with minimal code integration.

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At a Glance

Pricing

Open Source

Free open-source SDK for on-device AI deployment

Engagement

Available On

macOS
Android
iOS
Web
API

Resources

WebsiteDocsGitHubllms.txt

Topics

Local InferenceMobile App DevelopmentAI Development Libraries

About RunAnywhere

RunAnywhere is a production-grade, on-device AI platform that enables developers to run AI models directly on mobile and edge devices. The platform provides unified SDKs for iOS, Android, React Native, and Flutter, allowing developers to deploy AI inference locally with minimal latency, maximum privacy, and full offline capability. Backed by Y Combinator, RunAnywhere eliminates the need for cloud API calls by running all AI inference 100% on-device.

  • LLM (Large Language Model) provides on-device text generation with streaming support, structured outputs, and system prompts for conversational AI applications
  • STT (Speech-to-Text) delivers real-time audio transcription with multiple backends and multi-language support for voice-enabled features
  • TTS (Text-to-Speech) offers neural and system voice synthesis with customizable voice, pitch, rate, and volume settings
  • VAD (Voice Activity Detection) enables real-time speech detection for hands-free interactions and voice-triggered experiences
  • Voice Agent Pipeline orchestrates complete voice conversation flows by integrating VAD, STT, LLM, and TTS in streaming and batch processing modes
  • Privacy by Design ensures audio and text data never leaves the device unless explicitly configured, with only anonymous analytics collected by default
  • Cross-Platform SDKs support Swift (iOS, macOS, tvOS, watchOS), Kotlin (Android), React Native, and Flutter with native performance and GPU acceleration
  • Plugin Architecture allows developers to include only the AI capabilities they need, keeping app binary sizes minimal
  • Offline Capability means once models are downloaded, apps work completely without internet connection
  • Fleet Management Dashboard (coming soon) will enable monitoring of on-device AI deployments in real-time with OTA model updates and policy-based routing

To get started, developers can integrate the RunAnywhere SDK in less than 5 lines of code, choose their preferred platform SDK, and begin building AI-powered features with the comprehensive documentation and open-source SDK available on GitHub.

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Pricing

OPEN SOURCE

Open Source

Free open-source SDK for on-device AI deployment

  • LLM text generation
  • Speech-to-Text
  • Text-to-Speech
  • Voice Activity Detection
  • Voice Agent Pipeline
View official pricing

Capabilities

Key Features

  • On-device LLM text generation
  • Speech-to-Text transcription
  • Text-to-Speech synthesis
  • Voice Activity Detection
  • Voice Agent Pipeline
  • Cross-platform SDKs (Swift, Kotlin, React Native, Flutter)
  • 100% offline inference capability
  • Metal acceleration for Apple Silicon
  • GPU acceleration for Android
  • Plugin architecture for minimal binary size
  • Fleet management dashboard
  • OTA model updates
  • Policy-based routing
  • Usage analytics
  • Streaming and batch processing modes

Integrations

iOS
macOS
tvOS
watchOS
Android
React Native
Flutter
API Available
View Docs

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Developer

RunAnywhere, Inc.

RunAnywhere builds a production-grade on-device AI platform that enables developers to deploy AI models directly on mobile and edge devices. Backed by Y Combinator, the company provides unified SDKs for iOS, Android, React Native, and Flutter with support for LLM, speech-to-text, text-to-speech, and voice activity detection. The team consists of engineers who have scaled products for millions of users.

Read more about RunAnywhere, Inc.
WebsiteGitHub
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