Meet NimbleEdge AI: The First Truly Private, On-Device Assistant

We’re thrilled to introduce NimbleEdge AI, the industry’s first fully on-device conversational assistant powered by the NimbleEdge platform. With no internet dependency, no cloud processing, and no data leaving your device, this is the future of AI: private, secure, and always accessible—even offline.

• Expressive Voice + Text interface
• No data sent to any LLM providers
• Your data, your control, no compromises

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Sign up for early access here (Currently - only available on Android)

A Shift in How We Interact with Technology

AI is fast becoming the new user interface—a natural layer that understands user intent and helps you act on it across multiple apps and contexts. But here’s the problem: today’s AI assistants are centralized, data-hungry, and cloud-dependent.

Every time you speak to a typical assistant, whether it's Siri, Google Assistant, or even newer apps like Perplexity and ChatGPT, your queries are shipped off to remote servers, processed by third-party LLMs, and often stored and analyzed for personalization, monetization, or worse.

We believe this model is fundamentally broken.

If AI is the new interface, it must be private, personal, and local. It cannot rely on internet connectivity to work. It cannot compromise your privacy for performance. And it cannot be controlled by a handful of corporations.

Learning from the Past: Ads, Algorithms, and Attention Harvesting

The early web gave us search engines. Then came social media. And both made the same trade-off: your data in exchange for free services. That trade-off is now widely understood to be toxic leading to surveillance capitalism, data leaks, manipulative algorithms, and platforms optimized for profit over people.

With generative AI, the stakes are even higher. As AI becomes more capable, more personalized, and more integrated into our lives, we risk handing over even deeper context—conversations, preferences, intentions—to systems we don’t control.

Here’s a Reddit post highlighting recent changes made in OpenAI’s ChatGPT, sounds scary doesn’t it?

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And that’s why NimbleEdge AI is different.

Built from the Ground Up for Privacy, Performance & Portability

NimbleEdge AI is powered by the NimbleEdge on-device platform, a runtime and SDK purpose-built for deploying GenAI workloads directly on mobile devices.

Here’s what’s under the hood:

• Speech to Text: On-device voice input via Google ASR or fallback to Whisper Tiny (int-8 quantized).
  
• Text Understanding & Response: Processed by a quantized Llama 3.2 1B Instruct model running locally via ONNX GenAI runtime.
  
• Voice Output: Responses are synthesized with a custom Kokoro TTS model optimized for real-time, human-like speech—also running on-device.
  
• Developer-Friendly SDK: All of this is orchestrated by the NimbleEdge on-device AI platform. AI/ML Developers write regular Python scripts, which are converted to AST and run on-device through a custom C++ engine triggered by the app’s Kotlin/Swift layer, enabling seamless AI workflow updates without needing to redeploy the entire app.

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Your first-time setup will download the required models once. After that, everything runs locally. No conversations are sent to any server. No history is kept in the cloud. Clear your cache, and it’s like you never used it.

This Is Just the Beginning

NimbleEdge AI is more than an assistant. It’s a proof point for what’s possible when privacy, on-device computing, and GenAI come together.

Imagine having:

• AI help while flying without internet
• Knowledge and assistance while hiking off-grid
• Having fun with your kids interacting with AI without surveillance or Ads
• A truly personal assistant that’s always yours, not a proxy for someone else’s business model
  
  

This is what we mean by scaling AI to billions without compromising trust or ownership.

We’re proud to be part of a growing movement of builders who believe AI doesn’t have to come at the cost of privacy. Yes, we admire what Perplexity and Meta AI are pushing toward. But we believe on-device is the only sustainable path forward.

What’s Next for NimbleEdge AI?

We’re just getting started. Here's what's coming next besides the iOS app launch:

• Tool Calling via MCP: Seamless integration with device and consumer apps so you can take actions via voice, from setting alarms to buying groceries
• Hardware Acceleration: Auto-optimized runtime support for the best latency and power efficiency based on your device’s hardware
• Model Flexibility: Use your preferred on-device LLM—Gemini Nano, Qwen, Llama, or your own fine-tuned model—all running on-device
  
  

We’re also deeply grateful to the open source communities that made this possible:

• Microsoft’s ONNX and ONNX GenAI community
• Meta AI’s Llama and ExecuTorch team
• hexgrad for the fantastic Kokoro TTS model
  
  

We're giving back by open-sourcing:

• Our on-device Kokoro TTS model customizations including batching support
• The Python workflow scripts behind NimbleEdge AI
• And soon, the full AI assistant code and NimbleEdge SDK so developers everywhere can integrate private, on-device AI into their own apps
  
  

Stay tuned for more exciting updates!

Try It Today

So what are you waiting for? Try NimbleEdge AI and experience the world’s first private, fully on-device AI assistant.

No servers. No tracking. Just a powerful AI that lives in your pocket and works for you, and only you.

Sign up for early access here
Watch the demo
Email us your thoughts - team-ai@nimbleedgehq.ai. 

Let’s build the AI future—without compromises.