Edge AI · B2B

AI that runs where your users are — on the edge.

Dumplings AI is the engine that runs large language models on your users’ own devices. Private. Offline-capable. GPU-accelerated. No cloud token bill — ever.

on-device·0 cloud calls
What is Dumplings AI?

The cloud is far away. The edge is right here.

Dumplings AI is an on-device inference engine for B2B products. We embed real LLMs straight into your app, so the model runs on the phone, laptop or desktop in your user’s hand — not in someone else’s data center.

🔒

Private by default

Inference runs on the user's own device. Prompts, documents and data never leave it — nothing to leak, nothing to subpoena.

Instant, local latency

No network round-trip. Tokens stream the moment a user hits send, even on a flaky connection or a packed conference Wi-Fi.

✈️

Works fully offline

Planes, subways, rural coverage, air-gapped enterprise. The model is on the device, so the feature just works.

💸

No per-token cloud bill

Compute is the device you already shipped to. Usage scales with your users for free — not with an API meter.

One engine · every platform

Write the feature once. Ship it everywhere your users are.

Dumplings AI runs natively across mobile and desktop and picks the fastest GPU backend on each device automatically — falling back gracefully when hardware is tight.

  • iOS
    Metal
  • Android
    Vulkan / OpenCL
  • macOS
    Metal
  • Windows
    CUDA / Vulkan
  • Linux
    CUDA / Vulkan
  • + open models, quantized & tuned per device
Live in production

Already shipping inside Bitcoin News: Markets & AI

The app’s AI assistant — chat, news summarization and market Q&A — runs entirely on Dumplings AI. The model lives on the device, so answers are instant, work offline, and not a single prompt touches a server.

9:41✈️ on-device
🥟
Markets AI
● running locally

Summarize today's Bitcoin headlines.

BTC is holding above support after ETF inflows ticked up. Two macro prints land this week — watch for volatility around them. 📈

Is this running on the server?

Nope — I'm running fully on your device. ✈️ Even in airplane mode.

Ask anything…
0 cloud calls
How it works for clients

From “we want AI” to shipped — in three steps.

01

Tell us your use case

Chat assistant, summarization, search, classification, agents — whatever your product needs an LLM to do on-device.

02

We embed the engine

Dumplings AI drops into your app as a native module. We tune the model, quantization and GPU backend per platform.

03

Ship private AI

Your users get fast, offline, private AI. You get zero inference bills and nothing sensitive on a server.

Let’s bring edge AI to your product.

Tell us what you’re building. We’ll figure out how to run it privately, on-device, across every platform you ship to.