Private AI tools that run closer to you.

Llamatik is a growing collection of local-first AI products designed for privacy, control, and real-world usefulness.

Chat with AI, generate content, and run models locally — all on your device.

Use the Llamatik App for private, on-device AI, or explore the platform behind it with the Llamatik Library.

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Local-first · Privacy-focused · Open source
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One idea: AI should work for you, not the cloud.

Most AI today depends entirely on remote servers. That means your data leaves your device, latency increases, and costs scale with usage.

Llamatik takes a different approach.

By running AI locally when possible, Llamatik gives you more control over your data, faster interactions, and a more sustainable way to use AI — without constant reliance on the cloud.

Two ways to use Llamatik

Llamatik App

Private AI, on your device

A simple, powerful AI assistant that runs locally.

No accounts, no tracking, and no unnecessary cloud dependency.

  • Chat with AI privately
  • Generate content and ideas
  • Run models directly on your device

Download the App

Llamatik Library

The platform behind the app

A Kotlin Multiplatform library for integrating AI across Android, iOS, desktop, and server.

  • On-device and remote inference
  • Unified API across platforms
  • Built on proven technologies

Explore GitHub

Llamatik Screenshot 1    Llamatik Screenshot 2    Llamatik Screenshot 3

Privacy and control, by design

Private by default

Your data stays on your device. No hidden tracking, and no external processing unless you choose it.

Local-first

Run AI where it makes sense — on-device when possible, remote when needed.

More sustainable

Reducing unnecessary cloud usage means less energy consumption and a more efficient AI stack.

For builders, the platform behind the app

Llamatik Library focuses on the hard parts of integrating AI — so you can focus on building great products.

Instead of stitching together native code, bindings, and platform-specific logic, Llamatik provides a unified Kotlin-first abstraction that works across platforms and environments.

On-device inference

Run LLMs fully offline using native llama.cpp bindings compiled for each platform. No network required, no data leakage.

Kotlin Multiplatform API

A single, shared Kotlin API for Android, iOS, desktop, and server — with expect/actual handled for you.

Remote inference

Use HTTP-based inference when models are too large or when centralized execution is required — without changing your app logic.

Text generation & embeddings

Built-in support for common LLM use cases like text generation, chat-style prompts, and vector embeddings.

GGUF model support

Works with modern GGUF-based models such as LLaMA, Mistral, and Phi.

Lightweight runtime

No heavy frameworks, no cloud SDKs. Just Kotlin, native binaries, and full control over your stack.

implementation("com.llamatik:library")

Why local-first AI matters

Cloud-based AI is powerful — but it comes with trade-offs: latency, recurring costs, privacy concerns, and vendor lock-in.

Llamatik lets you run models directly on user devices using native inference powered by llama.cpp, reducing infrastructure costs while keeping sensitive data local.

When you need scale or centralized execution, you can switch to remote inference using the same core platform.

Local-first by default. Remote when needed.

Why local-first AI matters

  • Lower infrastructure costs
  • Privacy by default
  • Simpler architecture

Open source and transparent

Llamatik is open source and built in the open.

You can inspect the code, understand how it works, and use it in your own projects.

Whether you use the app or build with the library, everything is designed with transparency and long-term trust in mind.

View on GitHub

Built with trusted technology


Powered by battle-tested tools used in production apps.



Kotlin Language Logo      Ktor Server Logo      Llama.cpp Logo      Compose Multiplatform Logo Compose Multiplatform      Material Design 3 Logo Material Design 3

Start using private AI today

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