Use Llamatik as a local AI app today — or build your own AI tools with the platform behind it.
No accounts. No tracking. No unnecessary cloud dependency.
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, Llamatik gives you more control over your data, faster interactions, and a more sustainable way to use AI — without constant reliance on the cloud.
Run AI conversations without sending data to external servers.
Write, summarize, generate images, and explore ideas with full control.
Use AI directly on your device across platforms.
No installation required — start in seconds.
Use the same platform powering the app.
Run models on-device by default or use Llamatik Server when you need more power.
Private AI, ready to use
Run AI directly on your device with no setup complexity.

The platform behind the app
Build local-first AI into your own applications.

Your data stays on your device. No hidden tracking or external processing.
Run AI on-device when possible, and use remote execution only when needed.
Reduce latency, infrastructure costs, and complexity.
Cloud-based AI is powerful — but it comes with trade-offs: latency, recurring costs, privacy concerns, and vendor lock-in.
Llamatik runs models directly on user devices using native inference powered by llama.cpp, keeping sensitive data local and reducing infrastructure overhead.
When you need scale or centralized execution, you can use Llamatik Server — with the same API and architecture.

Llamatik removes the complexity of integrating AI across platforms.
Instead of stitching together native bindings and platform-specific logic, you get a unified Kotlin-first abstraction that works across mobile, desktop, and backend environments.
Run LLMs fully offline using native llama.cpp bindings compiled for each platform. No network required, no data leakage.
A single, shared Kotlin API for Android, iOS, desktop, and server — with expect/actual handled for you.
Use HTTP-based inference when models are too large or when centralized execution is required — without changing your app logic.
Built-in support for common LLM use cases like text generation, chat-style prompts, and vector embeddings.
Works with modern GGUF-based models such as LLaMA, Mistral, and Phi.
No heavy frameworks, no cloud SDKs. Just Kotlin, native binaries, and full control over your stack.
implementation("com.llamatik:library")
Powered by battle-tested tools used in production apps.
Compose Multiplatform
Material Design 3
Llamatik is evolving into a broader platform for building and using AI — all designed around privacy and local-first execution.
New integrations and tools will expand how you build and use local AI.
Llamatik is open source and actively used by developers building local-first AI applications across mobile and desktop.
You can inspect the code, understand how it works, and use it in your own projects.
Download the app or try Llamatik instantly in your browser.