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In development — tested offline on WindowsPrivate desktop AI assistant

Wynner AI

A private AI assistant that stays on your computer.

Wynner AI is a desktop assistant that runs the Gemma 3 12B language model locally. Chat works without an internet connection, and no conversation is sent to a server.

Overview

The problem

Most AI assistants send every conversation to a cloud server. For personal questions, that is not always what people want.

The solution we are building

A desktop assistant that is private by design: the language model runs on your own machine, so conversations stay there.

Who it’s for

People who want a personal AI assistant for everyday questions and prefer their conversations to stay on their own computer.

How it works

Using Wynner AI, step by step.

  1. Step 1: Open Wynner

    The app starts its local engine, which loads the language model into memory.

  2. Step 2: Ask a question

    Type a message or pick a suggestion card. A “Wynner is thinking…” indicator shows while the model works.

  3. Step 3: Get an answer offline

    The answer is generated on your PC. In testing, the first reply after launch took 75–135 seconds while the model loaded.

  4. Step 4: Start fresh

    New Chat clears the conversation.

Product showcase

See the current build.

Genuine screenshots only. No mock-ups and no staged features.
Home screen
  • Home screen

  • A real question, while the local model works

  • The model’s answer, generated offline

Key features

What it does today.

  • 01

    Local model

    A C++ engine built on llama.cpp loads Gemma 3 12B Instruct (Q4_K_M, 7.3 GB) with a 4,096-token context and 22 layers offloaded to the GPU.

  • 02

    Desktop interface

    A Qt Quick (QML) interface with a chat view, a “Wynner is thinking…” indicator, suggestion cards and New Chat, in a frameless navy-and-gold window.

  • 03

    Clean replies

    A C++ bridge starts the engine, sends each message and reads the answer, removing the engine’s placeholder text so only the final reply appears.

Development progress

What works today, and what doesn’t yet.

Kept deliberately strict: only what has been checked is listed as working.

Implemented3

Built and visible in the current build

  • Local chat with Gemma 3 12B through llama.cpp
  • Chat view, thinking indicator, suggestion cards and New Chat
  • Frameless navy-and-gold window with custom window controls

Offline-tested2

Checked by automated or recorded tests, without live services

  • Real conversations tested offline on Windows on 8 November 2026
  • The first reply after launch took 75–135 seconds while the model loaded

Planned3

Not built yet

  • Sidebar pages: AI Assistant, AI Models, Documents, Data Insights, Tools and Settings
  • Attachments and code tools in the chat box
  • A packaged installer

Get updates

Follow Wynner AI as it develops.

Early access registration is coming soon. Until then, progress is posted on the Updates page, and you can message Wynn Orbit directly about Wynner AI.

Latest Wynner AI updates

  1. Wynner AITested offline

    Wynner AI: new design and offline conversation test

    Wynner moved to a navy-and-gold design, and replies now show only the model’s final answer. Real conversations were tested offline on Windows; the first reply after launch took 75–135 seconds while the model loaded.