Private AI for Windows

Private AI, running on your Windows PC.

Choose models that fit your Windows PC. Run them locally, then put them to work through chat and a local API.

For Windows 10 & 11. Choose a model suited to your hardware.

Emerald lizard above a glass lens with probability curves, a conceptual illustration of inference.
Lizard · Intelligence on your terms.
Windows 10 & 11Two native enginesLocal inference after setupGGUF models

A practical route to local AI

A model plan that starts with your hardware.

  1. 1

    Inspect your hardware

    Start with your CPU, memory, and graphics hardware.

  2. 2

    Choose a fitting model

    Find a model and quantization suited to your machine.

  3. 3

    Run it locally

    Use the active model in chat or through a local API.

Conceptual local compute assembly showing multiple hardware modules within one device

Built for useful local work.

From choosing a model to using its output, the operating steps stay visible.

Start with your machine

Lizard considers your CPU, RAM, GPU, and available graphics memory when planning a model.

Find a model that fits

Choose compatible GGUF models and quantizations, then verify the selected download.

Work in local chat

Keep conversations and use available document and chart capabilities in the local workspace.

Connect your applications

Use the local OpenAI-compatible endpoint with applications that support a configurable provider.

Keep inference local

After activation and setup, run installed models on the Windows PC.

Inspect the evidence

Keep provider lanes and workload conditions visible when comparing performance.

A workspace on your machine.

Local chat, with useful visual output.

Supplied product preview. Interface and available features may vary by version.

Inside Lizard

Answers you can work with. Evidence you can inspect.

Lizard’s local chat can turn a conversation into visual output. Benchmark results belong to the machine, model, and workload used to produce them. Keep those conditions attached to every comparison.

Read the benchmark methodology

Two paths.
One hardware-aware decision.

The execution engines remain distinct in the architecture and in the benchmark evidence.

Lizard Native

A resident-GPU execution path using Direct3D 12 on supported Windows hardware. Model lifecycle and warmed shader caching stay part of the runtime.

Caterpillar

A separate execution engine using a typed graph, a reusable activation arena, and a pre-compiled compute plan.

Read the architecture

Explore at your pace

Meet the ideas behind Lizard.

Interactive studies, product previews, and short explanations.

Open demo library

Good questions

A little more clarity.

Need something more specific?
Talk to Qendryx

Which computers can run Lizard?

Lizard is designed for 64-bit Windows 10 and Windows 11. Model suitability and performance depend on your hardware, available memory, model, and drivers. Review the download requirements before installing.

Does it work without an internet connection?

Installed models can perform local inference after account activation and model setup. Downloads, activation, and optional connected features may require the internet.

Do the two engines run at the same time?

Lizard Native and Caterpillar are separate execution paths. Routing depends on the model and hardware. The illustration shows the decision process, not a guarantee of simultaneous execution.

Is a model included in the purchase?

Model onboarding is a separate setup step. Review the selected model’s license and requirements. The official download page explains current activation terms and optional capabilities.

A closer look.

Short films and original product interfaces. Explore at your own pace.

Inside Lizard

A silent conceptual product film from the Lizard collection.

Work with your local AI

Original product preview. Select the image to explore the details.