A new architecture for artificial intelligence

A mind,
not a model.

Senua AI is not a wrapper — there is no Claude, ChatGPT or Gemini underneath, and no open-source model running locally either. No LLMs, no SLMs, no neural networks — not even linear algebra. It's a fundamentally different architecture: continuously-learning intelligence, compiled to native machine code, running on hardware you already own — from servers to drones. No GPUs. No per-token bills. Private by design.

  • Native machine code
  • Linux · macOS · arm64
  • No GPU required
  • Learns continuously
  • Private & offline
0LLMs or SLMs — of any kind
0GPUs required
100%runs on-device
$0per-token cost

The industry took a wrong turn

The whole field is betting on one idea: make it bigger.

More parameters, more GPUs, more data centres — every question routed to someone else's cloud, billed by the token, with your data along for the ride. We think that's a dead end. A fundamentally different architecture proves it.

The Senua AI difference

Intelligence that learns — engineered to run everywhere.

Senua AI isn't a shrunk-down large language model, and it isn't a set of open-source small models stitched together behind a local interface. It's a new kind of AI, built from first principles to be small, efficient, and self-contained — the same intelligence on a server, a laptop, a phone, or an embedded device, and it gets smarter the more you use it.

Explore the architecture →

  • Compiled, not interpreted — native machine code on ordinary CPUs; no GPU, no runtime stack.
  • Linux, macOS & arm64 — one platform across operating systems and architectures.
  • Bare metal via SenuaOS — deployable to drones, cars, sensors, and smart devices.
  • One mind, many nodes — the Nexus protocol syncs what it learns across every device.
  • Private & local — the whole mind runs on your hardware; data stays put.
  • CLI, API & web — use it from a terminal, your own software, or the browser.

See it running

Capable AI, running locally — no GPU in sight.

The clearest way to understand a new architecture is to watch it work on ordinary hardware.

Watch the demos →

Be an early pilot partner.

We're onboarding a limited group to the cloud-hosted demo. If you can't send your data away — or you're tired of paying per token — let's talk.