Demos

See a different kind of AI at work.

The clearest proof of a new architecture is watching it run: capably, privately, on ordinary hardware with no GPU in sight. More on our YouTube channel.

Industrial

Industrial Automation from a Sentence

The Senua AI console's Automation editor on the left, a real OpenPLC runtime on the right. Plain-language actions are drafted into a visual control sequence and run against the controller over Modbus TCP; the plant lights up as every write is proven by the device's own readback. No language model, no cloud, no vendor SDK, the same engine that flies the drone. Read the full use case →

Contested RF

Nexus over RF

One Senua AI mind shared across two aircraft over a jammed, kilobit radio: a fact taught on one drone crosses to the other, compressed to a few hundred bytes, sealed with ChaCha20-Poly1305, and hopping clear of a live jammer, then recalled on the second. Two separate arm64 instances, measured live; no cloud, no central server. Read the full use case →

Vision

Real-Time Object Identification

Raw city footage on the left, the engine's live view on the right, the identifier stream beside them: named, tracked objects with confidence, learned from the stream itself during a live training cycle on a laptop CPU. No pretrained model, no GPU. Read the full use case →

Autonomy

Autonomous Flight on Pure Senua AI

The operator types the mission in plain English; Senua AI drafts the flight plan and flies it, commanding a real autopilot on an arm64 CPU, no model on board, no GPU, no cloud. An independent ground station watches the same wire. Commanded mission execution in simulation. Read the full use case →

On the edge

Air-Gapped Drone Mission on a Raspberry Pi

The same plain-language mission, now on a real Raspberry Pi Zero 2 W on the desk. The console, the language step, and the flight commands all run on the board itself: no GPU, no cloud, no model. An independent QGroundControl tracks the same MAVLink wire, and ArduPilot SITL stands in for the autopilot. One prompt, one tiny board, a full drafted-and-commanded mission. Read the full use case →

Anomaly

UAV Telemetry Anomaly Detection

The flight that tells you it is failing. Senua AI learns normal flight from the aircraft's own telemetry stream, then flags the failure the moment it departs the learned states, with the state, the channels, and the confidence. Real recorded flights, replayed live. Read the full use case →

Assistant

Multiplayer Coding Lesson 1

Two people, one shared conversation, live. Alice teaches Bob his first program while Senua AI generates the examples on request, and stays silent when the humans are talking to each other. An AI that decides when it is being spoken to. Read the full use case →

Learning

Real-Time Learning 1

Drop a company memo into Senua AI, ask a booking question, then drop in a contradictory amendment, and the answer flips in seconds, grounded in the exact line it read. Real learning, not retrieval; no retraining, no cloud. Read the full use case →

First look

Start with the basics

Product

Introduction to the Web UI

A first look at Senua AI in the browser: it recalls grounded answers, writes working code it actually ran to verify, and, when it has not learned something, says so instead of guessing. No GPU, no outside model.

Product

Introduction to the Console

The operator's view: the Senua AI Console. See the whole system on one screen: your nodes, the people and their roles, and the knowledge it has learned. One mind across many nodes, all on hardware you own.

Live session

Live session recording 1

We have all had a brain-snap: blurting a word out wrong (expresso, nucular, libary), even when we know full well how it is meant to sound. The knowledge is right there; the wetware just crosses a wire for a second. Senua AI does not do that. It answers from what it has genuinely learned, on hardware you own, and when it has not learned something, it tells you. The right answer, never a confident guess. It does not hallucinate. A full-length, unedited session.

What to look for

Three things you won't see anywhere else

No accelerator

Watch a capable assistant run on a plain machine. No GPU, no cloud call. The workload the whole industry says needs a data centre, on hardware you already own.

Offline

Pull the network and it keeps thinking. Real intelligence that doesn't depend on connectivity or a vendor's uptime.

Learning & sync

See it pick something up on one device and carry it to another: one mind across bodies, not disconnected copies.

Want a live walkthrough?

Adopters get hands-on access to the cloud-hosted demo and a guided session.

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