Intelligence that runs where the cloud cannot go.
Senua AI learns the causal structure of a data stream on the device. No GPU, no cloud, no LLM, no linear algebra, no foreign frameworks. It runs air-gapped as a compact native binary on hardware that costs the price of lunch.
A different paradigm
It reconstructs cause and effect. It does not fit billions of weights.
Senua learns the causal states of a process directly from its stream, computational mechanics, not transformers. That is what lets it run on the device with no GPU and no training corpus.
The mainstream stack
- Fits billions of weights to predict the next token
- Dense matrix multiply, floating point
- Needs GPU farms and the cloud
- Retrain to adapt, never learns in the field
Senua AI
- Reconstructs the causal states of a process
- Integer fixed point, no dense matmul
- Runs on commodity CPUs and NPUs
- Stateful and streaming, learns on the device
See it work
One engine, many sensors, already running.
The same engine, unchanged, across radio, video, and industrial control, on real hardware.
Under the hood
One machine, two directions.
A single engine reconstructs causal states from a stream (induction) and expands them back into a sequence (generation). Every capability routes through the one gate.
Grounded in computational mechanics (epsilon-machine reconstruction). One shared core, no per-domain merges, no separate reconstruct path.
One mind, many bodies
A single mind, worn by a fleet.
Every body runs the whole engine and shares one evolving state over radio. Deny the link and each body keeps thinking; restore it and the fleet reconciles itself.
Sovereign by construction
Language, compiler, operating layer, and engine, all built in-house. No foreign frameworks, auditable end to end.
Jam-tolerant fleet sync
Frequency hopping, diversity, and authenticated encryption keep the mesh connected under interference.
Runs on the metal
A compact native engine, x86 and arm, air-gapped on a Raspberry Pi. No cloud round-trip, ever.
Bring the intelligence to the edge.
For adopters, partnerships, and evaluations. Tell us the stream you need to understand, and we will show it running on the device.