The Sign Language Brain
for Embodied AI
One cortex. Many bodies. Many sign languages.
Why now.
The robotic era is arriving before the sign-language standard is set. The risk is not that robots will sign poorly. The risk is that a non-native signing model becomes the default first. Once embedded across platforms, that becomes technical debt: expensive to replace, culturally hard to unwind, architecturally baked into the machines.
SignaVision exists to put Deaf-centred, sign-native cognition into embodied AI from day one — before the standard hardens.
Not a translator. A cortex.
Wrong centre
- Sign
- English
- AI
- English
- Sign
This turns sign language into a translation output.
SignaVision centre
- Sign
- SignaVision IR
- Reasoning + spatial and discourse state
- Sign
Spoken languages become optional interfaces — not the cognition loop.
The design rule
Would two native Deaf signers
communicate this way?
Every architecture decision answers that question. The brain must preserve what fluent signers carry across turns: spatial loci, discourse memory, referents, role shift, repair — and the regional, rural and community variation that is part of the language itself.
Continue
Next: one brain, whatever body you bring.