The Sign Language Brain
for Embodied AI
One cortex. Many bodies. Many sign languages.
Robot companies build the body.
SignaVision gives every body a native sign-language brain — designed
around one question: would two native Deaf
signers communicate this way?
The Cortex
Not a translator.
A sign-language cortex.
The durable layer sits above the body and below the application: perception, sign-native state, reasoning, and expression. Spoken languages — English, Mandarin, any other — are optional interfaces, not the centre of the cognition loop.
One brain. Whatever body you bring.
- Perception
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- hands
- face
- body
- gaze
- spatial scene
- Cognitive state
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- intent
- discourse memory
- referents
- pragmatics
- Expression
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- grammar
- facial grammar
- timing
- coarticulation
- Embodiment adapter
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- humanoid robot
- digital human
- avatar
- AR
Same cortex. Different body.
Regional, rural and community variation belongs in the language model — as language, not as noise to be erased.
Explore the CortexThe Problem
Communication should not
depend on whether a person can hear.
Most accessibility tools adapt existing systems for sign language users. SignaVision builds systems where accessibility is the starting point.
Millions of people rely on sign language as their primary form of communication.
Modern digital platforms were built without them in mind — then patched to accommodate them.
We don't patch. We build from the foundation.
We don't remove barriers after the fact. We build without them.
Robot-grade signing
The harder problem,
on purpose.
Most competitors stop at avatars or video output. SignaVision targets robot-grade sign-language motion — the stricter physical embodiment standard. Robot execution forces depth, orientation, spatial loci and timing to become explicit.
Once that canonical motion representation exists, avatars, digital humans and video are downstream embodiments, not the destination.
Embodiment- Humanoid robot
- Digital human
- Avatar
- Video and AR
Platform
You build the robot.
We license the brain.
OEMs compete on hardware. SignaVision scales through the common language layer — vendor-agnostic by design, not tied to any single robot platform.
- OEM platform licensing
- Per-device runtime
- Language packs
- Embodiment adapters
- Enterprise and barrier-free public-service deployment
- Certification
- Support and upgrades
Execution evidence
See it working.
Not just described.
The cortex is built by a company that already runs real systems. They are not separate definitions of SignaVision — they are proof that it builds, deploys and operates working technology.
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Sign language recognition
Recognition for a language that exists in space — movement, orientation and timing — delivered into learning platforms via LTI 1.3.
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SignReach
Booking platform for sign language interpreting, CART live captioning and English-to-ASL translation — requested, scheduled, priced and invoiced in one workflow.
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Education technology
LTI-integrated learning systems for Deaf education and workforce training programs.
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Captioning and forums
CaptionOnFly real-time captioning, and discussion platforms where sign language video is first-class content.
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Infrastructure
Self-hosted, sovereign GPU infrastructure — purpose-built, not a rented cloud instance.
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Runtime and accelerators
Systems and runtime research, completed and in production — validated across heterogeneous accelerator classes.
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Governed AI
Systems that are structured, observable and policy-governed by construction.
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Research
Active research directions that feed live systems, with an independent academic validation layer.
Partnership
Who the cortex is built for.
- Robot manufacturers
- Embodied-AI companies
- OEMs and integrators
- Researchers
- Institutions
- Public-sector deployment partners
Bring the body.
We'll bring the cortex.
We work with robot manufacturers, embodied-AI teams, researchers, institutions and accessibility leaders to bring native sign-language cognition into real systems.
Which robot model?