Live spatial reconstruction
Rebuilds the space as a 3D mesh while the user looks around, and streams a lightweight version back to the device.
Symbiotic Augmented Intelligence for Reality
SymbAIR understands the space around you in real time and turns a single sentence into an XR experience placed right in it.
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Symbiotic
In SymbAIR, people express intent, the device senses reality, and AI understands and plans over that space. The result comes back as an experience placed in the user's own surroundings. No part replaces another; each does what it does best, together.
People
express intent
Space
is sensed
AI
understands & plans
World
becomes experience
How it works
Sense
Camera, depth and pose streams from the headset capture the space the user is in, as it is.
Understand
The space is reconstructed in 3D, and its objects and their relations become a scene graph — like “keyboard on desk”.
Plan
An AI agent interprets voice or text commands and decides what to do, and where, grounded in the understood space.
Realize
The decision reaches the device, is rendered with physics, and appears in the user's real surroundings.
Capabilities
Rebuilds the space as a 3D mesh while the user looks around, and streams a lightweight version back to the device.
Recognises and names the objects in a space, and keeps the relations between them as structured knowledge.
Interact with your space through Korean and English voice or text. No menus to hunt through.
Turns phrases like “to the right of the keyboard” into exact positions, relative to where the user is looking.
Several headsets join the same space at once, with each user's state and results kept cleanly apart.
Latency-critical work runs on the device; heavy perception and reconstruction run on an edge server.
Platform
SymbAIR is designed so that device, edge and agent layers each focus on their own job — and new capabilities and devices extend it layer by layer.
Agentic Layer
An AI agent understands language and composes the platform's capabilities into experiences in space.
Edge Intelligence
A GPU server handles the heavy work — reconstruction, object recognition and relation reasoning — in real time.
Device Runtime
Tracking, hand input, rendering and physics run natively on the device, which stays the source of truth for moving objects.
Sensor streams stay off the AI's reasoning path, protecting the experience's responsiveness.
A new capability becomes usable by the agent simply by registering it with the platform.
Space and user state are kept apart, so results never mix in multi-user sessions.
Use cases
Recognise real equipment and spaces, and overlay step-by-step guidance and hands-on content on top.
Reconstruct workspaces and structure their objects to tie inspection and maintenance data to real locations.
Several people place and review virtual objects together, in the same physical space.
An experimental base for research on spatial understanding, agents and human–AI interaction.
Roadmap
Collaborate
From joint research to pilots in the field — tell us what you're interested in and we'll get back to you.
Joint research, funded projects, data and experiments
Evaluation, field pilots, commercial partnership