STAR-T XR is an immersive product surface for education, exhibition, culture, and collaboration scenarios, connecting AI docent flows, AR-first interaction, and operator tooling.
Source: xr_incheon
Source: xr_incheon
We prioritize XR systems that can be operated and extended, not just demo moments.
XR learning and training flows designed around what learners and field users can actually understand and use.
Story-driven museum and exhibition experiences such as artifact scan, reconstruction, and AI docent flows.
Immersive collaboration experiences where communication and spatial interaction matter.
We design the operator surface too: content input, dashboards, event logs, and analytics.
These are the public XR repositories we can credibly use as the base of this surface.
AI-XR lifecycle engine for turning cultural, exhibition, tourism, and education content into reusable XR experiences.
An XR product skeleton with Unity runtime, backend/CMS contracts, builder tooling, event logging, and analytics loops.
Unity AI-XR museum MVP with AR scan, VR preview, AI docent, analytics, and backend services.
An AR-first museum MVP blueprint with a clear artifact scan, recognition, and XR reconstruction flow.
Next.js-based XR web surface foundation for an Incheon-focused experience layer.
A usable reference for quickly composing a dedicated web foundation for XR surfaces.
The visual layer also uses only assets that already exist inside the XR GitHub repositories.
Source: xr_incheon
A full demo view from the Incheon XR web surface. The page visual tone is grounded in actual repository assets.
Source: xr_incheon
A reference image showing the AI docent interaction and UI layer inside an XR experience.
Source: xr_incheon
A visual reference for AR scene direction and spatial storytelling in field-based experiences.
We first lock the user and operator scenarios: who experiences what, in which space, and in which moment.
We compress Unity, AR/MR flows, and backend contracts into a pilot-ready prototype quickly.
We extend into content operations, event logging, curator/operator workflow, and analytics.
Our current public references already span a product skeleton, an AR museum MVP, and a dedicated XR web surface foundation. Once the scope is clear, we can help define the path from PoC to pilot operations.
