AI-assisted scene building
Describe an object, get low-poly geometry, then decide whether the room needs a texture pass.
Spatial research · one continuous system
OpenAREA helps researchers and educators build low-poly 3D scenes with AI, add conversational agents where useful, run multiplayer AR sessions, and preserve structured records ready for analysis.
Built for researchers and educators who need the experience and its evidence to stay connected.
One platform, four connected capabilities
Describe an object, get low-poly geometry, then decide whether the room needs a texture pass.
Give selected scene objects a conversational agent with a defined role and room-authorized actions.
Bring participants into one shared scene from the devices already in the room.
Keep the session as replayable evidence instead of a loose collection of media files.
From scene to session to record
A session keeps its scene, live room, and record connected rather than asking a research team to reconstruct the relationship afterward.
Build objects, place them in the environment, add agents where they help, and decide who can enter or edit.
Open one invitation, enter the same augmented space, and observe a live room without joining as a participant.
Return to the timeline, inspect what the room retained, and use the replayable record as your starting point for analysis.
Research record, not a highlight reel
OpenAREA preserves what the room received, how the session changed, and where evidence is incomplete. Researchers can replay the chronology before deciding how to analyse it.
Spatial events, room actions, and enabled conversation evidence stay on one ordered timeline.
Missing intervals and derived signals remain named rather than being smoothed into false certainty.
Each retained package keeps its recording lineage, integrity information, and session boundary.
Open the next room