Who this is for
Platform and integration teams
- Digital human and avatar platforms
- Spatial AI / world-model product teams
- Enterprise AI assistant and kiosk integrators
- Experience system builders (retail, museum, hospitality, events)
For AI platforms
Physical Runtime for Spatial AI
and Digital Humans
Illume is AI-native by design: API-first integration from model output to shared, headset-free physical presence in real environments.
Integration readiness
What to prepare before a call
- Defined output pipeline (text, media, avatar, or interaction stream)
- Target deployment context (home, retail, museum, enterprise)
- Latency and quality goals for the user experience
- Operational model for updates, support, and content iteration
The emerging AI stack
Language and agent layer
LLMs, copilots, and decision engines that drive intent and dialogue.
Vision and world models
Spatial intelligence pipelines that reason about scene geometry and context.
Digital human layer
Avatar and character systems that make AI social, conversational, and embodied.
Physical runtime layer (Illume)
Headset-free spatial output so AI presence can be shared in real environments.
Integration flow
From AI output to human reality
- Ingest AI output (text, media, avatar stream, interaction state)
- Map output to spatial rendering profiles and device class
- Run playback/runtime orchestration across deployment nodes
- Deliver shared spatial presence in homes, retail, museums, and enterprise spaces
Runtime modes
Form factors mapped to deployment goals
Illume Frame
Narrative and portrait-driven emotional presence
Illume Box
Depth-forward visual impact at architectural scale
Illume One
Interaction-first floating interface and digital-human moments