Illium provides an AI‑driven computer vision and sensing platform that captures real‑time visual and spatial data from physical environments and continuously maps it to digital twins.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that rely on mixed-reality applications struggle to synchronize physical assets with their digital counterparts, leading to fragmented data, limited automation, and poor user experiences.
Solution
Illium offers an AI-driven computer vision and advanced sensing platform that captures real-time visual and spatial data from physical environments and maps it to virtual representations. The system processes sensor inputs with deep learning models to identify objects, track movements, and generate semantic metadata on the fly. This digital twin is delivered through APIs that enable downstream analytics, autonomous control, and immersive experiences across AR/VR, robotics, and IoT applications. By providing a continuous, low-latency link between the real world and digital platforms, Illium allows developers to build automation workflows, predictive analytics, and interactive content without manual data labeling or custom hardware integration.
Target Audience
Primary customers are developers and product teams building mixed-reality, robotics, or IoT solutions that require live synchronization of physical environments with digital platforms.
Features
- Real-time 3D scene reconstruction using multi-camera computer vision pipelines
- Deep learning object detection and semantic segmentation optimized for edge deployment
- Sensor fusion framework that combines visual, depth, and inertial data for robust environment understanding
- Scalable cloud and on‑premise APIs for streaming digital twin updates to AR/VR, robotics, and analytics services
- SDKs for Unity, Unreal, and ROS that simplify integration of physical‑to‑virtual data streams
- Automated asset indexing and metadata generation to support search, analytics, and automation workflows