Core Innovation
VividQ's core innovation is a software platform for Computer-Generated Holography. CGH works by computing interference patterns (holograms) that, when displayed on a Spatial Light Modulator (SLM) illuminated by coherent light, reconstruct true 3D images with accurate per-pixel depth. This is fundamentally different from stereoscopic 3D, which fakes depth using two flat images, and addresses the vergence-accommodation conflict that causes eye strain and nausea in current VR/AR headsets.
The Pipeline
Compute
Proprietary algorithms generate holographic interference patterns from standard 3D content sources (Unity, Unreal Engine). The key breakthrough is real-time processing at 100 FPS on commercially available GPUs, including mobile Arm Mali GPUs.
Display
Patterns are rendered to Spatial Light Modulators (SLMs), supporting multiple display types including LCoS (liquid crystal on silicon), DMD, and PLM.
Illumination
Coherent or partially coherent light sources (lasers or LEDs) illuminate the SLM pattern to produce the 3D holographic image.
Key Algorithmic Innovations
- Triton Algorithm (2021): Major step forward in holographic compute performance, with improvements to contrast, despeckle, and color balancing.
- 3D Waveguide (2023): Patented the "world's first 3D waveguide" combiner for AR glasses, breaking established constraints on Field of View and Eyebox, the two main limitations preventing AR glasses from reaching consumer form factors.
- Retina-Resolution Holograms (2024): Demonstrated 4K retina-resolution holograms using JVCKenwood LCoS displays.
What Problem It Solves
Current AR/VR displays use stereoscopic rendering, which creates a mismatch between where the eye focuses and where it converges (vergence-accommodation conflict). This causes eye strain, headaches, and limits usage duration. Holographic displays solve this physically by presenting images at correct optical depth. VividQ's contribution is making holographic computation fast and efficient enough to run on consumer hardware.
Technical Differentiation
Software-first approach: Rather than inventing new display hardware, VividQ writes algorithms that work with existing, mass-produced components (LCoS panels, standard GPUs). This is a deliberate strategy to avoid the capital intensity and manufacturing risk of hardware-centric competitors.
IP Portfolio
Key patent areas: holographic image display systems, space-frequency transforms for hologram generation, 3D waveguide combiners. IP spun out of the University of Cambridge Photonics Lab.