Universe Invedors Research Studio

Developing scalable pipelines for AI-generated video content — combining LLM script generation, Manim animation, diffusion visuals and TTS narration into a unified production workflow.

Research into real-time lip synchronisation for 3D avatars using phoneme-driven audio analysis and blend-shape animation — targeting sub-50ms latency for live applications.

Designing multi-agent architectures capable of autonomous task execution, tool use and long-horizon planning — for deployment in enterprise software workflows rather than research demonstrations.

Exploring text-to-3D and image-to-3D reconstruction methods — NeRF, Gaussian Splatting and mesh generation — optimised for game and XR asset pipelines rather than research renderings.

Research into converting 2D engineering drawings and orthographic projections into parametric 3D models for architecture, industrial simulation and digital twin creation.

Building production computer vision pipelines for object detection, tracking, pose estimation and scene understanding — targeting deployment on edge devices and GPU cloud infrastructure.

Researching interaction models beyond controllers — spatial gestures, gaze-driven UI, voice-native environments and ambient spatial computing interfaces for enterprise and consumer XR.

Developing real-time digital human systems with believable facial animation, dynamic hair, cloth simulation and AI-driven conversation — targeting training simulations and virtual consultation platforms.

Building virtual collaboration infrastructure for distributed teams — shared 3D workspaces, spatial annotation, real-time data visualisation and presence systems for enterprise XR.

Research into bidirectional digital twin architectures connecting live industrial sensors, ERP systems and operational databases to real-time 3D simulation environments.

Advancing the fidelity and assessment capabilities of XR training simulations — including AI-driven scenario variation, performance analytics and adaptive difficulty systems.

Designing and building spatial interfaces for healthcare — virtual consultation environments, medicine visualisation, patient journey tools and clinical training simulations.

Research into how XR, AI and interactive 3D environments can improve learning outcomes across vocational training, STEM education and professional development.

Exploring how technology can augment human performance in physical, cognitive and professional domains — through feedback systems, simulation, AI coaching and immersive training.

Long-horizon conceptual research into the intersection of neuroscience, immersive technology and consciousness — exploring non-invasive BCI concepts for XR environment interaction.