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Agentix Labs / Applied AI R&D

Research that expands what we can build.

Alongside our commercial work in custom AI systems and automation, Agentix Labs explores visual intelligence and spatial computing. This is our space for applied research and experimental systems.

Featured ResearchIn Development

PongVerse: multi-camera sports intelligence

PongVerse explores a shared 3D sports environment built from synchronized camera views. Existing work includes detection, pose estimation, camera calibration, and Unity visualization.

The project remains research in development. Its pipeline and visual outputs show the engineering direction without implying that every proposed analytics feature is complete.

Explore the research and recorded demo

Research Pipeline

Multi-camera spatial intelligence

In Development
  1. 01

    Synchronized Cameras

    Aligned multi-camera views

  2. 02

    Perception & Tracking

    Detection, pose, and tracking

  3. 03

    3D Reconstruction

    Multi-view spatial positions

  4. 04

    Unity / Digital Twin

    Shared 3D visualization

Research Focus

Applied research areas

Deeper applied engineering across perception, spatial understanding, and real-time visual systems.

Perception01

Computer Vision & Deep Learning

Object detection, tracking, and pose estimation form the perception layer of our PongVerse research.

Sensor Fusion02

Multi-Camera Intelligence

Explore how synchronized views and camera calibration can combine information across a scene.

Spatial Computing03

3D Vision / Reconstruction

Use multi-view geometry to reconstruct spatial positions and visualize them in a shared 3D environment.

World Models04

Digital Twins & Real-Time AI

Explore digital representations of physical environments and the challenges of processing live visual streams.

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