ALIVE3D's proof of concept for sports analytics

The Challenges

The sports analytics industry relies on approximation, estimating reality through indirect data. ALIVE3D aims to change this paradigm. Their patented Dynamic Angle Viewing System promises unprecedented "ground truth" data by fusing LiDAR sensors (which create precise 3D models using lasers) with RGB cameras. The challenge? Proving this fusion is feasible for dynamic sporting environments.

ALIVE3D needed a partner to navigate R&D uncertainties and deliver a compelling proof of concept. The goal was clear: validate the technology and create an investor-ready demonstration to support fundraising.

Our approach

We approached R&D challenge across three technical planes:

Sensor data acquisition

Capturing high-quality, microsecond-synchronized data from multiple LiDAR and RGB sensors simultaneously. This required solving complex timing and calibration challenges to ensure data from different sensor types could be combined.

Infrastructure architecture

Building a technical foundation capable of recording at the required throughput without data loss or deformation. This meant designing systems around 100 GbE networking, PTP synchronization protocols, and high-performance storage solutions.

Technology consulting

Developing algorithms for data fusion using computer vision, geometric processing, and deep learning techniques, then creating an investor-ready web application to demonstrate the results in an accessible format.

The solutions

The Phase 1 deliverable combined sophisticated backend processing with a polished frontend demonstration, designed specifically to support startup fundraising narratives.

Technologies

Azure

.Net

React

Angular

React Native

Computer vision & AI

Python ecosystem

Core processing pipeline for point cloud operations, geometric processing, and deep learning models.

CUDA

GPU acceleration for computationally intensive data processing.

Machine learning and deep learning

Research-grade implementations for sensor fusion algorithms.

Sensor infrastructure

Industrial cameras + LiDAR sensors

Multi-modal data capture system combining multiple sensor types.

High-speed networking with precision timing

Microsecond synchronization across all sensors.

Enterprise storage architecture

High-throughput data recording without loss or deformation.

Visualization platform

Webflow + three.js + TypeScript

Interactive 3D web experience designed to support startup fundraising narrative.

Figma

Design system and UI/UX.

Machine learning and deep learning

Research-grade implementations for sensor fusion algorithms.

And sometimes, innovation requires unexpected tools

When commercial sensor mounts couldn't handle temperature variations, our team built custom mounts using power drills, files, and screwdrivers – proving that R&D success often depends on creative problem-solving at every level.

Results

Technical validation achieved

The Phase 1 proof of concept successfully demonstrated:

‍

LiDAR-RGB fusion feasibility – Confirmed that merging laser-based 3D modeling with traditional imagery is viable for dynamic sports environments.

Microsecond-level synchronization – Achieved the precision required for capturing fast moving athletic action across multiple sensor types.

Real-time processing pipeline – Built infrastructure capable of handling massive data throughput from multiple synchronized sensors.

Investor-ready demonstration – Delivered an interactive web experience that effectively communicates the technology's potential.

R&D milestones delivered

Beyond the core technical validation, the project achieved several critical milestones that de-risked ALIVE3D's path to commercialization:

Multi-sensor calibration methodology – Developed repeatable processes for aligning LiDAR and RGB data streams.

Data quality benchmarks –Established metrics for evaluating fusion accuracy and identifying optimization opportunities.

Scalable architecture design – Created a technical foundation that can accommodate additional sensors and higher data volumes in future phases.

Documentation and knowledge transfer – Produced comprehensive technical documentation enabling continued development.

Business
readiness

The live demo is now ALIVE3D's primary tool for investor presentations and partnerships. Designed with simplicity, accessibility, and narrative support.

‍

 Phase 1 success directly enabled the client to secure Phase 2 development, validating our technical approach. Beyond code, Qodeca supported business processes and network building. This shared experience broadened our strategic perspectives and gave ALIVE3D deeper insight into technical possibilities - the strongest endorsement of the project's outcomes.