Our Projects

At A2I Hub, we deliver innovative AI and data solutions across multiple industries. Our projects demonstrate expertise in machine learning, automation, and intelligent system design.

AI-Powered Overpayment Detection in Healthcare Claims

Owner: Cotiviti
This project enhanced and optimized AI models to detect overpayments in healthcare claims, including out-of-network and bilateral treatment cases.

Digital Building Ecosystem

Owner: Quipex
An AI-powered platform that centralises and manages all building-related information in one secure ecosystem. The system enables effortless upload, categorisation, and retrieval of documents such as occupancy certificates, maintenance logs, and warranties. It streamlines handovers, reporting, and maintenance while preventing data loss and improving real-time accessibility and operational efficiency.

Anomaly Detection Illustration
Agentic AI Illustration

Optimo Pathfinder Financial Platform

Owner: Intelligent Energy Systems, Sydney
Developed an online platform using C# and Azure App Services for secure, scalable financial strategy planning and linear programming solutions.

Tennis Match Predictive Analytics System

Owner: EDWORKZ PTY LTD, Sydney
Built a cross-platform AI system to predict tennis match outcomes using machine learning techniques and GPU acceleration for improved accuracy and performance.

3D MRI Brain Segmentation System

Owner: Griffith University, Gold Coast
Developed advanced 3D MRI brain segmentation models using Genetic Algorithms for mid-sagittal surface detection and unsupervised learning techniques such as Fuzzy C-Means, KNN, and K-Means clustering.

Wind Turbine Production Forecasting

Owner: Intelligent Energy Systems, Sydney
Built an MLOps pipeline using deep learning and time series models to accurately forecast wind turbine production, optimizing energy distribution.

Data Science Illustration
Data Science Illustration

Automated Waste Segregation & Medical Identity Verification System

Owner: Nottingham University, Malaysia
Designed a fuzzy rule-based system to automate waste segregation and verify medical identities efficiently.

Storage Management System

Owner: ISACO Company
Developed an AI-driven Storage Management System to optimize ordering, collection, packing, and shipment processes, significantly improving operational efficiency.

RFID-Based Parking Management

Owner: University of Science and Culture
Designed and implemented an automated vehicle entry, exit, and monitoring system using RFID technology, enhancing parking operations and user experience.