Fair Dinkum Systems Team

Fair Dinkum Systems

Enterprise Grade AI Products

Automated Payroll Auditing

Transform Your Payroll Audits

From 2-Week Cycles to 1-Day Turnarounds

  • Automate reconciliation of timesheets, bank transactions, and employment contracts
  • Ensure compliance with statutory and EBA award rates while maintaining complete audit trail integrity

CompenSure is our automated payroll audit platform designed for accounting firms and enterprises. By eliminating manual data processing and leveraging intelligent automation, we help firms dramatically reduce audit times while improving accuracy and compliance.

Our platform seamlessly integrates with existing payroll systems to provide real-time insights, anomaly detection, and comprehensive audit reports that meet regulatory requirements.

Learn More About CompenSure
Battery Lifecycle Management

The Future of Energy is Electric

Batteries are at its Heart

  • Global battery demand has grown 33% annually for three decades, with electric vehicles and autonomous systems driving even stronger future growth
  • Battery chemistry's complex, non-linear behavior makes it ideal for deep learning applications

We're building the next generation of battery lifecycle management software. Our SaaS platform (in development) empowers manufacturers to precisely forecast battery Remaining Useful Life (RUL) and perform Impedance Matching using cutting-edge machine learning.

Using a well known battery charging dataset our algorithm accurately predicts the RUL of LFP/graphite cells with just 15 charging cycles of data.

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Our Technology

Battery Life Prediction

What this means in practice: We can predict remaining battery life within 15 cycles using 85% less data than traditional approaches. This enables faster quality control, reduced testing costs, and more efficient battery development.

We're now partnering with battery manufacturers to demonstrate these capabilities at commercial scale. Together, we're building a more sustainable and efficient energy future.

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Our Team

Meet Our Team

Our team of experts is dedicated to pushing the boundaries of A.I. and delivering innovative solutions.

  • Louka Ewington-Pitsos
    Louka Ewington-Pitsos Machine Learning Project Lead
  • Michael Reitzenstein
    Michael Reitzenstein Principle Data Scientist
  • Victor Goh
    Victor Goh Research Scientist
  • Alan Huynh
    Alan Huynh Machine Learning Engineer
  • Lucas Rose-Winters
    Lucas Rose-Winters Backend Developer