About
Practical asset intelligence, built from real-world experience.
Practical asset intelligence, crafted from real-world experience.
Who we are
Intarsic combines deep asset management experience, digital system modelling, software development and practical implementation to help asset-intensive organisations leverage existing systems and data through a governed decision-support ecosystem.
Based in Brisbane, Queensland, we work with organisations that need to improve asset decisions, strengthen operational performance and protect existing technology investment. Led by experienced practitioners across asset management, business systems, digital modelling and delivery.
What makes Intarsic different
A modular, composable and outcome-focused approach that maximises value, minimises risk and builds capability progressively without unnecessary disruption.
Strategic partnership
Through AMPRO Applications, Intarsic extends the ecosystem into supported asset, maintenance and works execution capability.
Our commitment
To make asset intelligence simple, usable, trusted and directly connected to the outcomes that matter.
Leadership
Intarsic is led by experienced practitioners with deep expertise across asset management, business systems, digital modelling, advanced analytics, software development and practical project delivery.
John Galea
Chief Executive Officer and Co-founder
John is an established Asset Management expert with deep knowledge of all asset management functions, processes, systems, and techniques including applicable international standards and industry best practice methodologies.
Key Expertise:
- • Developed and implemented ISO5500x compliant Asset Management Systems
- • Established and led asset management strategic projects for major organizations
- • Delivered successful implementations of maintenance management software
- • Detailed technical and practical understanding of various legacy systems and business processes
Don Sands
Chief Technology Officer and Co-founder
Don is an industry leader in advanced asset optimisation, complex system modelling, digital-twin development, and the application of artificial intelligence to support asset and investment planning.
Key Expertise:
- • Developed comprehensive digital-twin capabilities with advanced analytics
- • Applied machine learning and AI to enhance decision-making in complex asset systems
- • Delivered multi-million-dollar savings to government and private industry clients
- • Extensive experience in mining, hydrogen, and renewable energy sectors