Build the CHANGE.
Curiosity, Competence, Culture.
Our Mission.
Empower asset-intensive industries to achieve peak reliability and operational excellence.
Our Story.
The idea for AssetM.AI was born from a pressing need we witnessed firsthand across high-reliability and asset-intensive industries. These sectors generate vast amounts of data from concept - design - construction - operation - maintenance but often struggle to derive actionable insights in a way that is both contextual, transparent and secure.
As AI reshapes our relationship with knowledge, data, and asset management, we have explored how we can steer this transformation for enhanced asset performance.
Our vision embraces change, challenges status quo, whilst balancing innovation, responsibility, and opportunity for both business and humanity. We founded AssetM.AI to address this gap.
Our mission is to build Asset Management systems that don't just analyse data but do so in a way that is fully transparent and auditable.
AssetM.AI shares our optimistic vision for the future. A world where individuals can explore, learn and share knowledge & experience.
Our Leadership

Our leadership team comprises seasoned engineers, innovative thinkers, and software experts deeply committed to understanding and resolving the critical asset management challenges confronting today's process industries.

More than three decades of experience as an engineer, entrepreneur, and technologist. Proficient in design, construction, and maintenance within Oil & Gas, Mining, Power and Defence sectors.
B.E. (Mech), (CAD, CAE, CAM), Systems & Piping Engineering, Data Science, Computer Vision (AI).

Over 30 years of experience in government, EPCM, and owner/operator roles. Expert in governance & assurance frameworks and technology innovation. Skilled in design, construction, project and change management, maintenance across Oil & Gas, Mining, and Transport Infrastructure sectors.
B.E. (Civil), MBA. Transport Management, CPEng (Ret.)

Technical lead with 17 years' experience designing and automating cloud-based systems. Works across .NET Core, Python, Angular, Neo4j and MSSQL, building scalable SaaS products on AWS with an emphasis on performance, reliability and security.
Bachelor of Computer and Mathematical Sciences.

Full-stack engineer building SaaS and enterprise software end-to-end, using Angular/TypeScript on the front and .NET/Python/Node on the back, shipped on AWS with Docker, CI/CD, and infrastructure as code. Recently focused on AI/RAG agents and retrieval design (vector/graph data), delivering clean, scalable products from prototype to production.
Bachelor of Computer & Data Science.
OFFICE
300 Murray Street, Level 2 East,
The Wentworth Building,
Perth WA 6000
Australia