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Most organisations don't lack data. They lack the engineering to make it useful. They adopt platforms, subscribe to AI tools, and expect results. But when the model fails on their specific conditions, or the data doesn't fit the template, there's no one who can open the hood and fix it. Having a data platform is not the same as having data capability. Having an AI subscription is not the same as having AI capability. Arrayen is a Data Engineering company built on a simple principle: Makers, not Users. We don't configure off-the-shelf software and call it a solution. We understand the mathematics and code behind the tools, so when the standard approach fails, we build a new one. We work across three core areas: • Data Engineering & Analytics Building the foundations that make data usable. Automated pipelines, structured datasets, advanced analytics, and reporting platforms that replace manual effort with scalable, repeatable systems. • Artificial Intelligence Custom AI and machine learning models engineered for real-world conditions. Computer vision, natural language processing, and predictive analytics built to perform where generic tools fall short. • Geospatial Intelligence GIS, remote sensing, spatial analysis, and real-time monitoring. Turning location data into operational insight for asset management, environmental monitoring, and infrastructure delivery. Our clients include local governments, engineering consultancies, and organisations managing complex data and asset portfolios across Australia. We start with the problem, not the platform, and we build solutions that work in the field, not just in the demo.

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James O'Kane is the Co-Founder | AI and Data Engineering of Arrayen.

2 people are employed at Arrayen.

Arrayen is based in Brisbane, Queensland.

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