Daniel Tzvetkoff

Before founding Stacked Farm, Daniel worked in financial technology and software development, building systems capable of processing large volumes of data and automating complex operations.

That experience became the foundation for his approach to agriculture. He recognised that many of the challenges facing fresh food production, from inconsistent growing conditions to labour-intensive processes, could be approached differently through engineering and automation.

Rather than adapting existing farming equipment, Daniel set out to develop a system designed around automation from the beginning.

At Stacked Farm, Daniel has led the development of a farming model that brings robotics, controlled growing environments and data intelligence together.

The company designs and builds its own automated vertical farms, with technology managing everything from seeding and plant movement to growing conditions, harvesting and packing.

By developing these systems in-house, the team can continually refine how its farms operate, improving efficiency, consistency and crop quality with every generation of technology.

The aim isn't simply to automate farming. It's to make fresh food production more predictable and commercially viable, with greater control over how produce is grown and fewer of the variables that can affect traditional agriculture.