About us​

We're growers, just like you

As vineyard owners, we understand the challenges faced by grape growers and viticulturists. We teamed up with other growers and IT professionals to pursue innovative yield and vine health analysis, and facilitate better vineyard management decisions.

Our Goal

We strive to merge modern leading technologies with viticulture to enable vineyard owners to make better management decisions, while reducing operation costs, increasing productivity and fostering good quality crops.

Our Team

Fiona Turner
Founder & CEO

With a background in Deep Tech, Innovation and Product Development, as well as managing her own vineyard, it was Fiona’s destiny to combine her passion for technology and love for wine. ​The result? Bitwise Agronomy.

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Aran Elkington
CTO

Aran is a seasoned developer and technological polymath, well-versed in a plethora of different programming languages, architectures and environments. He has extensive experience leading Agile development teams and Aran’s goal at Bitwise is to harness the ever-changing world of technology to rapidly deliver value to customers.

​​Dr Fiona Kerslake
Head of Agronomy

​Dr Fiona Kerslake has a PhD in Pinot Noir viticulture and has gathered expertise in sparkling wine viticulture, cider and wine making over the last 15 years. She has a breadth of knowledge across annual and perennial horticulture crops, as she has spent the last three years as Head of Horticulture for the Tasmanian Institute of Agriculture at the University of Tasmania.

Zeljka Mikulic
Senior Data Quality and Curation Engineer

Zeljka has spent 12 years working in software system development and project management roles, consulting with companies in a wide variety of industries. Her primary area of interest has been to use technology and its associated data to help companies better understand and improve their business processes.

Annie Xu Wang
Machine Learning Engineer

Annie primarily involves herself in developing automatic solutions to efficiently and effectively monitor your vineyard. With extensive experience and knowledge in image processing, computer vision and machine learning in agriculture. She is also a PhD candidate at UNSW SRV group and works in deep learning for apple orchards.​
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Kew Jie Long
Machine Learning Engineer

Working as a Full-stack developer. Applied researcher and AI Engineer specialising in Deep Learning Computer Vision, especially in image restoration and image enhancement. Familiar with Tensorflow and Pytorch machine learning framework and capable of solving industry problems, not only conceptually but also well into production stages.