• What is the value of Data Science?

    Data Science can help businesses improve their bottom line by helping solve their particular challenges and enabling better decision making. For instance, businesses can benefit from extracting more value from their data to:
    • Improve the understanding and characterisation of their business processes to identify efficiency gains,
    • Profile customers and monitor customer changes over time,
    • Identify the most valuable market segments to target,
    • Provide their clients with added services developed using models leveraging data aggregated over multiple clients,
    • Use predictive analytics for forecasting or real-time alerts…
    More data is being created and in new ways. Using this increasingly diverse data will provide advantages for early adopters. At Iris Data Science, we provide a suite of services to record, store, transform, combine, clean and analyse data, provide predictive analytics, data visualisations and dashboards, and real-time alerts to extract valuable insights for businesses.

  • Latest News

    Iris Data Science in Artificial Intelligence report

    The team at Iris Data Science are thrilled to have been acknowledged in the "Artificial Intelligence: Shaping a Future New Zealand" report produced by the AI forum, New Zealand.

    You can find us in Figure 1 – New Zealand AI Landscape, 'Professional Services' section on page 2 of the Artificial Intelligence: Shaping a Future New Zealand report. The Minister for Government Digital Services and Broadcasting, Communications and Digital Media, Clare Curran, on May 2 launched the report which outlines the opportunities and challenges for New Zealand in adopting AI.

    Iris Data Science has been working in the AI space for some time, delivering for a range of sectors. Currently we are focusing on deep learning technologies, applied mainly in the agricultural, environmental and health sectors. Read More

    At the recent MobileTECH conference in Rotorua, the Iris team presented on Artificial Intelligence for the primary sector, see the media release: Is artificial intelligence the future for the primary sector?

    The team at Iris Data Science are looking forward to playing an on-going part in the AI landscape!

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  • Our Team

    Benoit is an experienced data scientist, with projects involving large datasets, visualisations and sensor data.

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    Benoit Auvray

    Director and Lead Scientist

    Greg Peyroux is the Managing Director at Iris Data Science and has over 15 years’ experience as an ICT leader, manager and strategist.

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    Greg Peyroux

    Managing Director

    Masha Mikhisor is a computer vision and machine learning engineer at Iris Data Science. Masha has experience in applying different supervised and unsupervised learning methods for real time image recognition tasks.

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    Masha Mikhisor

    Computer Vision and Machine Learning Engineer

    Haitao Xu is a data scientist and machine learning engineer. He has experience in both classical machine learning and deep learning methods.

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    Haitao Xu

    Data scientist and machine learning engineer

    Ivan Piacun is a Solutions Architect and a Senior Microsoft SQL Server Database Administrator and passionate about achieving performance in SQL Server and SSAS commensurate with the environment they are being used in.

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    Ivan Piacun

    Solutions Architect and Senior Database Administrator

    Harley Paterson is a software engineer and computer systems researcher. Harley has experience in aerospace, telecommunications, and higher education. He has interests in embedded computing, high-performance and real time software, and operating systems.

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    Harley Paterson

    Software Engineer

    Oliver Molteno is an Electrical Engineer at Iris Data Science,

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    Oliver Molteno

    Electrical Engineer

    Reuben Crimp

    Web designer and developer

  • Our Clients

    What clients say about Iris Data

    Decision Sciences, Software Engineering & Analytics


    Working with Greg over a number of years on the development of nutrient management software, I found Greg to be passionate about his work, very easy to deal with and accommodating to others ideas and decisions. Greg kept the momentum going which was particularly important where obstacle’s arose, while providing the technical guidance to see the project through to completion.


    Jim Risk Sci Extn Nutrient Dynamics Specialist, Ballance Agri Nutrients

    Sports Analytics


      Iris Data Science provided the ODT with picks for the Super Rugby competition during the 2017 season and its accuracy could not be faulted.

    The LAMP  (Losing & margin predictor), as it was known, easily beat out the two human selectors, and brought something different and new to the selection table every week.   


    Steve Hepburn Sports Editor, Otago Daily Times

  • Contact Us

      + 64 21 262 9769

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