The newly formed Thoroughbred Innovation Advisory Board (TIAB) has officially launched, bringing together a cross-section of industry leaders with deep, hands-on experience in technology and innovation across the thoroughbred ecosystem.
Collectively, TIAB members represent a daily reach of more than 130,000 owners and breeders, more than 2,000 stables, active databases of 100,000’s of horses and together, capture over 500,000 welfare data points every day. This breadth of engagement ensures the Board’s insights are firmly grounded in the realities of daily operations while providing unparalleled visibility across both the racing and breeding sectors.
The Advisory Board was established to provide regulators and decision-makers with a trusted sounding board and access to independent expertise, ensuring industry strategies are built on practical foundations that promote growth, attract investment, and future-proof the sport.
“Stakeholder support was immediate because it’s clear that new technology frameworks, like the SNS and Stud Book, will determine the scale of future growth. Without them, delivering the cost savings and efficiencies the industry needs will remain out of reach. We are all committed to sharing our data, IP, networks, and daily reach to help ensure rollouts are modern, scalable, and embraced across the sector,” said Tom Seymour, Convenor of the TIAB.
Recognising the critical juncture in time for the thoroughbred industry, all members have volunteered their time and intellectual property in the belief that new solutions can be found for long-standing challenges. The Board intends to work with a national focus, while remaining open to supporting state and regional initiatives where collaboration can deliver meaningful outcomes.
The launch of the TIAB signals a commitment not only to smarter technology adoption, but also to driving efficiencies, fostering skills, and ensuring innovation thrives for the benefit of all stakeholders.
Founding Member Organisations:
Inglis Digital, Ardex, G1 Goldmine / Stallion Match, Prism, Thoroughworks, WrkPlace Digital, Race Day Ready (Data Analytics), Breedr, Arioneo
