Proof of Usefulness Report

Equine Match

Analysis completed on 3/7/2026

+230
Proof of Usefulness Score
Gaining Momentum

Equine Match is a verifiable, high-utility project applying advanced AI/ML to the thoroughbred bloodstock industry, backed by Oxford University innovation and Innovate UK. Despite the high quality of the project itself (strong technical innovation, clear B2B utility), the submission contained significant inaccuracies (claiming 'everyone' as audience, 'most people' as users) and poor data quality, which heavily penalized the Reach and Response Quality scores. The project scores well on Innovation and Utility but falls into the 'Small but promising' category due to its niche nature and early-stage traction.

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Score Breakdown

Real World Utility+102.0
Audience Reach Impact+12.0
Technical Innovation+81.0
Evidence Of Traction+24.0
Market Timing Relevance+34.0
Functional Completeness+2.0
Subtotal+255
Usefulness Multiplierx0.90
Final Score+230

Project Details

Project URL
Description
Equine Match offers a remarkable suite of proprietary tools for thoroughbred breeders deliberating on mating opportunities and buyers of foals, yearlings and unraced horses, either privately or at auction, anywhere in the world. Equine Match leverages a unique global, large and deep thoroughbred pedigree database with proprietary analytical tools to produce our flagship product - Predictive Pedigree Ratings. This analysis provides a numerical probability that a proposed or actual mating outcome will achieve three levels of success on a racecourse during its racing career, namely be a Group Winner, Stakes Winner or Black-Type Performer. There are a total of 6 proprietary Equine Match tools that support bloodstock investors. These include 12-generation Pedigree Pattern Reports, Sire Reports, Inbreeding Coefficient Reports and Dosage analysis. In addition, you will find other popular tools such as Nicking Reports, Common Ancestor Reports and Offspring & Sibling Lists. Data analysis has thus far been a muted contributor in horseracing, and particularly the bloodstock side of this large global sport and industry. We expect that the use of AI and ML with our unique and large database will continue to open a future pathway of exciting and brilliant tools that overcome human bias and the limits of human analysis. These resources will be considered a “must-have” for anyone considering a bloodstock investment. Connect with us! Instagram: @EquineMatch Facebook: Equine Match

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline