Horse Intelligence Reimagined.
A racing intelligence platform that reads every horse, jockey, and race the way a quant reads markets — turning raw data into predictive insight in real time.
A racing intelligence platform, not a tipping service.
Horse Monk ingests form, sectional, and performance data and turns it into structured intelligence — ratings, trends, and predictive models you can actually reason with. It's built for everyone who takes racing seriously, from professional analysts to owners and media teams.
Everything you need to read a race
A complete intelligence suite spanning horses, jockeys, trainers, and the races that connect them.
Horse Analytics
Deep performance profiling across distance, surface, and conditions.
Performance Analytics
A unified rating that normalises form across every race environment.
Jockey Analytics
Jockey performance, pairings, and tactical tendencies.
Trainer Analytics
Trainer patterns, strike rates, and stable form signals.
Race History Analytics
A complete, queryable historical record for every runner.
Comparative Intelligence
Head-to-head context and predictive comparison across runners.
Smart dashboards, not static reports
Explore a live mock of the Horse Monk intelligence dashboard.
The intelligence under the hood
AI Models
Proprietary models trained on deep, structured racing data.
Analytics Engine
Real-time computation of ratings, trends, and probabilities.
Data Processing
High-throughput ingestion of form, sectional, and biometric data.
Historical Engine
Years of racing history, indexed and instantly queryable.
Built for the whole ecosystem
From raw data to real insight
Analyze racing data
Bring together form, results, and performance data in one place.
Study horse performance
Profile runners across distance, surface, and conditions.
Compare race history
Explore historical races and head-to-head context.
Generate insights
Surface predictions, ratings, and trends to inform decisions.
Future ready
Flexible plans for analysts, owners, and enterprise partners. Talk to our team about early access.