Why it matters
Without AI, going assessments rely on manual judgment and inconsistent reports, risking unsuitable training surfaces, increased soft tissue stress, and potential regulatory issues from incorrect declarations and welfare concerns.
From design to safety
Design
AI guides surface design and selection
The system defines data needs from woodchip, polytrack, turf, rainfall, and going readings to shape initial gallop design and surface management plans. It maps surface variance, moisture models, and compaction targets to form a baseline for each surface type and season, enabling proactive material planning and budget alignment while ensuring traceability for inspections.
- Woodchip surface layer
- Polytrack base layer
- Turf grass sward
- Rainfall gauge
Build
Data pipelines for surface monitoring
During build, sensors and loggers capture substrate profiles, rainfall, and going stick baseline; software models calibrate thresholds for different surfaces and weather conditions. Installation includes voltage regulators, data loggers, surface probes, and a secure central server with encrypted access, plus test ramps to verify sensor integrity before live use.
- Woodchip surface layer
- Polytrack base layer
- Turf grass sward
- Harrowing implement
Operation
Real-time going readouts and predictions
Daily feeds from woodchip depth, turf moisture, rainfall, and harrow frequency drive surface going scores and recommended training intensity. Alerts trigger trainer actions, with automatic logging of session changes, divergence from baseline plans, and flagging of potential rider safety concerns.
- Woodchip surface layer
- Polytrack base layer
- Turf grass sward
- Going stick readings
Maintenance
Surface conditioning and calibration
Ongoing adjustments log substrate replenishment, harrowing cycles, and rainfall readings; AI recalibrates thresholds after repairs or weather events to maintain accuracy. Scheduled audits compare AI predictions to manual checks, and all adjustments are versioned for regulatory review.
- Harrowing implement
- Rainfall gauge
- Going stick readings
- Woodchip surface layer
Safety
Regulatory-ready surface records
AI maintains verifiable records of surface condition, maintenance, and going assessments aligned with stable inspections and medication control requirements. It exports compliant reports with timestamps for entries, declarations, and welfare notes to regulators and owners.
- Rainfall gauge
- Going stick readings
- Harrowing implement
- Turf grass sward
Part by part
- 1
Woodchip surface layer
- Watch for
- Depleted depth or uneven coverage that alters footfall and impact.
- AI action
- Detect depth variance, trigger replenishment scheduling and surface compaction checks.
- 2
Polytrack base layer
- Watch for
- Sub-base settling or foam failure compromising shock absorption.
- AI action
- Flag integrity issues, prompt inspection and potential stabilisation work.
- 3
Turf grass sward
- Watch for
- Seasonal wear, thin grass, or bare patches affecting grip.
- AI action
- Recommend maintenance window and reseeding or overseeding plan.
- 4
Rainfall gauge
- Watch for
- Unseasonal rainfall or rapid changes affecting moisture.
- AI action
- Adjust surface moisture models and plan delayed or intensified training.
- 5
Going stick readings
- Watch for
- Inconsistent kick or surface hardness readings across sections.
- AI action
- Flag sections for harrow or water management and adjust pace plans.
- 6
Harrowing machine
- Watch for
- Wear on tines or uneven harrow passes causing surface inconsistency.
- AI action
- Schedule maintenance, recalibrate harrow passes, and record timing.
Worked example
Gallops maintenance cue before a raceweek
Illustrative scenario with sample data.
A midweek session requires stable going with predictable surface response for a five-furlong sprint workout.
Signal in
surfaceType: woodchip; depthCm: 6; turfMoisture: 18%; rainfallMM: 4; goingStick: hardness=7; harrowRounds: 3; windSpeed: 12 km/h; temperatureC: 14
System out
AI alert: surface going 7.0, stable; recommended training plan: light gallop 6f, monitor for 20 mins; maintenance task: replenish woodchip 2cm, log harrow pass; note: verify grass recovery zone.
Human sign-off: Licensed trainer approves the plan and authorizes the 6f session, with yard vet on standby for welfare checks and a regulatory record filed for race week.
How to roll it out
Phase 1
Weeks 1 to 4: Baseline
Install sensors, establish baseline readings, and validate AI going predictions against manual checks.
Phase 2
Weeks 5 to 8: Calibration
Tune thresholds, associate rainfall events with moisture changes, and align with stable inspection requirements.
Phase 3
Weeks 9 onward: Operational
Run real-time going predictions, feed decisions into training plans, and generate regulatory-ready records.
Where people stay in charge
- All going decisions affecting race entries or training plans must be signed off by the licensed trainer.
- Surface data and predictions cannot supersede official stable inspection outcomes; human verification is required for major surface changes.
- Welfare decisions linked to training intensity must be reviewed by the yard veterinarian and documented in the medication and welfare log and signed by the yard manager.
Questions owners and crews ask
How does AI predict going for different substrates like woodchip vs turf?
AI uses substrate thickness, moisture, and hardness readings combined with recent weather to forecast going scores and recommend appropriate training blocks.
What data feeds are essential for going prediction?
Core feeds include woodchip depth, surface moisture, rainfall, going stick readings, and harrow cycles; supplementary data from recent race entries can refine plans.
Who validates going predictions before raceweek entries?
The licensed trainer and yard veterinary surgeon jointly review predictions, with regulatory-compliant records archived for inspections.
How are warnings escalated if going worsens during a session?
AI flags deterioration, triggers a welfare alert, recommends surface maintenance, and the trainer adjusts the session under veterinary guidance.