Why it matters
Without AI support, misread signs, missing entries, or delayed scratchings can lead to tendon issues, skipped race declarations, or welfare concerns, risking penalties and owner confidence.
From design to safety
Design
AI designs pre-race inspection workflow
The AI reads trot-up results, palpation notes, and prior vet findings, then models risk with thresholds to suggest a consolidated pre-race status and required actions; it creates standardized templates for each horse and a yard-wide dashboard.
- Trot-up platform
- Palpation table
- Inspection records cabinet
- Scratchings board
Build
System integrates trot-ups with records
Data wiring connects trot-up sensors, palpation inputs, and vet findings to a central file, producing payer-agnostic summaries and audit-ready logs for each horse and enabling batch exports for regulatory checks.
- Trot-up platform
- Palpation table
- Inspection records cabinet
- Vet findings tablet
Operation
Real-time pre-race screening in yards
The AI ingests live trot-up measurements, palpation findings, and veterinary notes to deliver an instant status and recommended actions before declarations; it generates per-horse confidence scores and a stable-wide readiness index.
- Scratchings board
- Vet findings tablet
- Inspection records cabinet
- Hoof testers
Maintenance
Record integrity and calibration checks
Regular calibration of sensors, validation of palpation templates, and reconciliation of vet findings logs with historical records ensure accuracy, with automated discrepancy tickets sent to the yard vet and trainer.
- Inspection records cabinet
- Vet findings tablet
- Hoof testers
- Trot-up platform
Safety
Welfare-first pre-race decision support
The system flags urgent issues to the licensed trainer or yard vet for immediate inspection, with documented sign-off and clear withdrawal/movement instructions, plus a record of regulatory communications and owner notifications if required.
- Scratchings board
- Vet findings tablet
- Palpation table
- Trot-up platform
Part by part
- 1
Trot-up platform
- Watch for
- Wear in tread, uneven surface, or sensor misread during trot-ups.
- AI action
- AI detects discrepancies in gait metrics and flags potential concern before race entry.
- 2
Palpation table
- Watch for
- Inconsistent palpation notes, missing heat/swelling flags, or sensor drift.
- AI action
- AI consolidates manual notes with imaging data and signals risk level to the vet team.
- 3
Inspection records cabinet
- Watch for
- Missing or out-of-date vet sheets, vaccination and passport status.
- AI action
- AI verifies completeness and highlights records needing updates before declarations.
- 4
Scratchings board
- Watch for
- Untracked scratch requests or conflicting race decisions.
- AI action
- AI cross-checks entries with official declarations and flags conflicts to management.
- 5
Vet findings tablet
- Watch for
- Unread or inconsistent vet findings across horses and dates.
- AI action
- AI aggregates findings, suggests follow-up tests, and creates action items for the team.
- 6
Hoof testers
- Watch for
- Wear or calibration drift affecting sensitivity during checks.
- AI action
- AI validates readings against baseline and alerts for manual re-check.
Worked example
Pre-race Culmination: Trot-up and palpation concordance
Illustrative scenario with sample data.
A yard with 42 horses preparing for a Sunday fixture runs a combined AI review of trot-up outputs and palpation notes.
Signal in
horse_id: 7, trot_time: 13.2s, stride_variation: 0.08, palpation_heats: 2, vet_findings: none, records_up_to_date: yes, scratchings_status: clear, vaccination_status: current, passport_status: valid, recent_lameness_exam: none
System out
Alert: Horse 7 shows borderline gait variation; schedule vet recheck, log for vaccination passport check, confirm scratch status before declarations; generate a temporary movement clearance if vet confirms no adverse signs.
Human sign-off: Licensed trainer reviews the alert, approves a vet recheck, signs off on the race entry or withdrawal after review of findings, and documents the decision in the stable diary.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline data collection from trot-ups, palpation, and vet notes to establish normal ranges for the yard, with cross-checks against past race entries.
Phase 2
Weeks 3 to 6
Pilot AI risk scoring with live data, refine thresholds, and generate standard pre-race summaries plus auto-generated rider/owner notes.
Phase 3
Weeks 7 to 12
Full integration with declarations, records audits, and staff training on action protocols, with quarterly regulator-facing reports prepared automatically.
Where people stay in charge
- All decisions that affect race declarations must be signed off by the licensed trainer or yard veterinary surgeon; this preserves professional accountability and regulatory compliance.
- The system cannot authorize withdrawal or movement without veterinary sign-off and explicit trainer consent, ensuring welfare and safety.
- Critical alerts must be escalated to the yard manager within 15 minutes and require a documented hold or release decision by a qualified clinician.
Questions owners and crews ask
What data feeds does the AI use for pre-race checks?
The AI reads trot-up results, palpation notes, vet findings, inspection records, scratchings statuses, vaccination and passport records, and recent lameness exams to generate a unified pre-race risk score.
Who approves AI-generated pre-race recommendations?
The licensed trainer or yard veterinary surgeon reviews and signs off on any action, including withdrawal if necessary, with an entry log in the stable management system.
How is data privacy handled for owner records?
Access controls and audit logs ensure only authorized personnel view or edit sensitive vaccination, passport, animal health, and financial records, with regular policy reviews.
Can the system handle multi-horse declarations across stables?
Yes, it aggregates per-horse data into a stable-wide dashboard, with individual highlights, owner-specific notes, and exportable regulatory-ready reports.