For Racing Syndicates, Betting Startups, and Equestrian Apps. We build custom Computer Vision Engines that track stride frequency, jockey biomechanics, and race sectional times instantly—turning raw video into predictive intelligence.
In a sport decided by a nose, relying on manual observation or GPS trackers (which often fail indoors or in dense packs) is a liability.
GPS trackers get confused when horses are clustered. Our Vision-Based AI tracks individual saddle cloths and silks visually, ensuring accurate positioning even in a tight finish.
Speed tells you what happened. Stride analysis tells you why. We track Stride Length, Cadence, and Lead Changes to predict fatigue before it shows on the stopwatch.
Most analytics ignore the rider. We analyze Jockey Posture and Whip Usage to quantify the rider's impact on the horse's energy expenditure.
From the training track to the betting slip.
For tracks and broadcasters. We use fixed rail cameras to automatically capture split times (200m, 400m) for every runner, generating instant data for on-screen graphics.
Tracking 12 horses moving at 40mph is chaotic. We use "DeepSORT" algorithms to maintain individual IDs for each horse, even when they cross paths or are hidden by the rail.
We train custom classifiers to identify horses by their jockeys' silks and saddle numbers, ensuring 100% accurate identification without RFID chips.
We map 20+ keypoints on the horse (fetlock, knee, shoulder) to calculate stride mechanics. This allows us to measure "Stride Efficiency" and "Ground Contact Time."
For analyzing a whole race, we stitch multiple camera feeds into a single "Virtual Panorama," allowing coaches to see the entire field's tactical positioning at once.
Whether you are building a betting tool or a veterinary app, we have the engineering team to execute.
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
