Vibrome® biosignatures interpret the inaudible, imperceptible and invisible signals a body produces every day, and turn them into screening, triage, diagnostic support and recovery monitoring for high-value equine, camel and livestock assets.
Every recording answers one question: does this animal still sound like itself? how far has it moved from its own normal? is the recovery heading back to baseline?
Inside a champion, an invisible symphony is always playing. Gases, fluids and solids move in a pattern that fuels the power everyone can see. Health is coherence in that pattern.
Long before a cough, a bad gallop or an emergency call, the pattern shifts. Airway narrowing changes how air moves. A leaking valve changes how blood sounds. Heat strain changes rhythm and recovery. None of it is visible from the aisle, and almost none of it is captured by the systems a barn already runs.
Thoroughbred AI listens to that pattern, describes it in numbers, and tells you when this animal stops sounding like itself.
Stable software has solved the record. Nobody has solved the signal. The difference is not a feature — it is which day you find out.
Retrospective, and only as early as human attention.
Prospective, and independent of who is watching.
Thoroughbred AI is the inference layer. It does not compete with the systems you already run — it gives them risk states, triage queues, monitoring summaries and veterinary-ready evidence. API-first, hardware-agnostic, veterinarian in the loop.
A hardware-agnostic data layer that converts sound, vibration and context into animal health intelligence. Four stages, running on every recording.
Audio, vibration, motion, temperature and stable context flow into one signal record, tagged to the animal and the moment it was taken.
Models compress raw streams into species-aware biosignature fingerprints and build a personal baseline for that individual.
Each new recording is checked against the animal itself, its cohort, and the labeled condition library.
Outputs land where work happens: triage priority, diagnostic support for the vet, and a monitoring plan with a defined endpoint.
Probes, blankets and stethoscopes will keep improving, and anyone can buy them. What compounds is the library: novel vibrome data paired with outcomes and veterinary labels, growing every day the platform runs.
Every normal day is a control. Every anomaly teaches the model. Record, label, learn, predict, monitor.
Stop waiting for visible decline. Start managing deviation while action is still cheap and the animal is still working.
Thirty days of ordinary recordings establish what well sounds like for this individual, not for the species average.
The model flags drift from the animal's own normal, with the size and direction of the change, not a raw alarm.
Deviations are ranked, so the team knows which animal to look at first this morning and why.
After the vet acts, the same measurement tracks response, relapse risk and the return toward baseline.
Clinical signs, an emergency call and an expensive intervention arrive after the signal has already been changing for days. The bill and the lost days are both maximal.
Continuous biosignature monitoring flags the deviation, prioritizes the vet's attention and documents the return to baseline. The intervention is smaller and earlier.
The physics of a moving body does not change at the species boundary. The baselines, the cohorts and the condition libraries do.
Racing, sport and breeding programs where a respiratory or cardiac change costs a campaign. Earlier insight into airway, cardiac and recovery status, animal by animal.
Racing yards · sport horses · stud farms
Racing, dairy and desert operations where heat strain, respiratory load and recovery drive both welfare and value, often across large distributed strings.
Race strings · dairy · endurance
Dairy, beef and small ruminants where screening has to scale to hundreds of animals and triage matters more than individual diagnosis.
Dairy · beef · small ruminants
We start where three things line up: the signal changes measurably, the asset is valuable, and acting early changes the outcome. Select a module to see where it sits and what the validation pathway looks like.
Placement reflects commercial priority and expected signal separability at pilot stage. It is a roadmap, not a statement of validated diagnostic performance. Prevalence figures come from the published veterinary literature and describe the problem, not this platform.
This is a screening and monitoring layer built with veterinarians, not an autonomous diagnosis engine. Being precise about that is how the category earns trust.
| Output | What it is | Status |
|---|---|---|
| Deviation from baseline | A measured change in this animal's own biosignature over time. | Core function |
| Triage priority | A ranking of which animals warrant attention first, with the reason attached. | Core function |
| Signal family suggestion | Likely categories of change, surfaced for a veterinarian to confirm or reject. | Vet-confirmed |
| Condition-level detection | Module-by-module sensitivity and specificity against a veterinary reference standard. | In validation |
| Standalone diagnosis | A clinical conclusion without a veterinarian in the loop. | Not claimed |
| Regulatory clearance | Approval as a medical device in any jurisdiction. | Not claimed |
Acoustic AI is not a hypothesis in animal health. In commercial swine production, continuous cough-sound monitoring has been reported to surface respiratory disease up to five days ahead of conventional observation, and is deployed at farm scale today.
Thoroughbred AI applies that principle where the per-animal value is orders of magnitude higher, and where the accepted clinical instrument — the stethoscope — is already an acoustic one, just limited to what a human ear can hear in a two-minute exam.
Our pathway per module: retrospective signal library, prospective paired study against the veterinary reference standard, then published performance. Modules move from roadmap to product only when that evidence exists.
The platform is hardware-agnostic by design. These are the instruments built inside the Level 42 AI® group, and any of them can be swapped for equipment you already own.
Point-of-need infrasonic and ultrasonic capture with embedded AI. A stethoscope that records a full-spectrum signal rather than what fits the human hearing range.
A handheld probe shaped for large-animal work: multi-point capture over thorax and abdomen, consistent placement, one recording session per animal.
An instrumented blanket for continuous capture in the box and on the walker, for animals where a daily snapshot is not enough.
We do not replace the stable platform, the vet practice system or the racing authority's records. We enrich them, through one API.
Ninety days from first recording to an operational dashboard, with a defined deliverable at each stage. Data and inference as a service — no capital equipment program required to start.
Build the animal, string and herd normal map. Fix capture protocol and handler routine. Deliverable: a baseline report per animal.
Introduce triage thresholds, the veterinary review loop and label capture. Deliverable: a working triage queue with vet feedback recorded.
Monitoring reports, recovery curves and integration feeds into your systems. Deliverable: a decision on scope for the next season.
A compressed numerical description of the sound and vibration a body produces, encoded so that two recordings of the same animal can be compared meaningfully over time. It is not an audio file, and it is not a diagnosis. It is the measurement that makes change detectable.
No, and the design assumes the opposite. The platform decides where veterinary attention goes and documents what happened after it arrives. Every condition-level output is presented for veterinary confirmation, and those confirmations are what improve the model.
No. The platform is hardware-agnostic: it ingests from our instruments or from capture equipment you already run, provided the recording meets the signal specification. Most pilots start with a single handheld device per yard.
Deviation detection needs a personal baseline, which typically takes about thirty days of routine recording. Cohort-level screening produces useful ranking sooner, because the string provides its own comparison group from day one.
Deviation detection and triage work across the animal as a whole. Condition-specific modules — starting with equine respiratory and cardiac work — sit at different points on the validation pathway, and we state that status openly rather than describing every module as finished.
You own your animals' data. Pilot agreements set out what may be used in aggregate to improve models, on what terms, and how it is de-identified. Owners of high-value bloodstock get the strictest handling by default.
Thoroughbred AI is the quadruped program inside Level 42 AI®. The same biosignature science runs across the group.
Intelligence signal layer
Pets and working dogs
Equine, camels, livestock
Healthspans & longevity
Human TB screening
We are opening pilots with high-value barns, racing programs, camel operations and livestock enterprises where earlier insight changes outcomes and preserves asset value. Tell us about your operation and we will come back with a scoped ninety-day plan.
Tell us about your operation and what you would want to catch earlier. A member of the team replies personally, usually within two business days.
