The farm owner
Wants the herd healthy and the cost down.
AgroInsights · AgroHealthAI
We don’t sell at the farmer. We arm the vet.
LiveAgroHealthAI is clinical decision support built for the vet — so one farm visit a day becomes five-to-ten farms monitored in real time. The farmer gets earlier, better-informed care, through their own vet.
The farmer problem underneath
The vet arrives after the herd is already sick.
Visits are reactive and cost roughly £150–300, arriving once the problem is visible — when it’s already expensive. Sub-clinical signals build in animals no one had time to check. Late detection means higher cost, mortality, blanket broad-spectrum antibiotics and lost yield.
AgroHealthAI answers that by extending the vet’s reach and evidence — not replacing them. The vet sees the reasoning, not just the answer.
What the farmer gets
Earlier, cheaper, better-informed care — through their own vet.
Earlier action
The goal is lead time — catching sub-clinical signals before they present, so the vet can act before the herd is affected.
Targeted, not blanket
Antibiotics aimed where they’re needed — aligned to the UK 5-Year AMR National Action Plan and the EU 2030 reduction target.
Their own vet, better-equipped
From one farm visit a day to five-to-ten farms monitored in real time — the vet-capacity multiplier.
A record per animal
Auditable stewardship and provenance, anchored on the verified-provenance rail.
Who’s around the animal
One platform, three people it serves.
The owner or business partner
Wants the operation protected.
The vet
Wants reach, evidence, and to act before the herd is affected.
Designed for clinicians
Clinical depth, not chatbot depth.
Evidence chain, not a guess
Every output is grounded in a peer-reviewed knowledge base and shows its sources — Bayesian-calibrated confidence, ensemble-validated across model tiers.
13 species
A ranked differential across thirteen species, surfaced in under two seconds for the vet to weigh (response speed — not a guarantee of clinical correctness). The vet makes the diagnosis.
On the phone they already use
Delivered where the vet and farmer already work, in plain language, in EN / ES / PT.
The hardware roadmap
From decision support to continuous monitoring.
AgroHealthAI is extending into ISF biosensors — interstitial-fluid sensors that monitor animal health continuously, in the animal. The goal is lead time: catching sub-clinical signals before they present. Patent-pending; not yet commercially available.
Design targets, not measured results: sensor detachment under 3% over a 14-day wear cycle is a simulation target; the bovine ISF correlation sub-study (n ≥ 30) is the work built to establish the real lead-times. v1 commercial launch target Q3 2027.
Our research extends to a next-generation, reagentless extended-wear biosensing approach — patent-pending — for longer-lasting, lower-maintenance monitoring. We don’t over-specify the science before it’s proven.
See the ISF roadmap ›Vet-validated, research-backed
Built with the profession, for the profession.
Aidan Coe BVetMed(Hons) MRCVS, Director of Fram Farm Vets in Framlingham, is our veterinary adviser and lead vet, backing an 18-month field-validation study. We’re convening a Vet AI Advisory Council — seats are in formation and named members will be confirmed as they join.
A commercial contract with a major European veterinary group is in discussion — target Q4 2026. It is not yet signed, and we don’t present it as such.
See it support the diagnosis.
Request a sample differential on an anonymised case, or talk to us about clinical access for your practice. The vet makes the diagnosis — AgroHealthAI supports it.
Predict. Prevent. Grow.