How it works
AI that understands livestock health, explained plainly.
LivestockIQ uses a veterinary-curated health database to match symptom descriptions against known conditions. Here is how the assessment process works — in plain language, no technical background required.
The assessment process
01
You describe the symptoms
Type what you are observing in plain language — there is no special vocabulary required. The more detail you provide, the more precise the assessment.
02
We match against a curated database
LivestockIQ analyses your description against a database of conditions reviewed by veterinary experts. Each condition is tagged with clinical keywords, a plain-language explanation, and recommended first-response actions.
03
You receive a structured assessment
The top matching conditions are returned to you ranked by relevance. If multiple conditions share similar symptom profiles, all are listed so you have the full picture.
Species covered
Ten livestock species, with coverage expanding continually.
Our database currently covers the livestock species most commonly raised by smallholder and commercial farmers. We are adding more species and expanding the condition library on an ongoing basis.
- Cattle
- Poultry (chickens)
- Goats
- Sheep
- Pigs
- Horses
- Donkeys
- Rabbits
- Ducks
- Turkeys
Our principles
Built on veterinary expertise and transparency.
Veterinary-reviewed data
Every condition in our database is verified against current veterinary knowledge. We add new conditions and expand species coverage on an ongoing basis.
No jargon
Responses are written for farmers and vets alike. All technical terms are explained in plain language within the same response.
Works offline
LivestockIQ runs entirely in your browser — no external services, no data sent to a server. It works in the field, offline, just as well as online.
Transparent limitations
Every response includes a clear disclaimer. LivestockIQ is a decision-support tool, not a replacement for veterinary diagnosis.
"A faster first assessment leads to earlier intervention — and in livestock health, that gap is often the difference between recovery and loss."