InscaleBio turns existing livestock health data into actionable intelligence. Species-agnostic detection algorithms. Veterinary AI that explains what's happening in plain English. No new hardware required.
InscaleBio's detection stack is species-agnostic by design. The same 8-layer anomaly detection, the same veterinary LLM, the same baseline system — configured per species through a single config table. We start with cattle and swine. The architecture handles any livestock species.
Math detects. AI explains. Humans decide. Every insight is traceable from raw data through statistical scoring to plain-English recommendation.
Each product is purpose-built for its species while sharing InscaleBio's core detection and intelligence infrastructure.
Pure-software AI that ingests existing feedlot data — treatment records, feed data, cattle movements — and delivers pen risk scores, treatment outcome analytics, and source intelligence. No new hardware.
Individual-level disease detection using RFID ear tags and IR sensors at feeders. 10 health parameters per pig. 2.8-day early detection before visual symptoms. The first system of its kind.
Four layers of anomaly detection. A veterinary LLM that explains findings in plain English. Individualized baselines for every animal or pen. All validated against peer-reviewed research.
Proprietary defense-in-depth engine. Each layer catches what the others miss. Together, they detect disease before visual symptoms appear.
Math detects. AI explains. Every risk score converts to a plain-English insight a feedlot manager or barn worker can act on at 5:30 AM.
Every animal or pen is compared to its own history — not herd averages. A naturally low-activity animal isn't flagged for being below average.
One engine, configured per species. Cattle and swine today. The architecture handles any livestock species through a single config layer.
Whether you run a feedlot or a swine operation, your data already holds patterns that could save you hundreds of thousands. Let's find them.