◈ Partnerships open · Reach out to collaborate

We catch sick pigs
2.8 days before
anyone else can.

Individual-level disease detection using passive RFID ear tags and IR sensors at feeders. 10 health parameters per pig. No wearables, no cameras, no disruption. The first system of its kind.

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Swine partnerships open. We're actively seeking hardware partners, sensor manufacturers, RFID integrators, swine producers, and research collaborators to bring this technology to commercial barns.
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What the farmer sees
Plain English. Zero jargon.
Barn 4 — Morning Briefing
234 healthy · Monday, Apr 14 · 236 pigs monitored
Pig #A-0047 · Pen 4A · needs attention
34
Critical — vet review
"She's barely eating — down from 12 meals a day to 4. Her whole routine has shifted — eating later, eating less, keeping to herself. This pattern is consistent with early PRRS, where appetite drops 2–4 days before visible symptoms. Recommend isolating and having the vet draw blood for PCR."
Pig #B-0891 · Pen 4A
Warning — monitoring
58
Pig #C-1102 · Pen 4B
Likely pen adjustment
62
Detection engine

8-layer proprietary detection engine.

Layers 1–2

Instant anomaly detection

Catches obvious deviations in real-time. Matches temporal patterns against known disease signatures so different diseases trigger different alerts.

Layers 3–4

Complex pattern recognition

Detects multivariate anomalies that simpler methods miss, then suppresses false positives from transient events like feed changes and pen transfers.

Layers 5–6

Sustained shift tracking

Catches the slow, multi-day declines that precede clinical symptoms. Distinguishes real disease from seasonal or environmental changes across the whole population.

Layers 7–8

Predictive intelligence

Learns from every confirmed detection to get more accurate over time. Predicts expected behavior and flags deviations before symptoms are visible.

Health parameters

10 parameters from 2 sensor types.

Passive RFID ear tags and IR sensors at feeders. No wearables. No cameras. No disruption to the animal's routine.

01
Body temperature
IR sensor
02
Individual ID
RFID
03
Activity level
Computed
04
Feeding frequency
Computed
05
Feeding duration
Computed
06
Drinking behavior
Computed
07
Circadian rhythm
Computed
08
Movement distribution
Computed
09
Inter-checkpoint timing
Computed
10
Composite health score
Weighted fusion
Disease signatures

$3.3 billion in preventable losses. Every year.

PRRS
$1.2B/year
80% increase from prior decade. L1C.5 variant dominated 50%+ of US detections in 2024. Hardest disease to predict — only 58.5% balanced accuracy in best published study.
● Signature built
PED
$400–900M/year
Case positivity rising — 12.6% in Jan 2026, highest since 2022 for adult/sow farms. Characteristic feeding-before-fever signature.
● Signature built
ASF
$141B cumulative (global)
Not yet in US herd. If it arrives, early detection is the only effective defense. InscaleBio's architecture is ready to deploy a signature immediately.
◦ In development
H5N1 Influenza
Emerging threat
First US pig detection October 2024. SHIC/NPB/AASV funded emergency research. Unknown economic ceiling. Early detection architecture already in place.
◈ Monitoring

Sources: Holtkamp 2024, Iowa State; NAHMS; SHIC/NPB/AASV; WOAH

By the numbers

The first system of its kind. Zero competitors.

2.8 days
Early detection floor
(Funk et al., USDA ARS 2024)
10
Health parameters
tracked per pig
$0.25
Per pig cost
(RFID ear tag)
0
Competitors in
individual-level pig health
Partnerships & early access

Interested in what we're building?
Let's talk.

We're actively seeking hardware partners, sensor manufacturers, RFID integrators, swine producers, and research collaborators. Every message reaches both founders directly.

Both founders will see your message. We'll respond within 24 hours.

Every pig has a story. We read it first.

The first individual-level pig health monitoring platform. Zero competitors. Coming to commercial barns.

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