AI + hardware for smarter poultry health
Built for the barn
See more.Know more.Keep flocks healthy.
nesteye combines cameras, sensors, edge AI, and barn-level intervention to measure the flock continuously and help teams act sooner.
Request a pilotThe purpose
Make poultry healthier, safer, and more profitable.
Commercial barns are still largely blind between checks. nesteye turns that missing time into useful, continuous context.
/01
Late piling detection
Periodic barn walks can find a dangerous cluster only after birds are already at risk.
/02
Biased weight samples
Hand catches and walk-over scales measure a small fraction of the flock and can distort the operating picture.
/03
Blind time between checks
Behavior and environmental changes can develop for hours before the next person enters the barn.
The product
One barn. One edge system. Four clear signals.
Piling, weight, barn conditions, and operator context come together without depending on constant cloud processing.
Explore the product/01 — Piling
Detect and disperse dangerous piling.
Overhead vision identifies developing clusters while adaptive light and sound can intervene inside the barn.
Confirmed event
Piling detected
The loop
From barn activity to operator action.
Time-sensitive work stays inside the barn. The dashboard gets the signal, not an endless stream of raw footage.
/01
Capture
Overhead IR cameras and environmental sensors maintain a continuous view of the barn.
/02
Classify
The edge box interprets behavior, weight, and barn signals locally in under 500ms.
/03
Intervene
Adaptive LED and audio patterns can disperse a confirmed pile without waiting for a barn walk.
/04
Dashboard
Lightweight status, trends, and alerts reach the operator while raw processing stays in the barn.
Validation + team
Built in the barn. Measured honestly.
nesteye is pilot-stage technology. Published figures below describe test results and secured commercial pilot activity—not general availability.
0.998
Piling-detection AP
Measured on held-out test data
IR
Camera prototype
Tested in real barn conditions
2
Commercial farms
Secured with a paid pilot LOI
Previous experience includes
Founder Experience
Built by a team with experience across AI, robotics, hardware, software, finance, sustainability, and poultry.
- Amazon
- The University of Texas at Austin
- MobilizeGreen
- UT Dallas
- Serent Capital
- Dell Technologies
- NVIDIA
- Visa
- Rice University
- Banner Health
- Texas Aerial Robotics
The team has also received guidance from agricultural engineering professors at Texas A&M University and Michigan State University.
Commercial pilots