Our precision poultry farming technology aims to accurately estimate the weight of individual birds throughout the fattening cycle. This is achieved by analyzing many camera images using artificial intelligence. Our method reduces the human labor required for weighing by 90% while ensuring the welfare of the birds and enabling more accurate abattoir production planning.

Our solution provides reliable weight values for birds from the first day of introduction to the slaughter stage. It gives the flock's weight and standard deviation at any point in the fattening cycle and is developed for the genetics of the species or hybrid of poultry. All that is needed are cameras attached to the barn's roof structure and a reliable internet connection to transmit, securely store, and analyze the camera images using artificial intelligence models with an accuracy of 95-97%.

Poultry farmers can access up-to-date and reliable information on the weight of their flock in areas with poor network coverage through a simple web application on a smart device. Nearly 200,000 measurements are taken to estimate the weight of nearly half of the thousands of poultry in a fattening cycle, and the weight distribution of birds by weight category is plotted.

Birdwatcher can be successfully deployed regardless of the level of automation in the barn and the size of the farm. It provides reliable and secure cloud-based data storage and processing, with reporting via a straightforward web interface. It uses satellite technology to provide continuous IT support and development, giving accurate, reliable, and retrievable information without disrupting the poultry flock.
Thanks to satellite technology, Birdwatcher can be efficiently and effectively deployed and used anywhere in the world.
The founders are agricultural and IT professionals with more than ten years of practical experience.