Data entry bottleneck which requires additional hours outside the slaughterhouse. No easy mechanism for sharing data.
Dissimilarities in the assignment of the scores for the severity of lesions between multiple operators.
On average, less than 15% of all slaughtered animals are inspected to assess certain lesions and small slaughterhouses (as required by law) do not carry out any carcass assessment.
Swine Pleurisy Respiratory
represents a key check-point to assess the health status of livestock and the effectiveness of farming strategies to prevent or treat disease conditions.
Unheard of, near 100% automated sampling rate for the highest industry inspection standard.
Auto A.I. scoring engine with 90%+ objective accuracy. Human Double verification onsite or remote is optional.
Automated 100% data continuous collection flow of big data.
Mid-term and long term savings benefits across stakeholders. Large abattoirs break even in the first year with hardware investment.
Centralized real-time digital auto data recording scoring on site (with cloud storage remote option) Pay-Per-Unit pricing
Due to high costs and long times for data recording and analysis, traditional system does not allow mass screenings of all slaughtered animals and prevents complete control and understanding of the real situation in the farms.
ADAL guarantees massive and complete analysis of data by automated means and homogeneous inspection standards so as to ensure greater control to protect consumers.
Started in 2019
Italian and U.S. Patents
Got to market in 2023
Extend ADAL to other disease conditions in pigs and start studying other species
In annual EXTRA expenditures after 1 year*
(e.g. Carcass trimming, extra man hours, disposal costs etc). Or € 30,000 per year for 300k pigs.
Avg reduction for unnecessary weaning and
Fairer selling rates.
For post evaluation manual entry.
Plus better onsite/remote time management.
For monitoring and disease research.
Insights to improve animal welfare.
10% - 20%
increased revenues to be based on better carcass quality received, and savings from previous trimming and disposal expenditures.
Immense savings in effort to monitor and track epidemiological investigations and discover insights.
Savings in the millions per year on veterinary consignment inspections to the abattoir and to supply the farms with precision.
Better return on sales from healthier animals due to better practices from data based research. The insights also improve business management for a more sustainable production.
of current additional production resources and efforts due to animal health diseases
The Faculty of Veterinary Medicine at UniTE is an approved Centre of Excellence by the European Association of Establishments for Veterinary Education (EAEVE). UNITE works with Farm4Trade to certify that the technology developed is up to scientific and industrial standards and to guarantee the annotation of lesions and the scoring systems adopted on both organs and carcasses at the abattoir are compliant with the most recent advancements in veterinary medicine.
The Faculty is one of the most innovative Italian Universities in the field of Artificial Intelligence (AI).
AImageLab is the research lab of the Department of Engineering “ENZO FERRARI” and it is the main technological partner for the Farm4Trade’s R&D projects. They certify that the technology developed is up to scientific and industrial standards and compliant with the ethical requirements on the use of AI in the diagnostic field.