Biofractal applies advanced AI and gene expression analysis to biological samples for precision animal health diagnostics. The platform quantifies genetic adaptation to environmental factors, providing actionable insights into animal wellbeing and nutritional status. This enables nutritionists and veterinarians to develop targeted health and precision nutrition programs for improved animal production efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Livestock producers lack sufficient information about subclinical health issues and nutritional constraints, hindering their ability to make precise decisions regarding animal nutrition and health. This lack of insight limits productivity and sustainability in animal protein production. Current methods often fail to identify hidden factors that limit the productivity and wellbeing of animals.
Solution
BIOFRACTAL employs gene expression technologies and artificial intelligence to identify subclinical health issues in livestock, such as nutrient deficiencies, gut health challenges, toxicities, and stress, using biological samples like blood and tissue. By quantifying how an animal's genes adapt to environmental changes, BIOFRACTAL provides animal producers with tailored nutritional recommendations to develop and improve precision nutrition and health programs. The platform diagnoses and predicts the health and nutrition status, stress levels, and other key physiological insights using proprietary databases and AI models, enabling proactive interventions. This approach allows for the detection and resolution of subclinical issues that limit the profitability and sustainability of animal production operations.
Target Audience
BIOFRACTAL's primary customers are animal producers, nutritionists, and veterinarians seeking to enhance the productivity and sustainability of animal protein production through precision nutrition and health programs.
Features
- Gene expression analysis from blood and tissue samples to quantify an animal's physiological response to its environment.
- AI-powered diagnostics to identify subclinical issues such as nutrient deficiencies, gut health challenges, toxicities, and stress.
- Proprietary databases and AI models for predicting health and nutrition status, stress levels, and other physiological insights.
- Tailored nutritional recommendations to improve precision nutrition and health programs.
- Quantification of the impact of nutritional solutions on animal health and performance.