Provides a sensor-based AI system for monitoring breeding processes in livestock. This technology improves reproductive efficiency and animal health by delivering real-time data and insights, enabling farmers to optimize breeding strategies and reduce costs.
Funding
$31.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods of assessing quality and viability in food processing and agriculture are often slow, destructive, and prone to human error. This can lead to significant waste, reduced efficiency, and potential contamination risks in industries such as poultry, nut processing, and seed breeding. The inability to non-invasively inspect the internal characteristics of these products limits the ability to optimize sorting and classification processes.
Solution
Orbem provides AI-powered imaging solutions that utilize accelerated Magnetic Resonance Imaging (MRI) to scan, classify, and sort a variety of objects, including eggs, nuts, seeds, and plants. Their technology, called Genus, combines MRI with deep learning algorithms to analyze internal characteristics without damaging the sample. This enables early detection of defects, determination of fertilization status, and other quality control measures. The system's AI algorithms can interpret incomplete data, allowing for faster scans compared to traditional MRI. The non-contact nature of the technology eliminates contamination risks and enhances biosecurity.
Target Audience
The primary target audience includes food processors in the poultry and nut industries, as well as companies in the seed breeding and agricultural sectors seeking to improve quality control and reduce waste.
Features
- Accelerated MRI technology for rapid scanning of objects.
- AI-powered image analysis for accurate classification and sorting.
- Non-destructive testing to preserve sample integrity.
- Contactless scanning to eliminate contamination risks.
- Versatile system adaptable to different object types with minimal software and hardware adjustments.
- Applications in poultry (in-ovo sexing, fertilization status detection), nut processing (defect detection), and seed breeding (viability assessment).
- Ability to process thousands of MRI volumes per hour.