M3SEN develops AI-driven solutions for livestock management, utilizing its proprietary Deep3Net technology to collect and analyze real-time biometric data from sows, enhancing productivity in pig farming. The company addresses labor shortages and inefficiencies in the industry by automating breeding processes and providing precise management tools for farmers.
Funding
$6.3M 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
Pig farmers face challenges in maintaining high productivity due to labor shortages and a lack of real-time insights into sow health and behavior, particularly during critical periods like farrowing. Inefficient monitoring can lead to increased piglet mortality and reduced overall farm profitability.
Solution
M3sen provides AI-powered solutions for precision livestock management, leveraging its Deep3Net technology to deliver real-time biometric data and analysis for sows. Their integrated platform automates the monitoring of breeding processes, offering farmers precise tools to optimize management and improve productivity. By using camera-based monitoring and AI algorithms, M3sen's system detects key events such as labor, predicts farrowing times, and identifies potential issues like dystocia, enabling timely intervention and reducing piglet losses. The system provides alerts and data analysis through a web-based platform accessible on PCs and mobile devices, giving farm managers comprehensive insights into their operations.
Target Audience
The primary target audience includes pig farmers and farm managers seeking to improve sow productivity, reduce piglet mortality, and optimize labor efficiency through AI-driven insights and automation.
Features
- Real-time biometric data collection from sows using camera-based monitoring
- AI-powered labor detection, including total labor time, interval detection, and abnormal labor detection (dystocia)
- Prediction of farrowing times to optimize labor allocation
- Colostrum elapsed time detection to ensure piglets receive essential nutrients
- Sow standing/lying detection to monitor sow health and welfare
- Web-based platform accessible on PCs and mobile devices for real-time monitoring and data analysis
- Customizable alerts for critical events and equipment malfunctions
- Integration with farm management systems for seamless data sharing
- Waterproof and dustproof hardware design for reliable operation in farm environments