Axino provides an automatic temperature monitoring solution that measures the core temperature of food products in real time without manual probing, ensuring product integrity and reducing food waste. This technology enables businesses to maintain quality standards, minimize energy consumption, and streamline compliance with food safety regulations.
Funding
$2.9M 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
Maintaining consistent core temperatures in food products throughout the supply chain is challenging, often requiring manual probing that can damage products and increase labor costs. Inconsistent temperature monitoring can lead to food waste, regulatory compliance issues, and potential risks to consumer safety.
Solution
Axino provides an automated, non-invasive core temperature monitoring solution that leverages machine learning and AI to ensure product integrity and reduce food waste. The system uses sensors placed in coolers and storage areas to continuously measure the core temperature of food products without manual probing. Axino's patented technology calculates product-specific core temperatures in real-time, providing businesses with accurate data to make informed decisions. The solution helps businesses maintain quality standards, minimize energy consumption by optimizing cooling device settings, streamline compliance with food safety regulations, and reduce the workload of employees by automating temperature checks. Axino's system also provides alerts for temperature deviations, enabling timely corrective actions to prevent spoilage and ensure product safety.
Target Audience
Axino's primary customers include food retailers, food service providers, food producers, healthcare facilities, logistics companies, and original equipment manufacturers (OEMs) seeking to improve food safety, reduce waste, and optimize operational efficiency.
Features
- Non-invasive core temperature monitoring using machine learning and AI algorithms
- Real-time temperature data collection and analysis, with measurements taken every 5 minutes
- Wireless sensors with automatic re-calibration and up to 10 years of battery life
- Integration with existing handheld scanners and cooling systems
- Customizable alerts for temperature deviations, enabling proactive intervention
- Cloud-based platform for data visualization, reporting, and analysis
- HACCP compliance tools, including digital checklists and task management
- IoT network (LoRaWAN) for reliable data transmission with minimal infrastructure