Youtiligent employs electric pattern monitoring technology to analyze the behavior of unconnected devices, converting raw data into actionable business insights. This enables organizations to identify operational inefficiencies and optimize processes without requiring direct device connectivity.
Funding
$3.2M 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
Food retailers and manufacturers often lack real-time visibility into the performance and health of their refrigeration equipment, leading to unexpected breakdowns, inventory loss, and increased energy consumption. Traditional monitoring systems rely on lagging indicators, failing to provide early warnings of potential issues before they escalate into critical failures. This reactive approach results in higher maintenance costs, reduced operational efficiency, and potential disruptions to the cold chain.
Solution
Youtiligent offers an AIoT (Artificial Intelligence of Things) solution that provides real-time, predictive insights into the health and performance of refrigeration equipment. By analyzing electrical consumption patterns, the system detects subtle anomalies that indicate potential failures or inefficiencies. This allows businesses to proactively address issues before they lead to equipment downtime, inventory spoilage, or increased energy waste. The plug-and-play solution seamlessly connects to any refrigeration unit, regardless of model or age, and translates electrical signals into actionable data. Through machine learning algorithms, Youtiligent provides predictive health insights, enabling businesses to optimize performance, minimize downtime, and ensure sales continuity.
Target Audience
Youtiligent primarily targets food retailers, manufacturers, vendors, and service providers who rely on refrigeration equipment and seek to optimize performance, reduce costs, and prevent equipment failures.
Features
- Real-time monitoring of refrigeration equipment performance through electrical signal analysis
- AI-powered predictive analytics to identify potential failures and inefficiencies
- Plug-and-play installation, compatible with any refrigeration unit regardless of manufacturer or age
- Non-intrusive design, requiring no technicians or retrofitting of existing appliances
- Remote monitoring capabilities, enabling flexible management of equipment and supply chains
- Integration with SAP systems via the SAP App Center for seamless data sharing and analysis
- Customizable KPI and cost analytics dashboard for tracking performance, efficiency, and reliability
- Alerts and notifications for proactive maintenance and repair
- Identification of minor inefficiencies to reduce energy waste and improve long-term electrical consumption