Whisker Labs is a company focused on electrical fire prevention through its flagship product, Ting. Ting is a smart plug-in sensor that monitors a home's entire electrical system for electrical fire hazards. It uses machine learning and artificial intelligence to analyze high-frequency signals and detect micro-arcing, loose connections, and faulty wiring or devices that could lead to electrical fires.
Ting takes 30 million measurements per second to identify anomalies and arcing signatures that indicate potential fire risks. If a hazard is detected, the homeowner receives notifications through the Ting app with guidance on addressing the issue. Ting can differentiate between normal arcing and hazardous situations, reducing false alarms.
The technology combines proprietary hardware, digital signal processing capabilities, and a growing signal library correlated with verified electrical fire hazards. Whisker Labs' data shows that Ting prevents approximately 80% of electrical fires across hundreds of thousands of monitored homes.
In addition to detecting internal electrical hazards within the home, Ting identifies utility-related fire hazards originating from the local electrical grid infrastructure, such as loose neutrals, high/low voltage issues, and failing transformers. This unique capability helps improve grid resilience and situational awareness for utilities.
Beyond fire prevention, Ting often identifies faulty home systems or appliances essential for safe living conditions, enabling proactive repairs or replacements before failures occur. The company is leveraging its growing dataset to develop AI/ML models for predicting home fire risk based on various factors.
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