Magnefy provides an edge AI-powered, high-frequency magnetic sensing platform for real-time predictive maintenance of critical power assets like transformers and generators. This non-invasive IoT solution captures extensive low-noise data to accurately detect failures such as partial discharge weeks in advance. The service helps mission-critical facilities avoid outages, increase reliability, and maximize power efficiency at a lower operational cost than legacy systems.
Funding
$50K 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
Critical power assets like transformers, switchgear, and generators are prone to failures such as partial discharge and higher harmonics, leading to unexpected outages, reduced power efficiency, and costly disruptions. Traditional monitoring systems are often expensive, invasive, and provide limited real-time data, hindering proactive maintenance efforts.
Solution
Magnefy offers an edge AI-powered magnetic sensing platform for real-time predictive maintenance of critical power infrastructure. Their non-invasive IoT solution utilizes high-frequency magnetic sensors to capture detailed data from assets like transformers and generators. The system's edge AI algorithms analyze this data to detect early warning signs of potential failures, such as partial discharge and harmonic distortions, weeks or months in advance. By identifying these issues early, Magnefy enables facilities to proactively address problems, avoid costly downtime, improve power reliability, and maximize operational efficiency. The solution provides a cost-effective alternative to legacy systems, offering significantly more data at a fraction of the price.
Target Audience
Magnefy targets mission-critical facilities such as data centers, independent power producers (IPPs), utilities, and manufacturing plants that rely on reliable power infrastructure.
Features
- Non-invasive IoT sensor that captures high-frequency magnetic field data from critical power assets
- Edge AI algorithms for real-time analysis and detection of anomalies indicative of potential failures
- Early detection of issues like partial discharge and higher harmonics weeks or months in advance
- Predictive maintenance capabilities enabling proactive intervention and prevention of outages
- Cost-effective solution compared to traditional monitoring systems
- 250x more low-noise, high-frequency data compared to legacy systems