Petasense provides a wireless vibration sensor and cloud-based machine learning analytics platform for real-time monitoring of industrial machinery. This technology enables businesses to predict equipment health, reducing unplanned downtime and lowering maintenance costs.
Funding
$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
Monitoring the condition of industrial machinery typically requires manual data collection, periodic inspections, and specialized expertise, leading to delayed detection of equipment faults and unexpected downtime. Traditional wired sensors can be costly to install and maintain, limiting their deployment on a wide range of assets.
Solution
Petasense provides a wireless vibration sensor and cloud-based machine learning analytics platform for real-time condition monitoring of industrial assets. The system enables predictive maintenance by continuously collecting and analyzing vibration data, identifying potential equipment failures before they occur. Wireless sensors are easily installed on critical machines, transmitting data securely to the cloud for processing and analysis. The cloud platform uses machine learning algorithms to detect anomalies, track failure modes, and provide real-time insights into asset health and performance, accessible through web and mobile applications.
Target Audience
The primary target audience includes maintenance managers, reliability engineers, and operations personnel in industries such as manufacturing, oil and gas, and power generation who are responsible for maintaining the uptime and performance of industrial equipment.
Features
- Wireless vibration sensors for continuous monitoring of rotating machinery and other industrial assets
- Cloud-based platform for data storage, processing, and machine learning analytics
- Real-time alerts and notifications for potential equipment failures
- Web and mobile applications for visualizing asset health and performance
- Integration with existing Historians and EAM (Enterprise Asset Management) systems
- Support for hundreds of sensor types beyond vibration, including temperature, ultrasound, pressure, and current via wired transmitters
- Digital twin creation for assets, tracking failure modes
- Enterprise-grade security for data transmission and storage