8power develops wireless sensors for remote condition monitoring of industrial assets, providing real-time health data to prevent equipment failures. Their "Fit and Forget" sensors, with a ten-year lifespan, enable efficient predictive maintenance and reduce costly downtime across various industries, including utilities and manufacturing.
Funding
$7.2M 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
Many industrial facilities lack comprehensive, real-time visibility into the operational health of their critical rotating equipment, leading to unexpected failures, costly downtime, and inefficient maintenance practices. Traditional monitoring methods are often expensive, require manual data collection, and struggle to scale across geographically dispersed assets.
Solution
8power provides wireless sensors and machine learning analytics for remote condition monitoring of industrial assets, enabling predictive maintenance and reducing equipment failures. Their "Fit and Forget" sensors offer a long lifespan and continuously transmit asset health data, providing early warnings of potential problems. This allows operators to proactively address issues before they escalate, minimizing downtime and optimizing maintenance schedules. The solution delivers actionable insights through mobile, desktop, or secure API integration with existing platforms, offering a scalable and cost-effective way to monitor diverse asset types and sizes.
Target Audience
The primary target audience includes industrial facilities, utilities, manufacturing plants, and oil and gas companies seeking to improve asset reliability, reduce maintenance costs, and prevent equipment failures through remote condition monitoring.
Features
- Wireless sensors with a 10-year lifespan for long-term, maintenance-free operation
- Retrofittable design for easy installation on a wide range of asset types and sizes
- Real-time data collection and transmission for continuous monitoring
- Machine learning analytics to detect anomalies and predict potential failures
- Customizable alerts and notifications based on asset health status
- Secure API for integration with existing maintenance management systems and IoT platforms
- Mobile and desktop dashboards for visualizing asset health data and trends