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San Diego, CA

Scaling AI-enabled structural monitoring to enhance safety and reduce maintenance costs.

• Advanced technology: Uses AI and machine learning to monitor infrastructure via natural vibrations, ensuring high accuracy.
• 24/7 operation: Provides real-time monitoring in all weather conditions, reducing dependence on subjective visual inspections.
• Critical infrastructure focus: Addresses aging bridges and buildings, with significant economic and safety implications.
• Cost-effective solution: Early fault detection minimizes disruptions and reduces long-term maintenance expenses.
• Strong partnerships: Collaborating with the University of California, San Diego, and engaging in pilot programs to validate the technology.

Canetia Analytics provides a cutting-edge solution to infrastructure monitoring through its advanced AI-driven sensors and machine learning algorithms. By analyzing naturally occurring vibrations in structures, the system accurately evaluates the condition of bridges and buildings 24/7, regardless of weather or visibility. This revolutionary approach eliminates the subjectivity and risks associated with traditional visual inspections, offering a safer and more effective way to identify potential faults early and mitigate costly delays or failures. Currently in the pilot stage, Canetia is collaborating with the University of California, San Diego, to validate its technology, while seeking opportunities to expand its applications.

Funds raised will enable Canetia to scale its innovative monitoring system and address critical issues in infrastructure, such as aging bridges, the shortage of inspection experts, and fragmented data systems. The solution not only enhances safety but also offers significant cost savings by reducing maintenance needs and preventing major disruptions. With a focus on real-time structural insights, Canetia is poised to transform infrastructure management across sectors like transportation and utilities, providing a proactive and economical alternative to the traditional inspection regime.

Company Info

Canetia Analytics uses AI and sensor technology to provide continuous, real-time monitoring of the structural health of bridges and buildings, improving safety and reducing maintenance costs.

Canetia Analytics is transforming the way infrastructure is monitored by using advanced sensor technology and machine learning to assess the health of bridges and buildings. Their innovative system detects structural faults by analyzing natural vibrations, much like how a bell with a flaw sounds muffled. Unlike traditional visual inspections, which are subjective and prone to errors, Canetia’s system works continuously, 24/7, regardless of weather conditions, providing consistent, real-time monitoring. This approach allows for accurate, cost-effective monitoring of multiple structures simultaneously, ensuring that potential issues are identified before they escalate into costly repairs.

The company is in the pilot stage, collaborating with the University of California, San Diego, to validate its technology. The solution addresses several critical problems, including the aging infrastructure in the U.S., with over 17,000 bridges considered “fracture critical” and a growing shortage of trained inspectors. By reducing reliance on human error, improving inspection accuracy, and minimizing downtime due to maintenance, Canetia aims to save millions of dollars in repair and operational costs while enhancing safety. With its patented technology and proven accuracy, the company is positioning itself as a key player in the future of infrastructure monitoring and predictive maintenance.