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ASIA ELECTRONICS INDUSTRYYOUR WINDOW TO SMART MANUFACTURING

Gecko Robotics Pitches AI-Driven Solution for Predictive Maintenance

Gecko Robotics has launched Cantilever™, an artificial intelligence (AI)-powered solution that enables unparalleled analysis and decision-making about asset health. Mainly, the first-of-its-kind solution integrates data from Gecko’s various robotic, fixed-sensor, and partner systems into a software platform. Specifically, Cantilever brings together data layers that were not previously possible. As a result, it drives important decisions for customers that increase uptime, decrease costs, and eliminate safety issues.

Cantilever is Gecko Robotics’ AI-driven solution integrating robotic inspections, data analytics, and user tools to optimize decision-making in asset health and management.

“Cantilever is designed to become the primary operating system for the physical world,” said Jake Loosararian, CEO and Co-Founder of Gecko Robotics. “Every day, at hundreds of customer sites around the world, our robots are keeping power plants online, military assets ready, and factory doors open. That’s only possible because our robots and fixed sensor networks are collecting data at a quantity and quality that’s never been seen before. Cantilever begins with that unique data and combines it with the customer’s own data. Then, it creates the first end-to-end solution, transforming decision-making in the built world.”

Better Data Drives Better Outcomes

In the 21st century, most industries have been fundamentally changed by advances in robotics and smart sensor technology. However, the way asset health data on critical infrastructure is gathered has not changed in 50 years. To date, it is still primarily carried out in dangerous environments by hand. That leads to incorrect, incomplete, and insufficient data. Even the most sophisticated AI algorithms are not able to produce accurate results with insufficient data.

From Out-of-the-Box to Outcomes

The capabilities and applications of Cantilever address that problem for customers almost immediately. The Cantilever process begins with first principles. A combination of robots, drones, and fixed sensors collect data, which is combined with historical health records, design files, operational data, and other business metrics to create Cantilever data layers.

Then, those layers are processed through Cantilever’s AI-powered analysis platform, Data Systems, to determine key insights, like corrosion rate or remaining life. Subsequently, those analyses are imported into Cantilever’s software modules. Thus, it empowers customers to make targeted repairs, prioritize capital investments, and shift from reactive to predictive maintenance.

Mainly, Cantilever is helping customers in the defense, manufacturing, and energy sectors solve some of their hardest problems. The U.S. Navy, an early adopter of Cantilever, uses it to combat the largest issue they face, ship availability. Commanding officers and maintenance teams generate and then act on repair plans in minutes – a process that previously took weeks or months to complete. Also, other industries are using Cantilever to optimize capital spending. It extends the life of key assets and helps prioritize maintenance spending to reduce costs, increase uptime and improve safety.