Every second, a staggering 2.5 quintillion bytes of data are created, and artificial intelligence (AI) is evolving to process this information with unprecedented speed and precision. Across numerous industries, AI-powered and cyber-physical systems are moving out of science fiction and becoming reality as AI’s capabilities and accuracy continues to improve.
Oceanit is working to build the “industrial metaverse,” fusing AI, robotics, cloud and edge computing, physical systems and digital twins. The effort is revolutionizing industries as diverse as healthcare, manufacturing, infrastructure, aerospace, and space exploration. Oceanit’s cyber-physical systems “see,” think, and act with a level of precision that minimizes human error and maximizes efficiency. These systems are no longer mere tools for repetitive tasks but intelligent decision-makers capable of real-time judgment, leading to improved outcomes.
According to recent projections, AI integrations could boost global GDP by up to $15.7 trillion by 2030, driven by demand for precision, safety, and efficiency across various sectors. It’s no longer just about automation—it’s about systems outperforming humans in speed, accuracy, and judgement. Oceanit is at the forefront of this revolution, with innovations that combine AI-driven autonomous decision-making with robotics to perfect high-precision tasks and further fuel the industrial metaverse.
Surface Intelligence AI
One of Oceanit’s key innovations in the industrial metaverse is machine vision AI for surface intelligence. Seemingly mundane, this technology allows a computer to “see” objects’ surfaces, detecting minute details, scanning for irregularities or flaws in coatings and paints, and evaluating surface textures. Whether it’s detecting wear and tear on an airplane wing, identifying potholes in roads, spotting micro-cracks on a bridge truss, or controlling a robotic arm during surgery, this technology opens up possibilities that were previously unimaginable. Oceanit is using surface intelligence AI systems in areas such as energy and defense.
Applications Across Multiple Sectors
Oceanit’s surface intelligence AI is built upon an innovative platform technology RIVEAL (Rapid Inspection & Visual Evaluation), which was originally developed to enhance pipeline inspections. RIVEAL uses advanced multispectral analysis to “see” inside pipelines and tubulars, identifying coatings, corrosion, cracks, and debris deposition. By processing vast amounts of pipe surface data, RIVEAL quickly flags concerns, allowing engineers to focus on areas that need remediation. Oceanit’s software introduced new levels of precision, speed, and efficiency in pipe inspection, improving safety and maintenance protocols for critical energy infrastructure.
For the oil and gas industry, as well as the emerging hydrogen energy sector, keeping equipment in peak condition is essential to ensure safety and minimize disruptions. RIVEAL provides in-depth, actionable feedback, enabling the rapid evaluation of hundreds of miles of pipeline, which helps reduce maintenance costs, prevent accidents, and ensure reliable operations. Using virtual reality (VR) to visualize RIVEAL’s multispectral imaging, operators can even “fly” through pipelines in first person, making inspections more immersive than ever before.
Now RIVEAL is being applied to other cyber-physical systems that depend on precision maintenance and surface analysis, including public infrastructure such as bridges, roads, and tunnels.
Infrastructure systems are critical to public safety yet maintaining them has always been challenging. Traditional monitoring methods rely heavily on public reporting and human judgment, which often results in inconsistent maintenance, leading to inconvenient, costly, or even deadly failures. Surface intelligence AI has the potential to revolutionize current practices by detecting early-stage damage and guiding timely maintenance interventions. For example, it could evaluate bridge surfaces for cracks and corrosion, reporting exact locations and severity of damage before it becomes hazardous.
RIVEAL could also have transformative potential in fields such as healthcare and manufacturing. In healthcare, robotic systems equipped with this technology could analyze tissue conditions in real time, minimizing human error during procedures and enabling enhanced remote operations. In manufacturing, AI-driven systems could evaluate products for defects, guide quality adjustments, and reduce downtime while maintaining high production standards.
Oceanit’s surface intelligence AI helps address the challenge of inconsistency in maintenance, enhancing both accuracy and reliability. For industries where cleanliness and precision are paramount, such as aerospace and defense, this technology redefines surface preparation practices to ensure consistently high-quality results.
Defending the Nation with AI Precision
In the military, the stakes are even higher. From edge manufacturing to the industrial metaverse, the U.S. is racing to stay at the forefront of disruptive innovation. For military branches, especially the U.S. Air Force (USAF), equipment maintenance is critical to operational readiness, both at home and in forward-operating bases. Aircraft like the F-35 Lightning, F-15 Eagle, and F-16 Fighting Falcon must undergo frequent maintenance to ensure every component, surface, and system is clean, intact, and fully functional.
However, a recent Pentagon report revealed stark statistics: the mission-capable rate of the newest single-seat fleet, the F-35, stands at only 30 percent. And only 48 percent of the fleet is combat-ready outside of prescheduled maintenance. These figures underscore the urgent need for improvements in maintenance efficiency and effectiveness.
Machine tool with waterjet system
The starting point of any USAF maintenance cycle is surface preparation, where high-powered waterjet systems blast away dirt, corrosion, and paint. However, current waterjet systems follow preset movement patterns rather than adapting to the unique needs of each piece of equipment. The robotic arms clean surfaces uniformly, often missing intricate grooves or tougher corrosion. Maintenance teams must rely on the “eyeball test,” a quick visual assessment to determine if reassembly can proceed. This approach sacrifices thoroughness for speed, contributing to the F-35’s low mission-readiness rate.
Precision Cleaning Powered by AI
To address these maintenance challenges, Oceanit is bringing the industrial metaverse to the USAF by deploying surface intelligence AI to enhance existing waterjet cleaning technology. Instead of relying on generic cleaning patterns, this intelligent system scans every surface, groove, and corner of the equipment, analyzing the unique characteristics of each part to guide robotic cleaning arms with pinpoint precision.
By using RIVEAL to assess surface cleanliness and condition in real time, the system eliminates the need for subjective visual checks. The technology allows USAF maintenance teams to move beyond the “eyeball test,” achieving a level of surface preparation that results in faster maintenance, increased durability, and ultimately higher mission readiness for critical assets like the F-35.
While this iteration of RIVEAL is being tuned to meet USAF standards, its potential extends beyond military aviation. The precision offered by this technology is equally suited to commercial aviation, where maintenance is vital for both aesthetics and performance. Commercial aircraft operate in harsh conditions and often accumulate more flight hours than military aircraft, making maintenance just as critical.
By applying AI-driven decision-making to surface preparation, Oceanit is setting new standards for precision and efficiency. In industries where quality control and surface integrity are essential, RIVEAL has the potential to redefine maintenance practices, making them faster, smarter, and more reliable.
