Roads, bridges and buildings have a lot to say—if only we could hear them. A highway could signal the exact spots where its surface is wearing down. A sewer system might report early signs of structural stress. A construction site could confirm that every worker is properly equipped for safety.

This is the intelligence that BRYX, by KCI Technology, unlocks.

Built with the architecture, engineering and construction (AEC) industry in mind, BRYX’s modelas-a-service (MaaS) solution continuously monitors infrastructure health, detecting subtle signs of wear and tear long before they escalate into costly failures. AI-powered models process raw data from an integrated network of sensors, IoT devices and real-time infrastructure monitoring systems used in construction sites, transforming them into clear, actionable intelligence. These insights empower teams to make smarter decisions, optimize maintenance strategies and extend the lifespan of critical assets.

“We developed BRYX to bring next-gen solutions to AEC users. These professionals are now able to reshape the way that they approach their work while staying up to date with the latest advancements in technology that transform data and build intelligence,” says Jeanne Ruthloff, president of KCI Technology.

Take the asphalt defect detection model, for instance. Instead of relying on routine manual inspections or waiting for complaints, the model captures highresolution images of road surfaces using vehicle-mounted cameras. These images are analyzed by ML algorithms trained to recognize defects, from alligator cracking to patching and potholes. The model also categorizes the defect by severity, allowing clients to prioritize repairs before minor issues become costly failures.

That same intelligence is shaping the future of industrial flooring. The RoboFlat model uses clients’ existing LiDAR and precision sensors to measure floor flatness in real time. The captured data from these devices identifies and catches even the smallest deviations, allowing contractors to correct floors to exacting standards. The result? Seamless automation, fewer costly adjustments and distribution centers that run at peak efficiency without unexpected disruptions.

While RoboFlat works on the surface, another model takes its precision underground—because infrastructure failures often start where no one can see them. The sewer pipeline defect detection model acts like a trained inspector with a tireless eye, analyzing real-time or recorded footage of sewer systems. It’s been trained on thousands of pipeline videos, learning to spot everything from tiny cracks to full-scale obstructions caused by sediment buildup, corrosion or invasive tree roots. The model also maps their exact location and severity, allowing cities and engineers to intervene before minor issues spiral into massive sinkholes or burst pipes. This means fewer emergency excavations, lower repair costs and a smarter way to keep underground systems running without disruption.

The PPE detection model takes the guesswork out of safety compliance, making supervisors’ everyday work easier and more efficient. Using AI-powered image recognition, the model continuously analyzes video feeds from construction site cameras to detect whether workers are wearing essential protective gear—helmets, vests, gloves— flagging any violations in real time. When non-compliance is identified, instant alerts are sent to supervisors, allowing for swift corrective action before an accident occurs. By automating this crucial aspect of site safety, the model helps prevent injuries and ensures compliance without adding to a supervisor’s already demanding workload.

Ensuring a safe construction site goes beyond monitoring workers—it also means maintaining secure perimeters and keeping traffic under control. The same AI-driven intelligence extends to traffic control device detection, which identifies and verifies the correct placement of cones, drums and signs. Instance segmentation ensures jersey barriers and fencing are properly aligned without gaps. This automation helps site managers spot misalignments quickly, reducing risks for workers and the public while keeping traffic moving efficiently.

The impact of these various models is proven, with BRYX being selected as the winner of the ‘Best AI-based Solution for Construction’ award in the seventh annual AI Breakthrough Awards program conducted by AI Breakthrough.

In an industry where precision is everything, BRYX builds intelligence as the new foundation, seeing everything beyond the surface.