bridge-inspection
(2)Aren
Aren is a New York-based AI company that helps owners of bridges, tunnels, and other large civil infrastructure figure out what is quietly falling apart before it becomes a headline. Its platform ingests source-agnostic data - smartphone photos, drone video, laser scans, infrared, and sensors - and turns it into 3D digital twins that detect and quantify damage, track deterioration over time, and produce maintenance and capital-allocation plans. Founded by structural engineer Ali Khaloo out of Cornell Tech, Aren pairs computer vision and deep learning with decades of structural mechanics to give asset owners a quantitative, repeatable way to decide where to spend limited repair dollars.
Ali Khaloo
Ali Khaloo is a structural engineer turned AI founder who builds software that reads the health of bridges, dams, runways and cooling towers the way a doctor reads an X-ray. As CEO and founder of Aren, the New York company he spun out of Cornell Tech's Runway Startup program, he fuses computer vision, machine learning and civil engineering into an AI-powered digital twin platform that turns drone images, laser scans and sensor data into 3D condition maps and predictive maintenance plans. He holds a PhD in structural engineering, has authored more than 20 peer-reviewed papers cited over 1,000 times, and owns several patents for AI analysis of large infrastructure systems.