NeARabl's AI Technology Achieves Engineering-Grade Precision in Construction Imaging

NeARabl Inc., a New York-based computer vision AI company, has achieved a significant breakthrough in spatial accuracy for construction and engineering applications, reaching under 30mm reconstruction accuracy in building scans. This level of precision, developed through research funded by the National Science Foundation, Air Force Research Lab, and Homeland Security, rivals traditional laser scanners while using mobile devices instead of expensive hardware.

The technology originated from a research lab at The City College of New York, initially designed as an assistive navigation tool for people with low vision before evolving into a commercial solution for construction, architecture, and facility management. Chief Technology Officer Jin Chen, who rose from a college student to leadership role, explained that the platform transforms mobile devices into highly precise mapping tools that capture spaces within centimeters of accuracy, fundamentally reshaping project lifecycles from design to delivery.

This advancement addresses critical industry pain points by reducing costly rework, improving collaboration between architects, engineers, and trades, and accelerating timelines without sacrificing quality. The solution serves architects, construction teams, mechanical engineers, electricians, and plumbing professionals who need accurate building scans for strategic planning and infrastructure development. By integrating AI, augmented reality, and 3D capabilities, the technology minimizes human error and allows visualization of projects before construction begins.

The recent R&D breakthrough overcame fundamental limitations in mobile hardware sensors and cameras, which were never designed for engineering-grade measurement. Through proprietary methods developed by NeARabl's research team, the technology now exceeds the capabilities of traditional mobile-based capture tools while remaining accessible and scalable without expensive equipment. This innovation represents how artificial intelligence is actively transforming construction projects rather than remaining a futuristic concept, delivering practical solutions that empower users to work smarter and more effectively in the field.