FAQ: NeARabl's 3D Imaging and AI Technology for Construction and Engineering

What is NeARabl and what does the company do?

NeARabl is a New York-based computer vision AI company that transforms how construction and engineering professionals capture building data through 3D imaging and augmented reality technology.

Who is Jin Chen and what is her role at NeARabl?

Jin Chen is the Chief Technology Officer (CTO) at NeARabl Inc., leading the company’s research and development efforts and building an intuitive Infrastructure AI tool for visualizing design ideas and infrastructure data.

What level of spatial accuracy has NeARabl achieved with their technology?

NeARabl has achieved building scans with just under 30mm reconstruction accuracy, a level of precision that rivals laser scanners and far exceeds traditional mobile-based capture tools.

How did NeARabl’s technology originate and evolve?

The technology began as a mobile wayfinding and navigation tool for people with low vision during five years of research at CUNY, backed by NSF, Air Force Research Labs, Homeland Security, and Bentley Systems, then evolved into a commercial product for construction and engineering industries.

Why is this technology important for construction and engineering industries?

This AI technology is actively transforming how construction projects are planned, executed, and maintained by providing practical solutions that empower users to work smarter and more effectively in the field with precise spatial imaging and measurement.

What educational and professional background does Jin Chen bring to NeARabl?

Jin Chen studied mathematics and computer science at The City College of New York, gained hands-on experience through a software development internship at WebMD, and joined the research project that became NeARabl, rising from college student to CTO.

What organizations funded the development of NeARabl’s technology?

The technology was funded by the National Science Foundation, Air Force Research Lab, Homeland Security, and Bentley Systems Inc., supporting over five years of research and development.

How has the technology evolved from its original purpose?

It evolved from an assistive solution for people with low vision into a scalable commercial product for construction, architecture, and facility management with enhanced 3D visualization and improved spatial accuracy over the past year.