Curated News
By: NewsRamp Editorial Staff
August 20, 2025
NeARabl's AI Tech Revolutionizes Construction with 30mm Precision Scanning
TLDR
- NeARabl's AI technology provides construction professionals with laser-scanner precision using mobile devices, reducing rework costs and accelerating project timelines for competitive advantage.
- NeARabl's system uses proprietary algorithms to process 3D imaging data, achieving under 30mm spatial accuracy through advanced computer vision and augmented reality integration.
- This technology improves construction planning accuracy, reducing errors and waste while making infrastructure development safer and more efficient for communities.
- A college research project evolved into NeARabl's AI tool that turns smartphones into engineering-grade measurement devices with centimeter-level precision.
Impact - Why it Matters
This technology matters because it addresses critical inefficiencies in the $12 trillion global construction industry, where rework and measurement errors cost billions annually. By enabling smartphone-level devices to achieve laser scanner accuracy, NeARabl democratizes high-precision spatial mapping, making advanced technology accessible to smaller firms and reducing barriers to adoption. The impact extends beyond cost savings—it enhances safety by providing accurate pre-construction visualization, accelerates project timelines in an industry notorious for delays, and supports sustainable building practices through better planning. As infrastructure demands grow globally, tools like this become essential for meeting development challenges efficiently and accurately.
Summary
NeARabl Inc., a New York-based computer vision AI company, is revolutionizing construction and engineering industries through its groundbreaking 3D imaging and augmented reality technology. Under the leadership of Chief Technology Officer Jin Chen, who rose from a college student to CTO practically overnight, the company has developed Infrastructure AI tools that transform mobile devices into highly precise mapping instruments. The technology originated from a research lab at The City College of New York, initially designed as an assistive solution for people with low vision, but evolved into a powerful commercial product backed by significant funding from the National Science Foundation, Air Force Research Labs, Homeland Security, and Bentley Systems Inc.
The core innovation lies in NeARabl's ability to achieve remarkable spatial accuracy, recently reaching a breakthrough of just under 30mm reconstruction accuracy that rivals laser scanners and far exceeds traditional mobile-based capture tools. This precision enables architects, construction teams, mechanical engineers, and plumbing professionals to capture building data with unprecedented accuracy, reducing costly rework and improving collaboration across project teams. The technology serves a wide range of industries where indoor intelligence, visualization, and navigation are critical, requiring no expensive hardware and offering fast, scalable deployment.
Chen's journey from mathematics enthusiast to technology leader exemplifies the transformative potential of STEM education, with her work at NeARabl demonstrating how academic research can evolve into real-world commercial applications. The company's technology fundamentally reshapes the project lifecycle from design to delivery, turning what was once an academic lab project into a modern jobsite tool that empowers users to work smarter and more effectively in the field while minimizing the risk of costly mistakes in infrastructure development.
Source Statement
This curated news summary relied on content disributed by citybiz. Read the original source here, NeARabl's AI Tech Revolutionizes Construction with 30mm Precision Scanning
