Beyond BIM: How Track3D’s AI Is Reprogramming Job-Site Reality

In this episode of AEC Trailblazers, Valentin Noves sits down with Chaitanya N K—widely known as NK, Co-Founder and CEO of Track3D—to explore how AI, robotics, and reality capture are reshaping construction from the ground up.

NK’s journey into construction technology didn’t start on a job site. It began at the intersection of robotics, computer vision, and virtual environments, where he worked on systems that translated real-world behavior into digital simulations.

That early experience shaped a core belief that still guides his work today: if you can accurately scan reality and translate it into a virtual world, you unlock entirely new ways to understand, measure, and improve complex systems.

Throughout the conversation, NK challenges a common misconception in the AEC industry—that construction is slow to adopt technology.

Based on his experience working with large contractors, the problem isn’t resistance or lack of effort. Many firms have already experimented with hundreds of tools, from advanced robotics to augmented reality.

The real issue, he argues, is that most technologies fail to scale because they are not simple, fast, accurate, or cost-effective enough to be deployed across thousands of projects.

This insight became a foundational design principle for Track3D. Rather than building technology for showcase projects or logos on a website, NK focused on scalability.

His goal was to create systems that work just as well for repetitive residential renovations as they do for large-scale infrastructure—independent of geography, project size, or organizational complexity. If the value is clear and the friction is low, adoption follows naturally.

The episode also dives into how visual data—captured from drones, smartphones, 360° cameras, and LiDAR—can be transformed into actionable intelligence.

Instead of relying on manual reporting or fragmented tools, NK explains how AI-driven reality capture enables continuous, automated progress tracking and decision-ready insights. This shift moves construction monitoring from macro-level visibility to precise, scalable operational intelligence.

Looking ahead, NK shares his perspective on what’s next for the industry. While AI software is already changing workflows, he believes the next major leap will come from autonomous robots operating directly on job sites.

As sensing, mobility, and intelligence converge, robotics will play a central role in closing the gap between the physical and digital worlds of construction.

This episode is a deep dive into scalability, reality intelligence, and why the future of construction will be shaped by technologies that work everywhere—not just where it’s easiest.