Siddhant Mehta’s Constructing Tomorrow podcast spotlighted OpenSpace in an episode that makes a compelling case for why AI agents need rich, structured jobsite data to deliver real value. OpenSpace CEO Jeevan Kalanithis joined the show to discuss the company’s trajectory from early startup to a platform with over 65 billion square feet of captured jobsite imagery, and where AI in construction is heading next.
The construction industry is generating more data than ever, but most of it goes uncaptured or sits in silos too fragmented for AI to act on. OpenSpace exists to change that. With over 65 billion square feet of documented jobsite imagery, OpenSpace has built one of the largest repositories of structured construction data in the world. That scale is what makes AI agents genuinely useful on a jobsite: without a consistent, complete visual record of what is actually being built, AI has nothing meaningful to reason over. The episode covers how OpenSpace established its early lead in reality capture, why data capture gaps remain one of the biggest unsolved problems in construction, and how the company thinks about building versus buying versus partnering as the AI landscape evolves.
As AI agents move from prototype to production across industries, construction has a unique challenge: the physical world changes constantly, and the data used to train and run these agents must keep pace. OpenSpace’s platform captures that physical reality continuously, creating the kind of living, structured data layer that makes AI agents genuinely productive on the jobsite. The episode also explores what happens when contractors are fully invested in a platform, the role robotics will play in how site data gets collected, and what it takes to scale a construction technology company from the ground up. For teams looking to put AI to work on their projects, this is a good place to start.
By: Siddhant Mehta
