We talk with OpenSpace CTO Michael Fleischman about turning job-site photos into spatial data that teams can actually act on, from 360 degree capture to progress tracking and AI agents. We dig into why construction software adoption is so hard, and what changes when your phone can be used to create higher-quality data and automation. 
• Michael’s path from philosophy and psychology to computational linguistics and AI 
• Meeting OpenSpace co-founders at MIT Media Lab and pivoting into construction 
• Reality capture as the foundation and why “agents need eyes” 
• Cameras vs LiDAR on phones and why photos solve most field needs 
• AI autolocation as indoor GPS without beacons 
• Lowering friction as the real key to construction tech adoption 
• Progress tracking against BIM models or 2D drawings and closing the loop with reality 
• Disperse acquisition and why construction-specific spatial understanding matters 
• Flagging potential issues with Spotlight and keeping humans in control 
• Letting customers build customized agents for safety, QA, and workflows