CEO: Why Visual Intelligence Is the Next Big Shift in Construction Technology

CEO: Why Visual Intelligence Is the Next Big Shift in Construction Technology

ENR - Engineering News-Record 6 min read Article

Summary

Jeevan Kalanithi, CEO of OpenSpace, discusses the importance of visual intelligence in construction technology, emphasizing its role in enhancing clarity and decision-making on job sites.

Why It Matters

As construction projects grow increasingly complex, traditional data management methods struggle to keep pace. Visual intelligence leverages AI to provide real-time insights, bridging the gap between perceived and actual job site conditions, thus reducing risks and improving efficiency.

Key Takeaways

  • Visual intelligence transforms raw imagery into actionable insights for construction teams.
  • AI-driven systems can track progress and identify issues earlier, reducing costs.
  • A human-in-the-loop approach ensures accuracy while leveraging AI's capabilities.

IdeasViewpoint Technology First Read CEO: Why Visual Intelligence Is the Next Big Shift in Construction Technology For AI to help on jobsites, it must understand visual context By Jeevan Kalanithi Image courtesy Open Space A split view in Open Space Air's platform can show a site scan with or without utilities marked. February 12, 2026 Kalanithi Construction has never lacked data. What it has lacked is clarity. Today’s jobsites generate enormous volumes of information — drawings, schedules, RFIs, reports — but much of what truly matters still lives in the physical world: what was actually installed, where work stands right now, and how jobsite conditions are changing day by day. As projects grow more complex and labor becomes harder to find, the gap between what teams think is happening and what’s actually happening on-site has become one of the industry’s biggest sources of risk. That gap is why visual intelligence is emerging as the next major shift in construction technology. Visual intelligence represents a move beyond traditional reality capture. For years, photos, videos, and 360° imagery have helped teams document their job sites. But documentation alone doesn’t scale, and it doesn’t solve the real problem. The next step is systems that can automatically organize, understand, and act on visual data, turning raw imagery into usable intelligence that fits naturally into how builders work. RELATED AI in Construction Momentum Will Only Continue to Grow At its core, visu...

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