The a16z Show

a16z Podcast: Construction Under Tech -- The Build

9 snips
Jun 14, 2018
Martin Fischer, a Stanford civil engineering professor, Saurabh Ladha, CEO of Doxel, and Christopher Rippingham from DPR Construction explore how technology is reshaping the historically rigid construction industry. They discuss the vital feedback loops created by AI for real-time monitoring, the importance of targeted data delivery to navigate chaotic job sites, and the shift towards data-driven decision-making. They also highlight the role of automation in enhancing planning efficiency and building trust among project stakeholders through improved communication and transparency.
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ANECDOTE

Robots Scanning Progress Daily

  • Doxel uses autonomous robots plus deep learning to scan sites daily and extract progress and quality metrics.
  • Christopher Rippingham describes dashboards that map dollars installed vs. payments and update schedules.
INSIGHT

Use Object-Level Historical Data

  • Historical, hypergranular productivity data lets firms correct optimistic subcontractor schedules and improve estimating.
  • Saurabh Ladha and Christopher Rippingham emphasize object-level data over coarse project-level claims.
ADVICE

Combine Vision And LiDAR For MEPF

  • Combine vision with LiDAR to locate installed elements within millimeter accuracy; accept limits for hidden work like wire pulls.
  • Christopher Rippingham advises focusing on MEPF where most multi-trade coordination issues occur.
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