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Hi, and welcome to the A16Z podcast. I'm Hannah and in this episode we continue our series

on how tech is changing construction, looking at what happens when you go from the planning

phase to the building phase. The conversation includes Martin Fisher, Professor of Civil

and Environmental Engineering at Stanford, Sarab Luddha, CEO of Doxel, a company that uses artificial intelligence to measure progress

and inspect quality on construction projects in real time, and Christopher Rippingham,

who works on technology and innovation leadership for DPR construction.

We've talked a little bit about the lay of the land already in the construction industry,

some of the big challenges and new technology about the lay of the land already in the construction industry,

some of the big challenges and new technology around the flow of information.

But what happens when you get to moving into building the buildings,

when you get into execution on the ground and productivity and performance management?

One of the biggest challenges we face right off the bat is trying to take the rich datasets that are already inefficient from pre-construction and migrate that into something

that somebody on a construction job site can use or read or, you know, fabricate from.

And what kind of data sets do you mean by that?

Like the 3D models, building information models, that kind of information,

how do we make that information accessible into the field, all the way down to RFIs, you know, written information

to plans and specs, you know, from the architect and engineers. All that information is either

dumbed down usually or put in a format that is not quite as rich or usable or has the dynamic state

...