back to indexDisrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner

Chapters
0:0 Introduction
0:42 The most exciting industry in the world
3:14 Data discrepancies
4:30 Conclusion
00:00:00.000 |
Welcome everybody to this little afternoon session of mine. I'll keep it very short but 00:00:17.680 |
this is going to be the most exciting presentation of the day because I'm 00:00:20.240 |
talking to you about construction. Thank you. We are Trunk Tools. Trunk Tools is 00:00:26.520 |
the leading general AI provider for the construction industry which probably none 00:00:31.500 |
of you have ever thought about it but you are consuming construction every 00:00:33.960 |
single day. You're sitting in it right now, you're driving in it on your day home, 00:00:37.740 |
on your right home and it is the most exciting industry in the world. I'm going 00:00:43.760 |
to level set the stage here a little bit. This is a building that is being built in 00:00:47.440 |
New York City right now and it's using our software. We asked this building to give 00:00:51.120 |
us access to all the documentation, okay? Raise your hand if you think they give 00:00:54.920 |
us access to more than a thousand pages. Come on, don't be shy. This is not an 00:00:58.600 |
engineering conference. Keep your hand up if you think there's more than 10,000 00:01:01.940 |
pages of documentation, 100,000 pages of documentation, a million pages of 00:01:06.140 |
documentation to build a single skyscraper. They gave us access to a total of 3.6 00:01:12.740 |
million pages of contract, okay? 3.6 million pages of pictures and blueprints and 00:01:19.820 |
schedules and RFIs and all of this stuff. If you were to print that, a stack of paper, three 00:01:25.500 |
times as high as the building itself. That's why I'm super excited about this industry and 00:01:31.840 |
that's why this industry is literally built for RAC. That's why they put me up on this 00:01:35.600 |
RAC stage here. Why do we have such a problem in construction doing this? There's massive amounts 00:01:40.840 |
of people making decisions every single day and they're documenting the heck out of this 00:01:44.600 |
because it's one of the most litigious industries that you will ever see. Similar to software 00:01:49.880 |
development, right? Like, I have a PhD in AI and construction, so I kind of know what I'm 00:01:53.420 |
talking about, but I'm not an expert. That's why we have better people on my team. But similar 00:01:57.420 |
to software development, right? You have lots of people writing code, but once you merge it together, 00:02:01.460 |
it actually breaks and you have bugs. In construction, that happens once you are in the field and you're 00:02:06.640 |
trying to pour the concrete or you're trying to squeeze a pipe into a hole and it just doesn't fit. 00:02:10.840 |
construction is $15 trillion a year. Trillion with a T. 10% of it is rework. 10% is because there's data 00:02:19.380 |
discrepancies in this pile of data that the people don't know about it. $1.5 trillion US dollars every 00:02:25.060 |
single year. And that's what we are solving. We are putting all of this knowledge in one place, 00:02:30.340 |
which is what we call the brain behind construction, obviously a RAC product that goes in, perfectly 00:02:35.840 |
digest and memorizes all of these construction specific file types. Yes, we built RAC specifically 00:02:41.840 |
for a vertical. This vertical, however, is 10% of GDP. Once we have built this, we are deploying 00:02:48.260 |
on top of this brain an army of AI-based agents. Agents are more or less intelligent and we can 00:02:54.960 |
dive into this if you come to our booth a little bit later. I show you one of these agents live 00:02:59.220 |
in practice in the field. This is a traditional copilot. You have all seen this a million times. 00:03:04.160 |
You ask a question about your 3.6 million pages of construction data. Within a few seconds you 00:03:09.100 |
get an answer and you obviously also want to source the original file document. Used on billions 00:03:15.460 |
of the construction volume right now, I'm showing you an example from an actual construction site. 00:03:21.220 |
Yes, a very important question on a construction site. The way this works for us, you throw this 00:03:31.600 |
question against the system via text message or via web app. Within a few seconds we give 00:03:35.720 |
you the enterprise search results and obviously we also give you a semantic answer to your actual 00:03:40.320 |
question. Interestingly enough for anybody who actually wants to read what's up there, there's 00:03:45.380 |
discrepancies in the answer. The answer itself shows that in the 3.6 million pages of documentation, 00:03:50.840 |
actually somebody made a mistake and that mistake is going to be very very expensive. 00:03:55.520 |
To give you a sense of the unstructured mess of data we are dealing with in construction, 00:04:00.140 |
let me open one of these files. Beautiful. That's how we structure documentation in construction. 00:04:07.320 |
Three feet wide tables with a ton of numbers, unusable for any human. That's why we're throwing 00:04:12.540 |
AI against it. Obviously I was talking about data discrepancies. Instead of stopping where 00:04:17.480 |
we have the data discrepancies, why don't you use an agent that is just actually creating 00:04:21.600 |
an RFI and solving the discrepancy for the human so that the human can go back doing their job 00:04:27.380 |
and not being a victim of bureaucracy. I'm on a RAC stage but personally I believe that RAC is 00:04:33.000 |
completely commoditized. So what am I doing here? I'm here to tell you for whoever is building 00:04:38.860 |
RAC that the future of RAC is actually keeping the human in the center and augmenting the human 00:04:44.520 |
with an army of agents that is solving real life problems. Because if you actually want 00:04:50.040 |
to have an impact in the real life then in my opinion vertical agents solving real world problems 00:04:55.880 |
are the future. If you're interested in joining us on that path and being in the sexiest industry 00:05:01.120 |
in the world, come join us at our booth in the expo hall. We're called Trunk Tools. Here's the QR code. 00:05:06.360 |
We are hiring left and right and we're very excited to be dominating one of the most impactful industries