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Welcome to Chuck Yates Got A Job with Chuck Yates. You've now found your dysfunctional life coach, the Investor Formerly known as Prominent Businessman Chuck Yates. What's not to learn from the self-proclaimed Galactic Viceroy, who was publicly canned from a prominent private equity firm, has had enough therapy to quote Brene Brown chapter and verse and spends most days embarrassing himself on Energy Finance Twitter as @Nimblephatty.
00;00;00;03 - 00;00;24;09
Unknown
All right, guys, well, we are back. Today I'm joined with our PhD team and Jacob and my unmuted laptop that is now muted. Mac users be like, hey, listen, new Mac users be on. What? What is this button? Do you still to figure it out? But we are back with, this will be our enterprise version of, of Spotify, our version of Spotify wrapped.
00;00;24;11 - 00;00;45;28
Unknown
And I'm here with our PhDs and Jacob, I wanted to just start us off by letting you guys introduce yourselves. Give give everybody some background on where you where you came from and how you got here and what you're working on at collide. Who wants to go first? My name is Michael Cortez. For a deployed engineer here at collide.
00;00;46;01 - 00;01;14;16
Unknown
Just started here, in September. My background is, completions. I started with, Halliburton. Spent five years with them. East Texas. Yeah, baby. Kilgore, Texas. Moved around quite a bit. Got picked up by, Petro Hawk and spent most of my completion days, with, BHP Billiton. And then the past four and a half years, I was with, korva.
00;01;14;16 - 00;01;36;18
Unknown
I, I was working in their dev center, product line there, and, and support team. That's awesome. You made a huge move across the parking lot. I did, yeah. Dramatically changed your commute. Just walked on over. And that would be a really fun. Yeah. You just, like walking across the street. It doesn't always happen that way.
00;01;36;18 - 00;01;59;17
Unknown
Yeah, yeah. You really lucked out, man. Yeah. I mean, I went from Chevron to here, which, you know, like me community from College Station, going from College Station to downtown Houston to City Center is that's a game changer. Yeah. Okay. Yeah. Yeah. So Nick smart, I'm one of the other, PhDs. I started back in May as a customer success manager.
00;01;59;20 - 00;02;23;23
Unknown
And being in a startup, roles are constantly changing and evolving. So recently, new additions to the FTE team, background in geophysics. Graduated from A&M back in 2018. Worked as a field geophysicist for a few years. Made the jump over to Chevron, took a bunch of courses. Decided I didn't want to be in the field.
00;02;23;24 - 00;02;45;12
Unknown
It's like a glorified field mill, basically. Yeah. Needed to get out of there and, worked at Chevron for the past five years building out, mobile applications, big focus on ESRI products. Did some a stint in our VR group, did some stuff with our connected worker group, and then, yeah, I wound up here in May and have been absolutely loving it.
00;02;45;15 - 00;03;08;02
Unknown
That's awesome. We're I'm very excited to have you guys on board. And, and the, extra hands on help and expertise that you guys bring. And so I think that's, you know, that's Colin's vision for this, for the company, for Clyde as a whole, right, is to have, industry experience PhDs paired with, you know, the best of the best that we can get from the tech side of things.
00;03;08;02 - 00;03;33;05
Unknown
And so I'm super excited, about about having you guys on board and just even the shift with the PhD piece, it's it's oh, we're doing some really cool stuff. So. Tom. Frack, Yeah. Oh, yeah. Let's see what's let's let's introduce Collide Enterprise because I think there's, there is confusion, but between the community app and the enterprise app or there can be.
00;03;33;05 - 00;03;49;04
Unknown
And so how do we make money. Yeah. So I want to I want to make sure we cover that real quick before we get too deep into it. But you know, coming from people hear me talk all the time. Because I love to talk. But from your perspective, what? You know, what is Clyde Enterprise? How do you see it?
00;03;49;10 - 00;04;16;23
Unknown
You know, today? And what kind of, benefits does that bring to, you know, our our clientele. So, you know, for me, whenever I was hired on, we were still in infancy of the product. So it's been exceptionally cool to see the way that we've been able to expand and really mature even in the past six months. So whenever I was brought on board, you know, I sat down with you and Todd and Colin and we talked about how beneficial search can be.
00;04;16;23 - 00;04;38;27
Unknown
You know, we talked about the intricacies of rag and doing rag properly. How much of a step that is over, like traditional like, oh, I'll just upload my files into SharePoint and use Copilot to retrieve, like there's a, there's a big difference between performance in those two. But what we've seen is people love the ability to search their documents.
00;04;38;27 - 00;05;14;00
Unknown
But there was even more. Or there was even more desire for like, what type of automations and workflows can we leverage using AI? Is that backbone? So being able to see that product evolution for me has been incredibly cool. And I'm sure Michael can give some specific examples for what he's seen. But we've gotten so much positive feedback, whether it's the, you know, the regulatory filings for the tens and tens, whether it's, being able to pull information out of, like financial statements for some of our, like, financial workflows, the mapping capabilities, which I'll touch on later.
00;05;14;00 - 00;05;53;27
Unknown
Like, there are so many cool things that can be built out now that we have, like the core AI foundation, like done properly. Yeah. No. Yeah, I agree with that. What's been cool for me is, I feel like what we're doing with the enterprise is we're going out and showing customers that want to use AI how to use AI, and it's really not that, it's not that difficult to find ways to automate, to save time, to save money, to be able to, expand your business and not have to, you know, get heavy on the, on the personnel, go on a big hiring run also, you know, doing a
00;05;53;27 - 00;06;13;07
Unknown
bunch of layoffs when everything's slowed down. But for me, the big thing was like, man, this is like a great way to automate and all those pain points. I used to have working, for an operator and even a service company side. Man, I love being able to go in and say, hey, let's automate this.
00;06;13;07 - 00;06;31;28
Unknown
Like, let's let's save your time, like, work on the hard problems. And that's what I see us doing where we're freeing up time. And Colin says this all time, like we're just freeing up time for engineers to do engineering work, not have to move data around or be a data plumber. Yeah, there's lots of data plumbing happening behind the scenes now.
00;06;31;28 - 00;07;06;07
Unknown
I think that's actually a really good point, too, Michael. Like people six months ago when we would go pitch, they would see, okay, well, this is, you know, this is copilot or this is ChatGPT or this is grok. And as we start implementing better search than that, out of the box solutions on their data that isn't being uploaded and dropped into some black box that Sam Altman has control visibility over, like we're now that we're moving into the workflows part, the narrative is really beginning to resemble that.
00;07;06;10 - 00;07;28;23
Unknown
You know, this industry is boom, bust peaks, troughs. And, you know, when we're in a lull, oil's low or oil's negative. Hopefully that never happens ever again. You know yeah it shouldn't okay. Yeah. You know, there's there's layoffs, there's hiring freezes. We're trying to cut costs everywhere that we can, you know, no bonuses, etc.. Just like bad morale for the industry.
00;07;28;26 - 00;07;57;23
Unknown
And then when things are going great, like, we let stuff slide, things get sloppy. It's just kind of like blow and go as quickly as you can. You just hire another person straight out. Yeah. Optimize. Yeah. Like let's just hire like, let's just get butts in seats to do some like more manual processing. And what we see Clyde doing already is helping to attenuate that peak and trough where no longer are we having to think like, okay, well, sure, we can hire 20 people now, but we'll have to lay them off in the spring if, you know, if Russia does something right.
00;07;57;25 - 00;08;17;10
Unknown
So being able to attenuate and being able to attenuate that peak and trough within your own company and being able to optimize hiring for like who is the best person I can put in this seat and I can pay them more and I can attract more talent because I'm not having to, like, outsource stuff to India. I'm not having to just like put a bunch of butts in seats.
00;08;17;13 - 00;08;41;24
Unknown
I can really go out and hire the best possible people. And I think that has been the narrative that resonates most with customers because they feel that right now. Yeah, no, I think it's, that's always been the most, like, intriguing promise to me as someone who's been laid off a million times, you know, the scalability software has always promised this concept of like, oh, this thing scale, it'll scale with you and all of this stuff.
00;08;41;24 - 00;09;01;18
Unknown
Well, now we can almost this kind of gives that promise, around, you know, certain things that people are responsible for, right? And so it's like, like you take Keith, right? It's like Keith spends a lot of time doing regulatory filings for his company and the number he has to do every month changes. And, you know, so some months it's only a few hours.
00;09;01;18 - 00;09;20;27
Unknown
Other months it could be days to weeks that he has been doing that. And so but there's also a bunch of other stuff on his plate that he's responsible for. And so being able to just take away the things that are like essentially no value add to the company, but have to be done, from people's plates also allows them to do the things that they enjoy doing a lot more.
00;09;20;27 - 00;09;38;17
Unknown
Instead of the analogy I like to give to that is, you know, like life is busy, I hired a cleaning service for my house, and because I hired a cleaning service doesn't mean that like like I'm trying to, like, replace my role as a husband to my family. Like, it's not like my wife is like, oh, great. I can, like, outsource.
00;09;38;18 - 00;09;55;12
Unknown
Nick. Awesome. Like, I'm just trying to spec optimize time that I can spend at home and can spend with my wife. Right. Like the more valuable things that I can be doing. Yeah. It's the same thing with me in the lawn. Yeah. It's like straight up, I. I had a lawn service in high school. I know how to cut a lawn.
00;09;55;15 - 00;10;10;27
Unknown
Do I have the time? Yeah. Like, is that beneficial to you? Is that time free? Right? Yeah. No, brother. Hang out with my kids. And so that's that's, that's something. Or you could outsource it to your son, but is he going to do a great job? Probably not. We'll give him a few more years until we do that.
00;10;10;27 - 00;10;34;07
Unknown
But yes, I will absolutely be outsourcing that at some point. Character building exercise. Exactly. Nick hit on, something, you know, talking about the. I call him over the counter, out of the box, AI copilot and some of the other ones that companies are using. I think it's awesome. They're using them, though, like it's a great, you know, entry into AI.
00;10;34;10 - 00;10;52;05
Unknown
But what we're finding and what we're seeing is, like, people just can't get all the way there because you have to be so accurate in our industry, you have to be so consistent, and you have to have, like, a good source of truth, and it has to be within your own database. So, I love the fact that everyone's exploring it.
00;10;52;05 - 00;11;18;28
Unknown
They're starting to use it, but I love that we're able to take it, you know, all the way to the finish line for people. Yeah. No, I think it's it's fascinating how quickly the industry has like, not necessarily fully adopted it yet, but they're, they're doing more than just kicking the tires. Right. Like they're we've got a lot of pieces and existing clients that, you know, you wouldn't expect to be the first person to sign up for an AI pilot, right?
00;11;19;01 - 00;11;39;00
Unknown
But I think that's awesome. And I think there's this huge opportunity in the future that, you know, you have these 150 person unicorns in the software world. Like there's going to be a less than 500, less than 100 person oil and gas company in the future that's publicly traded or worth billions of dollars because of of things like this, which is which is really exciting.
00;11;39;00 - 00;12;03;27
Unknown
But, I think the bigger thing for me is just like this, this vision that we've got of like Clyde being that single source of truth layer, kind of above all of your existing software databases. So you don't have to have 30 tabs open. You don't have to figure out which you know, which software. The the one specific data point that you're looking for exists in, or if it's in the middle of a contract and you can't find what page it is on that contract or whatever.
00;12;04;00 - 00;12;27;28
Unknown
I think that like kind of changing the way people think about how they do their jobs, especially layering the automation on top of that is a really exciting piece to me because historically speaking, especially on the data side, like our biggest downfall has been these data silos. Or just like, even if it's not intentional data silos, there are all of these data silos that exist within companies where it's like so and so.
00;12;27;28 - 00;12;45;20
Unknown
An accounting needs to know the terms of this contract, but can't figure out which version of the contract is the, the updated one. And so being able to streamline just these menial day to day things right out of the gate with Serge and then layering the automation on top of that, I think we see a lot of really interesting things that that happen from that.
00;12;45;20 - 00;13;16;01
Unknown
So I'm super to one final, final. Yes, yes. Always our final final underscore good underscore for real. I got a question. What do you guys think like with with what we're doing and where are you seeing things going. You know we're seeing all these acquisitions. You know, the big operators, you know are just swallowing everyone else up. But are you seeing and you mentioned it like we're going to start to see, you know, publicly traded oil and gas companies with less than 100 employees.
00;13;16;03 - 00;13;35;16
Unknown
Do you guys think it will go where it's going to give a chance for small and mid-sized companies to actually go out and, you know, grow? And are you going to see like less of the, you know, huge, big three or big five oil and gas companies? Where are you going to start to see more and more smaller companies, because they can go out and manage more assets.
00;13;35;16 - 00;14;09;28
Unknown
They can go out and and do more things. You want to go first. I mean, I think that that's an entirely realistic situation. Yeah. Like I using the tools we were creating properly that that is just like that's going to happen. It's not a question of like, oh, like could it it absolutely will. And I can say that confidently, having seen the customers that have adopted collide so far and that are I mean, we that I love the way that our POC model works, where, you know, we get in, we're able to put something together, really quickly, get confirmation, boom, people start using it.
00;14;10;01 - 00;14;26;22
Unknown
And we even have customers that are acting as like, like affiliate marketers for our product inside of their company. So, you know, it's a good product. I mean, it's like like it's like like my Tesla, right? People experience FSD once and then they're like, holy shit. Like I should go get a Tesla. And then it kind of goes and goes and goes.
00;14;26;24 - 00;14;47;06
Unknown
You know, we get in, we get one POC, it's done. And we have like somebody else that comes in is like, oh, hey, I want to try this with accounting or with mapping etc. there's so much energy and excitement around being able to automate so many different workflows. So for your question of like, could this help with these smaller companies to try and make more acquisitions?
00;14;47;08 - 00;15;10;24
Unknown
Absolutely. Like we're already seeing, just like the small mustard seed of what that potential could look like. I mean, I think this time next year we're going to have some pretty crazy, like, success stories to share in that regard. Yeah, I agree, and your Tesla is awesome by the yeah, FSD is awesome. As much as I'm a diesel driving guy, that Tesla sure would be nice to be driven to work every does not suck.
00;15;10;24 - 00;15;29;16
Unknown
But no, I do agree with you. I think it's really it's going to be interesting to see because you know, the shiny sexy thing is the unconventional side of the world, but they're still a very large portion of our oil and gas that come from conventional, you know, wells or stripper wells or small independents and stuff. And so, you know, for them it's a cost game, right?
00;15;29;16 - 00;15;53;23
Unknown
Like, how can I get my costs, my, my lifting cost, my marginal cost as low as I possibly can. And so if, if you I mean, you know, it's it's also interesting in my opinion, to see like the size of the companies and the stage that of those companies that we're working with, you have everything from like we are funded and don't even have an asset yet to we're looking for assets to we have assets and we plan to double those over the next year or two.
00;15;53;25 - 00;16;11;22
Unknown
And so but, you know, it's not just the small mom and pops, it's all the way across. But for those smaller companies, right, like being able to do more with less with to double your, you know, well count without having to double your headcount. That that's a huge win for them because, you know, you can't control oil price.
00;16;11;22 - 00;16;28;21
Unknown
So you can either get more oil or you can make it cheaper to get. And, I think there's gonna be a lot of really interesting things there. You know, especially there's so much sitting behind pipe these days and in conventional wells that you kind of throw those in as a combination. I think there's something interesting there.
00;16;28;23 - 00;16;46;22
Unknown
And then I think it's going to be fascinating to see what more traditional machine learning kind of tools spin out. You know, new exploration, new recovery techniques, all this stuff. It's like, you know, we're only recovering 10% of the unconventional. So still a lot of oil and gas left in the ground. Whether that's refracts or what.
00;16;46;22 - 00;17;18;17
Unknown
But, you know, ultimately, I do think that that AI and whatever flavor, you're, you're thinking about is going to assist in either new discoveries, increased efficiencies, finding new anomalies, or, you know, root causes. Of a lot of the things that we've been focused on for a long time. So it's, it's definitely an exciting time. I like what you said to Michael about, you know, what's unique about AI is if you compare AI and the excitement and the the buzz around it, right.
00;17;18;17 - 00;17;39;09
Unknown
I was like, ground floor VR, previous company, and it was like pulling teeth trying to get people to put on this VR device and like, oh, look like you can do a walk through and train yourself up like weird people that would get like vertigo symptoms would get nauseous instantly, etc. and that was for such a small unique like bespoke use cases.
00;17;39;16 - 00;17;58;00
Unknown
It didn't apply to everybody. And the democratization of that technology did not exist. Like you had to plop down 4 or 500 bucks to get, you know, a meta quest two with the controllers and everything in order to experience it. And even if you did experience it, it was either like, oh yeah, this is cool, or I freaking hate this.
00;17;58;00 - 00;18;18;06
Unknown
I get this device off of me. People have already come into the conversation like, oh yeah, I have, you know, grok to help me with my sports betting or like put together meal prep ideas. So people are already primed to understand what I can do. We just help personalize it to help them understand, hey, like, you know how awesome it is to do that.
00;18;18;12 - 00;18;43;27
Unknown
Now imagine that with your data and taking it a step further and automating workflows. And people are like, holy shit. Like that's crazy. I mean, there's so much more eagerness to test and start using these tools compared to VR. So I think that's a really important point to make. This is very different from like, oh, like you can VR meet your people and you know, like like no one wants to do VR, like no one wants to be VR.
00;18;43;27 - 00;19;08;07
Unknown
The really didn't take off. Yeah. No. Go ahead. Now let's saying, you know, Nick mentioned, you know, spreadsheets. I was with, customer this week and they are in, you know, spreadsheet. Hell, man. I mean, the pain that they had so many spreadsheets, they're having to manage, they didn't have a database. And so, those are the kind of customers I'm like, yes, you are like, the perfect design partner, right?
00;19;08;07 - 00;19;26;00
Unknown
Like, let's automate all this and maybe let's put your data in a database too. But yeah, those, those situations, they're where they're just going from spreadsheet to spreadsheet to spreadsheet. Man, we can really help those, those companies out. A lot of the times are the small companies, which I really like helping out because they do more with less.
00;19;26;03 - 00;19;46;03
Unknown
I mean, I think really and you know, like the late 20 tens, early 2020s, you know, digital transformation was the buzzword, right? Like, oh, like digital transformation. Okay. Like, what the hell is a green belt? Right? Right. Yeah. Like, but but no, I mean, we so what we're talking about, you know, like transforming old paper based processes into, like, modern systems, etc..
00;19;46;05 - 00;20;03;00
Unknown
But I feel like the missing link was like, what's the end goal? They're like, okay, cool, we have okay, what's the data lake? We we need to describe that to leadership. And why is that important? Okay, cool. We have all of our data in a data lake. Do we just like throw data scientists at it and say like okay, machine learning or shit, right.
00;20;03;00 - 00;20;20;08
Unknown
Like like that did that was a very good report that that was a very real like question of like, well, great, everything's in a data lake. Like now, what do we do with it now? It's done right. Yeah, yeah. That was the transformation. Cool. So we can just go to leadership and explain that we're saving $5 million because everything's in a data lake now, right?
00;20;20;10 - 00;20;40;21
Unknown
Like that's not your cost actually went up. That's not what's happening. It's like yeah, but being able to start with like what's the end goal? That's why the FTE model is so frickin important because we are in these people's offices like you just spent two days with a customer, just working with them, like you got drinks with them, you got dinner with them.
00;20;40;21 - 00;20;59;09
Unknown
Like you're really hearing their problems for, like, what do they do on a day to day basis? What's the biggest pain in the ass for them? Or with Buck? Like what convert? What phone calls do you get that completely derail whatever work you had planned for the day? And then how can we help step in to make sure that that phone call doesn't happen?
00;20;59;09 - 00;21;26;08
Unknown
Or if the phone call does happen, you have an immediate answer that you can get back to it. Yeah, I think that's a good, distinction here is that, you know, with the FTE model, like there was a paper that MIT put out about how whatever giant percentage of of AI implementations failing. But then within that it said, you know, over 60% of vertically, focused ones are actually successful.
00;21;26;10 - 00;21;45;17
Unknown
But I think another element to that is a lot of people with your digital transformation example, they try to boil the ocean when they come in to new technology and it's like, hey, yes, the goal is this. But in order to do that, we have to go through a bunch of different steps to get there. Whereas, you know, with our model we can come in.
00;21;45;17 - 00;22;07;05
Unknown
They have we listen to their problems, we go back and forth with them, and we help them scope it down to something that not only, you know, can we do, but it's actually a good use of this technology to solve that problem. Right? Whereas other people might come in and be like, yeah, we can give a language model all your production data and it'll know exactly what to do with it, which is not true.
00;22;07;08 - 00;22;30;10
Unknown
And so that's but but it's, you know, that happens all the time, right. Like, these are all tools in a tool belt to help you solve problems. They're not one size fits. All, right? Like language models are different than machine learning models. And they do very different things. They're very they're good at those things. But trying to use one for an application that probably should be using another is going to yield pretty bad results.
00;22;30;10 - 00;22;46;23
Unknown
And so I think that's another big thing like that really does help is, you know, we can we're consulting with them in a sense where it's like, hey, tell me your problems. Okay. Based off of those problems, we think, here's the three that we can, you know, tackle. And it makes sense to do this. I can't tell you how many times.
00;22;46;23 - 00;23;06;21
Unknown
And you guys have seen it now to where it's like we come into a new client and they're like, yeah, we wanted to optimize our artificial lift. It's like, well, that's a machine learning model, which is great, but that's not what we do. On the language model side. It's a language model built for language, not for numbers. And so, and we're going to tell you that to you, I think that's another important distinction, right.
00;23;06;21 - 00;23;36;11
Unknown
Like we're not just coming in and doing any job that are any piece of work that clients are throwing at us. We're we're explicitly tackling the problems that are, functions of language models that Chuck tell animations and stuff. Yeah, yeah. No, like no promises when Chuck is involved. Yeah. So one of the questions I've got, for this is what was one thing that you learned this year that surprised you using, using cloud code?
00;23;36;13 - 00;24;00;04
Unknown
How how well it does. It's it really is, a great partner and aid, in man to you can iterate so quickly. And it's, it's been a game changer for me. With that and then using the tools we use like Lane Smith and like I've seen, like all the steps and the tools that it uses to go and do his tasks.
00;24;00;07 - 00;24;26;11
Unknown
That's been like, really eye opening, like, where is this? I wish I was using it, you know, eight months ago to build apps. But, yeah, that's been been huge. Like the tools available to us, to be able to prototype, to get a, a posse. That's really, really working and looks really good for a good customer experience and then push that to the enterprise team to get a deploy.
00;24;26;11 - 00;24;47;20
Unknown
Like, man, it's been a game changer. The tools that we have and the team that we have that have supplied us with that tool is the tools. And the architecture has been like really eye opening. You can say it's cool because it's not only just the tooling that we're actively using, but then the other half of our team is developing tooling for that tooling to make it easier to get things to prod.
00;24;47;23 - 00;25;05;16
Unknown
And so like, it's it's super exciting. And I completely agree with you. Like the Lem thing, especially on the coding side, has completely changed the way that we can. Anybody can do anything. We're in a unique position to have guardrails and expertise put in place to make that work. Like like anybody, we're empowered to do it as well.
00;25;05;17 - 00;25;29;23
Unknown
That's another big one. Yeah, I think about anyone can go get a license for cloud code, but you can only get still. You can only get so far. Like if you if you were the SME of a specific field, subject matter, etc. then you could really do cool shit with it. If you're just kind of like poking around, like you can make an application to remind you to feed your dog or something, but how are you going to get that on the App Store?
00;25;29;27 - 00;25;55;15
Unknown
How are we going to make sure that that's secure? It can be deployed like there is such a heavy lift involved and going from like where we are now to like an enterprise level application. And I think that is the most impressive part of what you just said is like how we're able to do really cool, quick, scrappy stuff, get the customer to be like, oh my gosh, that is like, you perfectly built what I described to you, which is my problem.
00;25;55;17 - 00;26;18;02
Unknown
Yes, let's do a POC. Let's see how we can get this working, get their validation, and then we work with amazing developers that are, I mean, not even ten x like 100 x engineers. Some of the people we have team and then can get that up and running for them in like a matter of weeks compared to I mean, if we were to try to do this five years ago, we're talking I mean, months worth of building and revisions, etc..
00;26;18;05 - 00;26;45;04
Unknown
Going back to your question, John, I think for me, one of the things that caught me off guard was on the regulatory piece, like being a g of being a geophysicist, it's all about, okay, like, how are you imaging what's going on underneath the earth? What are the methods, techniques to make that happen, where the shortcomings of the physics, even doing surveying, you know, you're just focused on how do you get image out of the ground.
00;26;45;07 - 00;27;11;19
Unknown
I had zero awareness or visibility to all of the permitting. That. And let's just focus on the texture recognition that is that is required to get product out of the ground and transport it. That alone, there are so many different regulatory processes, documents required for that. And I had a very overly simplified idea of what that looked like.
00;27;11;19 - 00;27;40;08
Unknown
And actually sitting down with the customer and understanding like, man, these guys spend like 1200 hours a year working on shit like this. That's crazy. I'm like, do you want to be doing that? Like always? You know, the answer is like, absolutely not like that. That's crazy to me, though. So, I think that that's helped me very much empathize with the customer, because me coming in with, you know, like I'm very green in that regard.
00;27;40;08 - 00;28;04;26
Unknown
Like, that's brand new to me. But I can be like, wow, man. Like, I would want to do that. Like, let's build something to fix this. That's messed up. But I would say that by far is like the biggest surprise and like, eye opening thing for me is here. Yeah. So I've got, two, but the first one is kind of the, the interest, not only the interest, but also the potential use cases for service companies.
00;28;04;29 - 00;28;30;10
Unknown
You know, coming from the services side, like you're the last one, you're at the bottom of the totem pole, where you're constantly being demanded for more more technology, more innovation. But then also on the same side of the coin being demanded to, lower your costs in most situations. And so, I'm really excited about just the interest that we've already gotten from our first kind of couple service companies.
00;28;30;10 - 00;28;50;04
Unknown
And, I'm excited about kind of what's coming from from that perspective. But it was one of those that I didn't even like. Some of the things obviously were were pretty interesting, but like the JSA project that we worked on, like, that's really, really cool. Because, you know, it's coming from the field. It's one of those things that like safety is always talked about.
00;28;50;04 - 00;29;13;18
Unknown
Safety is always there. But like being able to contextualize, you know, the JSA to the location, to the job type, pulling in the actual, you know, incidents from either those job types or that area or both, you know, and instead of it saying, beware of slips, trips and falls, it's like so-and-so got crushed last week and died because tubing fell on him.
00;29;13;20 - 00;29;30;15
Unknown
It's like, that makes you think a lot differently than just the same five things on the same JSA that you sign on every single day that you don't ever read. So I'm super bullish on on some of that stuff, and I'm excited. You know, the learning there is the the excitement and the interest from the industry for things like that.
00;29;30;18 - 00;29;56;02
Unknown
It's always nice to see everyone not just talking about safety, but actually doing, stuff to make it make it better. The other one, I think that's really interesting is just the lack of controls around a lot of the out of the box tools that we've experienced, whether directly or with our clients. You know, we've had some clients that have done kind of side by side comparisons with, you know, some of the, the copilots in the GPT of the world out there.
00;29;56;02 - 00;30;16;23
Unknown
And, you know, they might be really good directly out of the box on your first couple questions. But once you start getting deep into it and you start loading it with all of your data, it starts getting lost. And and the ultimate problem there is you have no way of fixing it. Right? So it's just like, oh, just dump your stuff here and then we'll process it and then you can search against it.
00;30;16;26 - 00;30;38;02
Unknown
It's like, okay, well what what do I do when the search isn't right? And there's not really an answer? At least with the tools that we've seen, today. And so that that's, that's why we chose our architecture, it feels good to, to learn that, you know, the decisions we made around the technology and how we architect it and all of that, is are valid, right.
00;30;38;02 - 00;31;03;15
Unknown
Like, we can we have all of the knobs to tweak on the back end all the way down to the prompt, the temperature of the parameters, you know, the top k, how we retrieve it from the index or the database. We have complete transparency into every single step it takes and how it got there. And so I think that's another big thing that, you know, most people don't think about because they just see the marketing material or, you know, like the GPT ad or dev days or whatever, and it looks like magic.
00;31;03;15 - 00;31;29;17
Unknown
And so they think out of the box, everything is magic. And that's kind of what they want you to think ultimately. But but that's not the reality of the situation when you're trying to do these things at enterprise scale on enterprise data. And so, you know, learning at how kind of not necessarily behind, but like just the lack of, of transparency and control that you have with some of these other box tools was really, an interesting one for me.
00;31;29;19 - 00;31;52;08
Unknown
So, kind of wrapping this up, I'm gonna ask you two more questions that the next one is going to be. What? What are you most excited about either at the end of this year or, you know, coming next year. And then the last one is, bold prediction for the future, what the future of energy looks like when they're enabled with, with AI tooling.
00;31;52;08 - 00;32;16;17
Unknown
So whichever one of you wants to, to jump on that first one about what you're most excited for next year. Yeah, I'll go first. For sure. Production ops, you know, production ops, they don't have all the, all the CapEx like the DNC teams do. And, so their budgets tight. And so being able to optimize as much as we can.
00;32;16;17 - 00;32;45;25
Unknown
So we have a lot of workflows that we're going to be automating on that side. The root cause analysis, one is is pretty exciting, you know, just to be able to, to search more data, to compare more data, to get, you know, some sort of, better analysis and to validate. Hey, is the way we were doing, before over, you know, maybe, you know, ten well, that we can consume as humans or 50 wells of data like, is it actually valid?
00;32;45;26 - 00;33;17;03
Unknown
Like, where are we right on those, causes. Also, let's add more inputs to it. Let's add more data to it and see what happens. So I'm super excited to see those outcomes. Yeah that's actually another learning I'm going to throw in is icing on that cake. But just something that I had never thought through, but one of I think one of our clients mentioned this, but they were like, you know, if we can automate the generation of this document, this GSA, this, procedure, that means we can actually include more information in that than if we were to allow a person to do it, because it's automated.
00;33;17;03 - 00;33;33;03
Unknown
And so it's like something I never thought about, but makes a ton of sense, especially given the nature of the complexity of our operations, where it's like, hey, you know, this should have a wellbore schematic in it or a survey in it, but it doesn't today. And that's just because it's a pain in the ass to get it in there.
00;33;33;03 - 00;33;57;19
Unknown
Well, now we can and so I think that's another interesting just cherry on top. But what do you got, Nick? I mean, it's mapping like that is, you know, that's that's my background. That's meat potatoes of what I enjoy, what I'm good at. And that was one of the things that when Colin was initially interviewing me, was like, you know, we got to do mapping stuff and which he completely agreed with.
00;33;57;21 - 00;34;22;23
Unknown
This industry is so visual, whether it's, you know, trying to figure out where you're going to drill, looking at different leases, right of way access, pipeline, laydown, etc.. There are not good enough solutions out there right now. There are okay solutions, and it's like the good ones live in one place and then the rest of the data for that was in five other places.
00;34;22;23 - 00;34;49;28
Unknown
Yeah. And yeah. Well, and I think that those mapping solutions which will remain nameless are good at being able to visualize data, but they don't understand the actual workflows being done. And there might be templates that you could throw in of like, oh, it's like a data collection template or a, you know, a house view or template for like high consequence pipelines and like where they fall within residential areas, but they're not really being built by people in industry.
00;34;50;00 - 00;35;24;04
Unknown
And I don't think that those larger companies have the bandwidth or capacity to be able to really sit down and get into the nitty gritty. So just spending a little bit of time with customers and getting the initial, you know, the regulatory stuff, the, the financial and accounting piece, getting that as a way to kind of like what their views and what their appetite a little bit has allowed us to start to fold in and say, okay, what what could we do with mapping tooling and like a mapping application that resides within the collide search instance?
00;35;24;06 - 00;35;49;06
Unknown
There's lots of really incredible stuff that I'm working on that I can't show right now. But I think this time by next year that will be one of the biggest requested features, for people to visualize their data, ask questions against it in a very high fidelity and secure environment. Yeah. Also, you're not getting GIS grade maps when you ask ChatGPT or cloud to to do any kind of mapping, for you with the out of the box tools.
00;35;49;09 - 00;36;11;06
Unknown
If you've seen any of those memes, they're pretty incredible. Well, I mean, because that's not what general consumers need, right? You're not going to go into grok and be like, oh, hey, plan out a date with my wife and plot it in a map like, it's not it's not tuned to that at there. And I don't think there ever will be a regular consumer unless you're like a super GIS geek.
00;36;11;06 - 00;36;36;24
Unknown
But again, they're not going to spend time and resources building that kind of stuff out. That I think is going to be a big differentiator from us. And like other, you know, solutions that tried to do what we're doing, it's going to completely set us apart from anybody else. Yeah. No, I agree, I think the our industry is unique in the fact that mapping is almost like a default, visualization for pretty much most things that you're doing.
00;36;36;24 - 00;36;56;23
Unknown
It, it ultimately ties back to some asset on a map. And so, yeah, I'm super excited, about the stuff you've done and how that's going to tie into both, you know, giving better answers to the language model, but also giving more context to it. Mapping is going to snowball into what I'm excited about, which is plotting.
00;36;56;25 - 00;37;22;09
Unknown
We haven't, it's going to be really interesting to see how we, we do all these things. But, you know, you I hope I've said it and you'll hear me probably say it 100 more times, but I do think the traditional world of like, dashboarding is coming to an end, if not already dead. Where it's like, now we can ask a language model to give me a, you know, plot on my production data in a very specific way.
00;37;22;09 - 00;37;49;11
Unknown
I can generate a plot locally, customize it exactly how I want, and then, every user has the ability to do that instantly. Right? And so, I think that's really exciting. I'm super excited about that. And then tying that into the mapping feature is also going to be really, really cool. I'm also excited about, you know, kind of rounding out our regulatory suite of, workflows and automations.
00;37;49;11 - 00;38;11;16
Unknown
I think, you know, we have more and more interest every day from different people in different states. And so I think by this time next year, we'll probably have most of the ones for Texas done. And a good chance for some of the other states as well. And so I'm super excited about that. Lastly, I'm really excited about MXGp and tool calling.
00;38;11;18 - 00;38;38;02
Unknown
We've made a bunch of architectural changes that'll be rolling out here in the next couple of months, that, that fundamentally change and improve, the way that, that we do things and, and the capabilities that the user has on, on their end. And so, not just for our clients, but also even for development, you know, there's, there's going to be this opportunity in the future where we we finally have something that people can use to develop additional stuff on for collide.
00;38;38;04 - 00;38;57;10
Unknown
And I'm the most bullish about that because, you know, we're we've always been about community. We are still very much so about community. And, I'm really excited to see what the community is able to build once we start releasing thing, some of these tooling, things like that. So, we'll cool. Guys, this has been awesome.
00;38;57;12 - 00;39;22;12
Unknown
Last question. What's your your big bold prediction for for AI five years from now? We'll just we'll pick five years and let's go three years. That's a little more tangible. We say it all the time and I'm going to take it from from Colin. And even Elon said it on Joe Rogan's podcast. Like everything that we have now as far as these, software platforms where data has to go there and sit there and then you have to go and log in, that's all middleware.
00;39;22;16 - 00;39;40;02
Unknown
That's all going to go away. Everything is going to go straight into the customer's database and then collide is going to be able to go and get that data, do stuff with it, deliver it to you. I think the same thing with phones, all these apps that's going to go away. It's just going to be you just talk to your phone or whatever device.
00;39;40;02 - 00;40;02;01
Unknown
Neuralink, I think we're throwing around. So I think, I think that's the future and I think it's coming pretty quick. I really do my old prediction is not so much on the software side, but I think that we're going to see hardware rapidly change to and the next couple of years. Right. We're we're talking a lot about there's new models that come out every single day.
00;40;02;01 - 00;40;31;17
Unknown
You've got Nano Banana Pro that makes crazy images. Every day there's a new model that's coming out. But hardware takes a lot longer to refresh because there's a physical component to it. But I think that we're going to see a complete step change in what computers look like, what phones look like, what what a car looks like in the next three years, where we're going to be living in a society where, like the future actually does look and feel like the future, which I that's that's not it.
00;40;31;17 - 00;40;50;06
Unknown
That's not the next mark, but that's a, that's an Elon thing. So I, I can't take any credit for that. But I definitely do see that being very real. So that's my that's my prediction. Yeah. No, I agree I think mine are we'll see. The first billion dollar oil company run by less than 100 people.
00;40;50;08 - 00;41;11;13
Unknown
And I think I completely agree with both of you in the fact that the way that we use technology is going to be very different, I think. I guess I'll say another bold prediction. I think keyboards are probably pretty close to being dead. I think we were literally just on Amazon looking at different headsets and stuff for us to use in the office so that we can talk to our computers more efficiently.
00;41;11;13 - 00;41;33;20
Unknown
But, the implementation of tools like Whisper Flow and the voice to text, you know, Colin posted a picture. He's like a 70 word per minute typer. And on whisper Flow, he's like close to 200. And so it's like just that alone. It's like, oh, or that like, how do you argue against that? Right. And then, you know, at some point someone will have an mSRP for operating systems, right?
00;41;33;20 - 00;41;49;15
Unknown
And so you'll be able to completely control your phone or your computer just with voice. And so that and that is going to be wild, because that also then fundamentally changes what they look like, how you interface with apps. Do you need a phone? That's a great question to like or that that's a great statement too, because I was thinking about this the other day.
00;41;49;16 - 00;42;12;10
Unknown
If you're you're trying to change a setting on and you're your parent or grandparents, like, how do I change the brightness? I like that is you have to sit down, walk through that process with Siri, change my brightness, increase my brightness like you can do it on Alexa, but like it hasn't caught up. But I've absolutely see whoever can figure that out Microsoft or Apple.
00;42;12;12 - 00;42;29;01
Unknown
First is going to have a ridiculous boom. Because yeah, like then why do I need a screen on my I never have to take my phone out of my pocket. But then that also fundamentally changes how we work both in the office and the field. Like, I think for the better in the field, right. You have less distractions.
00;42;29;03 - 00;42;51;20
Unknown
You can have something guiding you along the way. I yeah, I'm really excited about it. When are we gonna get our first humanoid in? I really was is one of those Tesla bots honestly of cool to have around the office? That'd be pretty sweet. To what? Plug ins? Give me a coffee, I guess. Yeah. So take the taxi exam.
00;42;51;22 - 00;43;17;04
Unknown
Yeah. Let me add to that, last question. My my take, I, I think there's going to be, like, winners and losers the same way they are today and in the past, like, people still use Google and like click the first, like SEO, like those that see advertised like link and like don't even know to scroll down a little bit like people are not I'm not talk about old people on some about anyone.
00;43;17;07 - 00;43;35;09
Unknown
They're still doing it. It's like, how the hell are people going to adapt to like using GPT and I, you know, three years from now, like, I still think people are going to suck at using it. Basically, like I, I'm tired of hearing people will be like, GPT is, awful. And, you know, like it's it's inaccurate. It's like iCarly.
00;43;35;09 - 00;43;53;02
Unknown
People just do not know how to use these tools to help their lives. And I don't think I think there's going to be these losers who are not doing the right. And meanwhile we are going to be just like streamlining and like using all these tools the best way possible. And they're going to laugh at us being like, oh my God, they're whispering into their microphones.
00;43;53;02 - 00;44;15;25
Unknown
And like, that's like, okay, like, sorry, I'm saving like triple time. And you're still like clicking, Amazon links to a Google search, clicking your buttons on your laptop over there. But like you were saying, like, you know, raise my brightness on my phone, yada yada, like, are we going to be able to articulate this next step for these older generations and people who who are who don't want to adapt?
00;44;15;29 - 00;44;42;01
Unknown
Are we going to go do the same process again? I think the the thing that I've seen with technology is that, I mean, we see it with kind of our generation, right? Is it's like new technology came about, whether that was the CD, the cassette or the home computer. And it's like, you know, I know how to defrag a hard drive because I used to have to do that because that was part of having a computer that ran semi well back in 2000.
00;44;42;04 - 00;45;03;28
Unknown
No one has defrag the hard drive in like a decade because they have just stuff they've engineered it out right, or it runs in the background quietly. And so like that's that's part of the technology life cycle, is that the complexity of the technology might go up in the long run, but the user experience gets better because they're just they're automating away the things that the users aren't good at.
00;45;03;28 - 00;45;36;28
Unknown
And so the and you've seen how GPT is already right, like the prompt engineering and the prompt improvement behind the scenes has gotten a lot better. They're pulling in context and your history and your memory and stuff to further enhance the, the accuracy and stuff like that. But, I think it'll be the same thing. There's going to be this like however many years of friction for the masses, and then there will be a new improvement or a new thing that dramatically increases the amount of people that can confidently use that or use it as well as we can these days.
00;45;37;04 - 00;45;57;08
Unknown
Well, I mean, and if you look at the technology adoption curve, right, it's typically you've got like the early adopters, the people that are the beta testers and they're like, I don't care if it breaks like I want the latest and greatest. And then you've got, you know, like mass, like majority of people like, oh, like most people use Google search and then laggards that are like, I'm still going to go to a library to look up information, asking Jeeves maybe.
00;45;57;08 - 00;46;32;05
Unknown
Yeah, exactly. But I think because of how quickly technology has accelerated, I feel like there's this elongation between like vast. It's like there's a second hump to that bell curve now where you have people that are, like, still bleeding edge. And I feel like that is where most of us like, from a personality perspective, fall. But I think that the more that we work with our customers and the more that we can show them, like the art of what's possible, I really think that that traditional bell curve of of adoption, I think it's got a little hump at the very beginning where people are like, oh shit, and then there's going to be a chasm
00;46;32;05 - 00;46;55;09
Unknown
between people that are not using AI at all. And then people that are using AI and like, feel comfortable with these types of systems. So I have two younger siblings. It's a seven year age gap between me and my youngest brother, and that's something that I talk with them all about is like all the time is like, y'all need to be looking into and actively using these tools on a regular basis.
00;46;55;11 - 00;47;16;07
Unknown
That's something I would be doing over, like our Christmas vacation is sitting down with them and like, look at what you can build in a weekend if you really put your mind to it. So I completely agree with the sentiment you are saying of, you know, technology's evolving really quickly. But that's also the best part of our jobs is being able to show people and have those like, oh shit moments.
00;47;16;09 - 00;47;37;18
Unknown
You know, the amount of times we've been able to, like, thoroughly blow people's minds with stuff that we're able to articulate is just phenomenal. Yeah. Now, this has been, been great. One tiny tidbit to end on that I also forgot to add to the, upcoming things that I'm excited about fine tune models coming at some point next year.
00;47;37;20 - 00;47;59;04
Unknown
I'm super excited about that. So, shout out to Jasmine. Our. Yeah. ML expert. We're super excited to have you on board. And, I'm incredibly excited to see how much better, some of these, these fine tuned models make. And also to pass that test that, that, that we're talking about. So, we'll see. But guys thanks again everybody.
00;47;59;04 - 00;48;01;22
Unknown
Appreciate y'all watching. And we will see you all next time. Thanks.