Artificial Intelligence with Chloe Smith
Episode #87: Welcome to the She Builds Show, I’m your host, Stefanie Olson and today I’m thrilled to introduce you to Chloe Smith! With a strong background in data strategy, big data, AI, and data monetization, Chloe was able to leverage her expertise to create Mercator, AI. Today, Mercator analyzes millions of construction data activities—from conception to post-construction—to enable early project detection, uncover risk signals and surface competitive and client insights in real-time.
Listen in…
ABOUT CHLOE SMITH:
CEO and Co-Founder of Mercator AI
Chloe Smith is the CEO and Co-founder of Mercator AI, a construction intelligence platform that delivers project insights for general contractors, engineering firms, real estate firms, and building project manufacturers. Prior to launching Mercator, Chloe developed market intelligence tools for business developers in the marketing and advertising space, where she helped reduce time spent on gap analyses.
With a strong background in data strategy, big data, AI, and data monetization, Chloe was able to leverage her expertise to create Mercator. Today, Mercator analyzes millions of construction data activities—from conception to post-construction—to enable early project detection, uncover risk signals and surface competitive and client insights in real-time.
Together with her Co-founder, Hogan Lee, who has a background in building high performing multi-disciplinary teams, Chloe is building a company that is at the forefront of industry intelligence and innovation.
CONNECT WITH CHLOE:
• Website: https://mercator.ai
• LinkedIn: https://www.linkedin.com/company/mercator-ai
• Email: info@mercator.ai
WAYS TO CONNECT WITH STEFANIE…
• Website: https://shebuildshomes.com
• Facebook: https://www.facebook.com/shebuildsbetter
• Instagram: https://www.instagram.com/shebuilds.homes
• YouTube: https://www.youtube.com/shebuildsshow
EPISODE TRANSCRIPT:
0:01 Welcome to the She Builds Show.
0:03 I’m your host, Stefanie Olson, a licensed general contractor who builds new construction, renovates and designs your vision today.
0:12 More than ever, we need raw, authentic women who are willing to rise above society’s norms, break those glass and encourage each other to boldly build the life we were meant to live.
0:24 So, honey, what are you building?
0:27 All right.
0:28 Welcome to the She Builds Show.
0:29 I have an incredible guest today.
0:31 Her name is Chloe Smith and she is the creator, founder Mercator AI.
0:36 Welcome to the show.
0:38 Thank you so much, Stefanie.
0:39 Thank you for having me.
0:40 Of course.
0:40 Ok.
0:41 So tell us a little bit about like who you are and just tell me where you live.
0:46 Let’s start there.
0:47 Where do you live?
0:49 I live in Calgary, Alberta, Canada about places or just little mountain.
0:54 And it is.
0:55 What’s the weather like there right now?
0:58 Our weather like turns drastic sun.
1:00 Is it you’d be fooled that it’s summer over here.
1:04 Yeah.
1:04 One of the only places in the world that gets chinooks.
1:07 So we get chinook arches.
1:08 So in the middle of the winter, it will get a 30 degrees Celsius difference one day to the next.
1:14 It’s a very bizarre place to live.
1:15 It’s quite low.
1:16 What does that even mean?
1:17 I never even heard of that word.
1:18 I shouldn’t have.
1:19 Arch is my gosh, you’re gonna put me on the spot for something.
1:21 I should have no business talking about.
1:24 Basically a weather phenomenon.
1:27 A weather phenomenon. The eighth wonder of the world. It’s a big arch.
1:31 Yeah.
1:33 Tell me what Mercator AI is just because I know it has to do with the building industry and obviously has to do with artificial intelligence.
1:41 So give me if I was a dumb, dumb and knew nothing about this, like it slated to me in like super easy to Yeah, absolutely.
1:51 Absolutely.
1:52 So what we do is we map the life cycle of a plot of we so that we can give our business developers, whether they’re general contractors or real estate brokers or building product manufacturers, the ability to detect early project signals before they’re full fledged projects that are going out to bid.
2:10 And so how do you do that a variety of different ways?
2:14 So part of that is our artificial intelligence that we bring into how we process our data.
2:19 But a lot of it actually comes from my background.
2:21 So my background is in data strategy, working in marketing and advertising, actually working on consumer products for most of my career where we were able to really take a lot of the data exhausted us as consumers, as individuals create throughout our buying journey and stitching all that together to determine.
2:38 Ok, well, what are they doing before?
2:40 Would they purchase, what are they doing after they purchased?
2:43 And we took that concept to the business development team to try and understand what’s happening outside of organizations outside of the B I, the business intelligence that they create internally about, you know, analyzing their own data, the data that they produced, right?
2:55 Being able to understand what’s happening outside our business, what’s happening in the external data that gets produced.
3:00 And so we’ve taken that concept to construction where we’re saying, OK, there’s all kinds of data exhaust getting created along the life cycle of a plot of land.
3:10 So from like, you know, a land transaction all the way through to leasing and then tenant improvements and then people occupying the building in the state of that building over time.
3:20 And so we’ve taken that approach, that consumer approach and we’ve applied it here where we’re able to look at data that’s coming in from the city or regulatory boards or privatized entities that we work with.
3:32 There are data aggregators that we work with or even scrape data that we pull and stitch together.
3:37 What is the story that’s happening in the market?
3:40 And that’s really what our artificial intelligence does underneath the surface is stitch all of that together and determine OK, what data is related to itself or related to a specific project who is working on that project, who might be working with who and as a result, we can build really extensive knowledge graphs about what’s happening in the industry.
3:59 Wow, that’s a lot.
4:01 So who would be somebody that would use this information?
4:05 Like who does this information apply to?
4:07 Because like I’m thinking I would not like me like little tiny contractor, this would not apply.
4:13 Am I correct?
4:16 I mean, typically, so we target companies that are looking to that are either on kind of the larger to enterprise level size general contractor, real estate firm, engineering firm, building product manufacturer, or we can also target kind of the mid size companies as well.
4:33 So is the purpose to like if I were a larger company and I was, you know, like D R Horton and I wanted to go and all I do is develop land and build houses and sell subdivisions.
4:44 Like is that somebody that this would apply to?
4:47 So we don’t target developers yet, right?
4:50 We general contractors, building product manufacturers, engineering firms, real estate brokers, primarily the stakeholders that interact with building something or getting something built.
5:00 And then in a general contractor realm, I’m just trying to like, how do I like connect the dots of what you do to like real life?
5:06 That’s what I try to like get to the thing of it is you’re a business developer, right?
5:12 And your job is you spend all day researching and trying to find what’s going to happen next.
5:17 Right.
5:18 What’s my next project right now?
5:20 You do that, you might use bidding tools which are perfectly find a way to find a project that’s in the bidding phase.
5:27 But really oftentimes you’re trying to find stuff that’s in conception, you’re trying to find stuff that hasn’t even, you know, hit the bidding phase yet.
5:35 It’s like in a, out of state market, you could apply it to like finding off market deals, correct?
5:41 Yeah, totally.
5:42 OK.
5:42 So it’s not like it’s not in the consumer stage yet or out to bid.
5:46 Yeah, because most general companies directors that are going to do public works or, you know, state federal contracts, like they’re just consuming the R F I S that are going out to bid and you’re trying to find projects that may be like a land, you know, deed was sold or something or some sort of permit by some entity has been applied for.
6:09 Is that kind of what the AI does?
6:11 Yeah.
6:11 So our AI under the surface stitches all that together to determine what relationships exist, right?
6:17 But the data in which we collect some of which is, you know, know land transactions or permits or applications to understand what’s happening ahead of time.
6:25 Now, one of the challenges that we have is that in the industry is that public projects are made available to, you know, the public right.
6:33 They’re quite openly known what’s more difficult to find are the private projects, right?
6:38 Because you have to be invited or you have to know the individuals.
6:41 And so one of the things that we found in our research early on was that if the spend isn’t happening with me as a company or the clients aren’t working with me, typically, I won’t know about it because it’s not in my network yet.
6:52 And so how do I get ahead of that?
6:54 How do I take the whole 4 to 6 years?
6:56 It takes me to, you know, establish myself in a new market or especially with the issue that we’re dealing with now, which is the generational gap that we’re coming up against where we have a whole bunch of folks moving out of industry with their networks and as a challenge.
7:10 And, you know, we’ve got new folks coming up in the industry who don’t have extensive networks, not to mention that there’s also additional players in industry now.
7:18 So it’s much broader of a group to know how are you supposed to find out about those projects or hub up those private projects that are happening outside your network?
7:27 That’s where Mercator really comes in, right?
7:29 Is we’re able to really pinpoint, you know, what stage of a project are you interested in coming in at?
7:35 Is it early on in the conception phase?
7:37 Is it once we have signs, is that once we’re starting to develop and then how can we get you in front of those projects with all the right information, knowing who the stakeholders are with the, you know, materials that have been created so far and then ultimately contact details.
7:51 So you can go and have a productive conversation.
7:54 It too many times where our customers are chasing ghosts.
7:57 You’ll often hear like any lead is a lead for us or any opportunity is a lead.
8:02 And that’s a challenge because you’re going to probably convert maybe 3 to 5% of those.
8:06 So where’s all that wasted time going?
8:08 Right.
8:09 So this is where we’re really trying to work with our business developers to ensure that the time and energy that they spend doing what they do amazingly well in market, which is building a relationship and trust is done with the projects that are actually moving forward.
8:22 So you’re creating elites for businesses essentially, that’s what we’re building today.
8:30 Like I’m just trying to and I’m like, I’m not as smart as you.
8:32 So I’m like trying to be like, is that like, you know, because you’re basically finding the projects and then, you know, and then whoever subscribes to your membership or however you collect payment for it, then you’re giving out the leads with the information and the contact information for them to go and execute, potentially being a part of that project.
8:55 Do I have a grasp on it a little bit?
8:57 And at an early stage.
8:59 Yeah, absolutely.
8:59 And as an early stage company, that’s the first step that we’re taking, right.
9:03 It’s something that our industry immediately needs.
9:06 It is something that, you know, is quite a pain point that’s felt every single day.
9:10 And as we grow here, we can start taking that knowledge and that information because we do have coverage over an entire, you know, any geography that we’re in, we have entire coverage over all projects, right?
9:20 So now we can start taking this step into how do we start looking at this data on aggregate?
9:25 So how do we start pulling trends from the data?
9:26 How do we start identifying, you know, what could be happening next?
9:29 Who could be potentially applying or bidding on this project based off of, you know, historical projects where all of these stakeholders have worked together, right?
9:39 Starting to get into more intense or advanced competitive intelligence, right?
9:44 Where we’re able to understand?
9:45 OK, well, why are my competitors winning projects that I’m losing?
9:49 Right?
9:49 What’s the differentiator there that I could be using to better inform my business and then ultimately moving into risk deduction because at the end of the day, we’re all taking risks working with one another.
9:59 And you know, the outcome of the project is really dependent on who we work with, right?
10:04 We’re only one piece of the equation.
10:06 And so that’s really where we’re driving our product works is ultimately spanning opportunity detection or lead detection.
10:13 All the way through to risk detection?
10:15 Cool.
10:16 So did you come up with this idea?
10:18 Like give me a little bit of background of like how this came about, I think, understanding what it does and how it helps.
10:26 But then like give me a little bit of your background of like how you got there and where this all came from.
10:32 Yeah, absolutely.
10:33 So my background being in data strategy has always had a focus around how do we bring context to the data that we know about our own business?
10:44 Right?
10:44 So if you think about, you know, the last 10 to 15 years, it’s been a really, really pushing this idea of business intelligence, the idea that, you know, we are producing data within our own company.
10:55 And so, and you probably do it as well, right?
10:57 You look at your podcast metrics and you determine how well am I doing and you know, how are things shifting and changing over time?
11:03 What’s working, what’s not, but to be able to contextualize that, put that into context against what’s happening in your industry with other podcasts, it really helps you understand.
11:14 OK.
11:14 Am I ahead of the curve?
11:16 Am I behind, you know, where do I fit in terms of, you know, the Construction Podcast world?
11:21 Right?
11:21 It’s the same concept you have with any other company where we’re looking at, how can we use data that’s about telling us how the the industry is faring and shaping up to be able to understand how we’re doing within it.
11:34 And so that’s where I spent a lot of my time is helping huge companies, huge consumer brands that you probably use today, understanding how their industry is evolving so that they can determine if how they’re evolving internally is fast enough or, you know, to the performance standards.
11:52 They’re looking for a good example of this is if you knew that this year, you were going from 10 to 12 in a certain metric, but you knew that the industry was at 100 you’d have a very different story.
12:03 You’d be celebrating that if you didn’t know the industry was at 100 but then if you knew the industry, it was 100 you think?
12:08 OK, we’re not moving fast enough, right?
12:11 And so we’re taking that concept, that concept of how do we use the data that gets produced from an industry to determine what the heck is going on with all the other companies in this industry?
12:22 Where is it trending?
12:23 And then how do we apply that knowledge to our business?
12:27 And so in marketing and advertising, a lot of that was, you know, we’re dropping into a brand new industry, we’re airdropping into an industry, we know nothing about, right?
12:35 How do we understand who the competitors are?
12:37 What the customer voice is?
12:39 What, where the gaps exist in the market, where we can build really interesting brand strategies to take a portion of the market share over.
12:47 And so that’s really where my background stems from is really deeply rich data.
12:53 And then taking that back to construction, my family is in construction.
12:56 So I’ve always been kind of tied to the industry in some capacity.
13:00 And I really thought to myself, you know, here’s an opportunity where I’ve grown up hearing.
13:05 My dad has all of these amazing relationships and amazing networks.
13:09 And it’s really a function of his ability to build these relationships and build trust that drive the value of the business that he’s a part of.
13:17 Well, as you start to realize, acknowledge that there’s a huge workforce that’s about to age out, that becomes a huge concern, a huge concern for those companies because they’re about to lose all this revenue potential, right?
13:29 They’re losing the drivers of the revenue and especially as a project based business.
13:33 That’s terrifying.
13:35 And so, you know, is there a way for us to help the next generation coming up to be able to find opportunities faster, to be more efficient, there’s fewer people going into construction.
13:47 So how can we help them honestly shoulder the revenue responsibility that was created ahead of them?
13:54 That’s really the focus of kind of where we came to with Mercator.
13:57 It is my baby.
13:58 It’s my brainchild, but it’s been fascinating to watch a whole team of amazing folks that we have now kind of take that brainchild and drive it forward and it’s really cool.
14:08 So what did you go to school for market?
14:10 Oh my gosh.
14:11 I went to school for public relations of all things.
14:14 OK.
14:15I found myself in this industry.
14:17 I joined a marketing agency.
14:19 And one of the questions I asked one of the things that you do in pr is evaluate the effectiveness of the work you do, right?
14:28 You need to understand.
14:28 Like did we move the needle on brand perception?
14:31 Right.
14:31 Well, when I joined my first marketing and advertising agency, I realized we didn’t know the impact that we were creating.
14:39 And so I started building up, you know, we were building websites at the time.
14:43 So, you know, are you like, are you building code and writing code in some cases?
14:49 But today, no, no, not today.
14:51 Today, I don’t write code.
14:52 OK.
14:53 Was that part of your journey like learning that and figuring out because I don’t know how somebody like goes from having a degree in what you did to like having artificial intelligence.
15:02 Like to me, there’s, there’s quite a gap there.
15:05 Well, I think you got to bring it back to at the end of the day, you were trying to measure something and there’s data that comes from that and that data journey, you can either stay pretty strategic on it or you can go in depth and, and start to evaluate or start going down the path of statistics frankly and statistics, you know, leaps frogs, you all the way to machine learning if you go down that path.
15:26 And so I knew in my background that I would need a practice understanding of how to build machine learning models and how to manipulate A I in order to be able to lead teams to be able to do that.
15:39 And so that’s something that I ended up spending time in is learning how to code and learning how to model and building some basic models in order to be able to coach a team of cross-disciplinary individuals to build products based on A I.
15:55 Well, so what does your team look like?
15:58 I think we are at 14, we’re hiring quite aggressively.
16:01 So it’s like a number that changes pretty commonly.
16:04 But would you consider your business like a startup where you have, you know, like venture capital is investing?
16:10 Like, are you at that stage?
16:12 Absolutely.
16:12 So we’re a state startup.
16:14 You know, our first round we raised back in April of last year, we raised a million Canadians at our pre seed round.
16:20 We had some amazing investors, join us at that stage.
16:23 And then most recently we just raised about 3.75 million US T and so about five million Canadian for our seed round.
16:31 So this will give us about two years of runway at 24 months of runway where we are growing our team right now, we are expanding our product, we are expanding our product across major markets across the US and Canada, and we’re quite aggressively starting to commercialize the tool itself.
16:47 So last year January 1st we launched our minimum viable product.
16:51 So we’ve been in market for, you know, no more than, gosh, almost a year and a half.
16:55 Now, what has it been like for you?
16:58 Because it sounds like you worked for someone else for a period of time and then you kind of launched this on your own.
17:04 It sounds like those employers or whatever were pretty large.
17:08 So you got to see, you know, be exposed to possibly a venture capitalists before my guess.
17:15 What has it been like?
17:16 No, you have it.
17:16 Ok.
17:17 Well, my question is, is what was it like for you to go from this big idea to now you’ve got 14 employees and you owe, you know, you’ve got $678 million invested into a business and now you’re in charge of everybody.
17:37 What has that been like for you?
17:40 A learning curve for sure.
17:42 It’s been a journey.
17:44 And I think like any baby that you bring to term and ours isn’t even that term yet, but it is something that over time you kind of prepare yourself for and you go through kind of learning cycles and get better.
17:57 I can certainly say that what I know now is worlds more than what I knew when I started.
18:04 But I do a whole bunch of things differently.
18:06 Yes.
18:06 Absolutely.
18:07 But that’s part of hindsight.
18:09 I think that one thing that did really help me to move into this role is having been a former head of innovation and building basically small startup teams where, you know, I had cross-disciplinary teams that I brought together and built a product and was a product manager and a product owner.
18:27 And so a lot of that’s been really helpful.
18:30 But I can tell you that the first time we decided to raise, I did not know what to do.
18:34 And I, you know, had to figure it out.
18:37 And a big part of that was frankly reaching out to other CEO s of other companies and saying, OK, how did like, what do you like about this investor?
18:46 You took money from them, did it turn out?
18:48 Because the biggest thing that you hear is, you know, you don’t want to take money from the wrong people.
18:52 There’s a lot of money out there, but, you know, you don’t want to take it from the wrong investors.
18:56 And so I got to learn a lot about like from other people’s mistakes of what they wish they would have done differently.
19:02 And then as a result, kind of formulated my own plan.
19:04 But I think bravery is a big to this and just being able to step out and say, I know nothing about what I’m about to do, but I’m going to go figure it out.
19:15 Where does that come from?
19:16 Where does that like, do you have a mentor?
19:18 Is your support system really good?
19:20 Like, what is it in you that, you know, most people may have an idea and, you know, that could be a very big one and could, you know, call for outside investors.
19:31 What made you take that leap and not be riddled by the fear that I’m sure you felt.
19:37 I think, I mean, some of it, I think it is nurture, but I think a lot of it is nature.
19:43 You know, the ability to just say to be with the fear I think is a big one and be with uncertainty and be ok with that throughout my career, very quickly grew to understand that I love change.
19:55 I love a little bit of chaos sprinkled in the mic and it always makes for interesting outcomes and good learnings.
20:01 And that ambiguity is something that I’m incredibly comfortable with.
20:06 I’ve had some amazing mentors.
20:08 I’ve had some mentors tell me, don’t go down this path.
20:12 You know, I’ve had other mentors, tell me, you know, you won’t know until you try.
20:16 And so I think it’s a function of my level of risk tolerance, the stage in which I’m at in terms of my personal life.
20:25 And my honestly, my want to prove to myself that I can do this again.
20:32 That’s been a pretty guiding, I guess mental perspective.
20:36 Yeah.
20:36 What’s been the hardest thing to date like since you, you know, had the idea to now and, and investing what’s been the hardest thing.
20:45 I mean, I can tell you that probably like staring your bank account down and seeing the numbers starting to go down and you’re going like, ok, we’ve only got this much more oxygen left is like a pretty intense experience.
20:56 But I’d probably say that jumping was probably the hardest thing.
20:59 The first jump, the first leap.
21:01 I remember my husband and I went for a huge walk and talked about, you know, all of the pros and cons of what the plan was going to be and you know, what metrics I needed to hit personally, to be able to say, yeah, this is viable.
21:15 And I would say that that was probably the scariest because you either do it or yeah, you kind of leave your job and you go, OK, I have, you know, I have money coming in through contracts because I was contracting at the time to kind of support myself through this process.
21:29 And, you know, I had real numbers I needed to hit in terms of being able to prove that this was going to be viable and something that I could actually, you know, pursue.
21:38 And I think that that was one of the hardest things, especially knowing that, like, I didn’t know at first that we were going into construction.
21:45 You know, we had a very nebulous idea of, OK, we want to map industries, how do we do so with data and which industry do we map?
21:53 Do we even have a problem statement?
21:55 And so a lot of that kind of nebulousness caused us to do a lot of things in the first year that I would never do again.
22:02 You know, and it’s all learning.
22:04 But I think once you jump, you’re kind of blocking and tackling and kind of adapting, making the moves you need to make As they come describe to me what it was like when an investor said, yes, I’m gonna give you three million bucks or whatever it is.
22:23 What was it like when somebody gave you?
22:25 Because I think that that feeling of, I believe in you and I think that what you’re doing is viable and that has to give you energy and excitement.
22:36 And also I’m sure like, oh sh*t, it would be my response.
22:43 But what was that like when you know that first time somebody gave you money?
22:48 So the first time somebody gave me money was a family friend actually.
22:52 And so I can say that the oh sh*t was so much more in that than all the other checks afterwards because this was, oh my gosh, this is somebody who I’m going to have to see at family events that this doesn’t pan out.
23:08 So there was definitely that like, I probably, you know, had the most amount of anxiety over those dollars than any other dollar after the fact that doesn’t change the magnitude of the other investments.
23:23 But at that point I was like, there’s already money in the game and I need to see this through.
23:27 So that kind of shock of like, oh, this is real, kind of with that first one, but that first one was kind of an oh sh*t.
23:34 Well, good word for us.
23:36 I’m gonna have to kill it.
23:38 I’m gonna have to tell you what’s happening and I’m gonna have to pay you back and all the that, that’s awesome.
23:43 I think I can tell you that the last round where we raised obviously the most to date was less of a oh shit and more of a we’ve got this and like there was this level of like confidence like we’ve got this and we have amazing investors behind us now.
23:59 It’s just let’s go, right.
24:01 And there was just this sense of like, I can’t wait to just get back to work and show what we know we’re able to do with these funds.
24:09 Well, that’s amazing.
24:11 Tell me, do you have an end goal?
24:14 Like a, a game plan for the end of this journey?
24:18 What’s your end goal?
24:20 Sell it, make 100 billion.
24:22 What is it?
24:24 I think I definitely see this being an industry shaping and changing company.
24:30 We are creating a brand new category in this industry.
24:33 There are no intelligence tools in construction.
24:35 We are the first and so do I believe wholeheartedly that we are providing a whole new sense like we’re literally walking into a dark room and flicking the lights on is what we’re doing with this company.
24:48 And so end goal, I would say that there’s a couple different paths we can take.
24:52 But I see this being a very large company, something that I’m excited to grow and I’m excited to see how do we build a very large company and how do we scale this over the next, you know, 5, 7, 10 years.
25:05 So you just plan to stay in it.
25:08 Like, is it, do you want to sell it?
25:10 Do you want to be done with it or is it like this is something I’m gonna do forever and I want it to be generational or, you know, have somebody that I choose to do a succession plan or something.
25:20 Like, do you have any idea of where you want to head there?
25:24 I know personally that maintaining something that’s already in existence is the tough thing for me to do.
25:29 I’m a creator, I’m a maker first and foremost.
25:31 So these kind of early years are where I thrive the best.
25:37 And I think once we get to a certain size and it becomes kind of an M and a play or like emerges in acquisitions.
25:44 If we start acquiring companies, for example, I think that there’s some interesting learnings there.
25:49 But I think ultimately where my heart lies is in creating.
25:52 And so I think at some point I will be like, ok, I’m good.
25:56 I maybe you thought up a step back.
25:57 But I, there’s, there’s a lot, there’s a lot of work to get there.
26:01 So, you know, I want to make sure I’m putting my head down and focusing on the right things.
26:05 That’s incredible.
26:06 Well, I am so lucky to get to know you at what you’re doing and you are just in incredible mind and what you’re trying to do to disrupt the industry and to help people.
26:18 I think it’s just such a beautiful other side of being able to like use technology to help people, you know, in kind of an industry where technology isn’t really present all that much.
26:31 Could you share with the listeners?
26:33 I don’t even know if you’re allowing more investors, but either investors or if they want to use your tools or contact you or get a hold of you or they’re like, oh my gosh, this is so interesting.
26:42 I want to know more.
26:44 Let us know how they can bind you.
26:46 Yeah.
26:46 Absolutely.
26:47 Well, we have an inundation of interest right now.
26:50 So we had to create a waitlist for our product.
26:53 We have a waitlist that people can jump onto for September access on river dot A I.
26:59 So that’s M E R C A T O R dot A I on our website, we also have the ability to leave to reach out if you’re an investor.
27:07 We love to meet investors early on.
27:09 It’s such a fantastic opportunity to start to get to know each other and build a relationship.
27:15 Nearly all of our investors from this latest round came in as a result of having known us previously.
27:21 So that’s always fantastic.
27:23 But yeah, that’s how you can get a hold of us.
27:26 I love it.
27:27 Thank you so much, Chloe.
27:28 This has been awesome and I just again, thank you for being here.
27:32 Thank you so much, Stefanie for having me.
27:34 It’s been a pleasure.
27:35 Of course.
27:37 Thanks for joining me today on the She Builds Show.
27:40 My name is Stefanie Olson.
27:41 My hope is that this episode leaves you feeling empowered and ready to boldly take that step into building the life that you envision one 2×4 at a time.
27:51 And if you can do me a quick favor, please leave me a five star review on iTunes.
27:55 I get giddy over reading the reviews each week and I will choose one special person to win some She Builds swag.
28:01 Make sure you add your name to the review and I’ll reach out if you’re the winner.
28:05 Thanks again for hanging out.
28:06 Be sure to visit me at theSheBuildsShow.com where you can ask me questions and share with me what you’re building.