Enquire AI
Valuation
$25M
2024 Revenue
$1.7M(Est.)
Customers · 2022
80
Funding
$8.5M
Team
193
Founded
2017
Enquire AI Revenue, Valuation & Funding (2024)
Enquire AI, formerly known as Global Wonks, is an AI-powered expert network platform founded in 2017 and headquartered at enquire.ai. The company connects Fortune 100 corporations, private equity firms, and hedge funds with a network of approximately 40,000 subject matter experts who answer business, policy, and security questions in real time through its core Network Pulse product.
Cenk Sidar, co-founder and CEO, told Latka in January 2022 that the company generated between $1 million and $2 million in revenue in 2021, with Network Pulse accounting for a large portion of that figure. The company closed a $2.2 million seed round in March 2020 and a $5.5 million Series A approximately one month before the interview, bringing total disclosed funding to roughly $8.5 million across three rounds including an $800,000 angel raise in 2018 and 2019.
For 2022, Sidar projected revenue of $5 million to $7 million, driven by a shift away from marketplace services toward two new product lines: Lumina, an enterprise knowledge management tool priced at $1 million to $3 million per engagement, and an API integration layer targeting more than 10 large third-party data platforms. The company employed 35 full-time staff as of January 2022, roughly one-third of whom were engineers.
Last updated
Enquire AI Revenue
Cenk Sidar told Latka in January 2022 that Enquire AI generated between $1 million and $2 million in total revenue in 2021. Host Nathan Latka derived a Network Pulse-specific figure of approximately $1.2 million for 2021, calculated from roughly 4,000 questions answered at a prior price of $300 per question, and Sidar confirmed the math was close for that product line. A separate figure of $600,000 was also referenced in the extraction data as a 2021 revenue point, likely reflecting an earlier period within the year before growth accelerated.
| Year | Milestone | Source |
|---|---|---|
| 2024 | Enquire AI Hit $1.7m revenue in October 2024 | Estimated |
| 2023 | Enquire AI Hit $1.4m revenue in November 2023 | Estimated |
| 2022 | Enquire AI Hit $1.4m revenue in January 2022 | |
| 2021 | Enquire AI Hit $1m revenue in January 2021 | Watch[1] |
| 2020 | Enquire AI Hit $240k revenue in June 2020 | |
| 2017 | Launched with $0 revenue |
Sidar noted that a large portion of 2021 revenues came from the Network Pulse marketplace but said the mix would shift significantly in 2022 toward the Lumina enterprise product and API partnerships. He projected 2022 revenue of $5 million to $7 million, implying a monthly run rate rising from roughly $150,000 at the time of the interview to $500,000 to $600,000 per month by year-end. That projection represents a roughly 3x to 5x increase over the 2021 total and is based on Sidar's own forward guidance, not a GetLatka model. A year prior to the January 2022 interview, Sidar estimated the company was generating roughly half to one-third of its then-current monthly revenue, consistent with the lower 2021 figures disclosed.
Enquire AI Valuation, Funding Rounds
Enquire AI reached a $25M valuation in 2022, set during its Series A round.
Enquire AI has raised $8.5M in total funding across 3 rounds, most recently a $5.5M Series A round in 2022.
| Year | Round | Amount | Valuation | % Sold | Source |
|---|---|---|---|---|---|
| 2022 | Series A | $5.5M | $25M | 22% | |
| 2020 | Seed | $2.2M | - | - | |
| 2018 | Angel | $800K | - | - |
Founder / CEO
Cenk Sidar
CEO
Cenk Sidar is the co-founder and CEO of Enquire AI. He was 39 years old at the time of the January 2022 interview and said he began his professional career 14 years prior. He noted he had built other businesses before Enquire AI, though no prior company names or outcomes were disclosed in the interview. Sidar is divorced with two children, ages 7 and 9.
Sidar founded the company in 2017 under the name Global Wonks, spending the first two years building the supply side of the platform by recruiting experts and testing the product with a small number of clients. Structured growth began after the March 2020 seed round. Net worth was not discussed in the interview and no estimate can be derived from the available data, as ownership percentage beyond the approximate 20 percent sold in the Series A was not disclosed.
Q&A
| Question | Answer |
|---|---|
| What's your age? | 42 |
| Favorite online tool? | - |
| Favorite book? | - |
| Favorite CEO? | - |
| Advice for 20 year old self | - |
Customers
As of January 2022, Enquire AI had approximately 80 paying institutional clients and 120 total onboarded institutions, with the difference reflecting organizations that had been onboarded but were not actively engaging the platform at the time. Sidar told Latka that approximately 110 users were actively engaging the platform and asking real-time questions through Network Pulse.
The ratio of users to institutions implied roughly 1.2 to 1.3 seats per enterprise client on average, a figure Sidar acknowledged while noting the company had just launched an unlimited-questions pricing model intended to drive broader seat adoption. Previously, the platform charged $300 per question. The new unlimited license model was described as a significant shift designed to make the product more user-friendly and increase question volume per client.
Enquire AI serves 80 customers.
Enquire AI Business Model
Enquire AI generates revenue through three primary streams: the Network Pulse marketplace, the Lumina enterprise knowledge management product, and API integrations with large third-party data platforms. The Network Pulse product previously charged $300 per question; the company shifted to an unlimited-questions license model in 2022. The Lumina enterprise product is priced in a range of $1 million to $3 million per engagement. API partnerships with more than 10 large platforms were in the pipeline as of January 2022.
On the cost side, Sidar confirmed that expert compensation represented a meaningful expense. Experts are paid between $20 and $50 per approved answer, with a maximum of eight expert responses per question. In 2021, the company answered approximately 3,500 to 4,000 questions. Host Latka calculated that paying 20,000 experts at $20 per question implied roughly $400,000 to $600,000 in expert payout expense for 2021, and Sidar said the actual figure was probably more. Profitability was not discussed in the interview.
The company described itself as transitioning from a professional services and marketplace model toward a pure SaaS and technology provider model, with Lumina and API revenue expected to represent a larger share of the 2022 mix. Gross margin, churn, LTV, CAC, and burn rate were not discussed in the interview.
Point-in-time figures shared on the GetLatka podcast, each linked to the exact moment it was said on camera.
Customers (2022)
80
“Cenk Sidar: We have about 120 onboarded institutions. Some of the clients only use expert calls. Some of them use only network pulses. Some of them use both. I will say about 80 institutional clients, and I will say about 110 users engage the platform and ask real time questions to the expert.”
WatchEnquire AI Employees & Team Size
Enquire AI employed approximately 35 full-time staff as of January 2022. Sidar told Latka that roughly one-third of the team, approximately 12 people, were in technology and engineering roles. No further breakdown of team composition by function was provided in the interview.
Enquire AI employs approximately 193 people as of 2026, down from 198 in 2023. It serves 80 customers that rely on its solutions.
| Year | Milestone | Source |
|---|---|---|
| 2024 | Reached 193 employees (October 2024) | |
| 2023 | Reached 198 employees (November 2023) | |
| 2022 | Reached 35 employees (January 2022) | Estimated |
| 2021 | Reached 200 employees (November 2021) | |
| 2020 | Reached 150 employees (November 2020) |
Frequently Asked Questions about Enquire AI
What is Enquire AI's revenue?
Enquire AI generates an estimated $1.7M in annual revenue.
Who founded Enquire AI?
Enquire AI was founded by Cenk Sidar.
Who is the CEO of Enquire AI?
The CEO of Enquire AI is Cenk Sidar.
How much funding does Enquire AI have?
Enquire AI raised $8.5M across 3 rounds.
How many employees does Enquire AI have?
Enquire AI has 193 employees.
Where is Enquire AI headquarters?
Enquire AI is headquartered in Washington, District Of Columbia, United States.
Compare Enquire AI to the industry
Enquire AI operates across multiple industries. Browse revenue, funding, and growth data for Enquire AI in each sector below.
Full Interview Transcripts
Ask Experts Anything Marketplace Did $1.5m Last Year, 20,000 Experts Paid, 80 Customers, $5.5m RaisedJan 26, 2022
[00:00] Hey, folks. My guest today is Cenk Sidar. He began his professional career fourteen years ago. Today, he's the co founder and CEO of enquire, formerly Global Wonks. Enquire provides the world's leading enterprises with an AI powered platform to leverage global subject matter expertise in real time. Follow along at enquire dot ai. Cenk, you ready to take us to the top? [00:18] >> Thank thank you. Thanks for having me. [00:20] Who's so who's paying for this? [00:22] >> So basically, our clients are mostly Fortune 100 companies and also some investment groups, private equities, hedge funds that require on the ground insights for pre deal due diligence or any insights requiring research. We basically work with mostly the head of portfolio managers and also head of research for different organizations, and they engage our platform when they need outside expertise and insights. [00:57] What does that mean? So I mean, people know traditional firms like GLG, right? Where you can say, I need to know more about the waste management space, and GLG will go find the top experts in waste management and connect you on a phone call with them. Are you effectively doing that but using code? [01:11] >> So, yeah, we automate most of the process, but also the way we deliver insights is very different than other traditional expert networks. Basically, we have about 40,000 experts, and every single expert is searchable and transparent on our website. So basically, when a client signs on our platform, they can search an expertise and they can engage those experts on a real time basis. And we're really focused that much on the expert calls. We provide expert calls, we [01:43] >> arrange expert calls for our clients, but our core product is Network Pulse. And Network Pulse is a product that you go to our platform and ask any business policy or security related question, and within minutes, you get real expert insights on the question to your dashboard automatically. So most of the cases, you don't even need to have one hour expensive expert call. You can get the insights you need within minutes to your platform. [02:18] What incentivizes the experts to respond or request for enquire so quickly? Do you have 40,000 people on your payroll? [02:25] >> No. Basically, we have a gamification for expert compensation. Every expert that provides approved response to a question gets paid somewhere between $20 to $50 and [02:40] >> also basically answering a question and on top of getting paid for the answer they provide, they also become eligible for a higher value consulting engagement. It could be an expert call or it could be a report. Technically, we also create and provide visibility to experts from all over the world. [03:01] Mhmm. But if I want to go find the world's top expert on B-fifty two bombers, they're not gonna be hanging on enquire to gamify, earning $20 to answer a question. Right? How do you go recruit do you have to recruit, like, the smartest people in the world? And if so, don't you pay them way more than $20 an answer? [03:19] >> So, Nathan, you'll be actually surprised, you know, about the caliber of people that we have in platform. Again, I'll just give an example about Network Pulse, but we have higher ticket engagement as well. So yeah, we basically continuously recruit experts to our platform. We have about close to 40,000 experts in any subject matter expertise you would imagine from the And [03:43] Cenk, what does that mean? Does that mean you've paid at least a dollar to 40,000 people over the past twelve months? [03:49] >> No. Basically, those experts come to our platform and they built their profile very similar to how they built their LinkedIn profile, and they choose the engagements they would like to do. Some experts may say, I don't wanna answer questions for 50 I just wanna be eligible or available for expert calls, and then they get paid Understood. At a high [04:13] Oh, what's going on there, YouTube? Good to see you guys. Now imagine this, you love watching these interviews with SaaS founders, but imagine if we took all of the valuation data out from over 2,807 interviews I've done manually. Saves you a lot of time. Well, we've done this. We've built it into the beautiful interface inside of Founderpath. Check this out. [04:32] >> I'll show [04:32] you how you can access this in a second, but you log in, you connect your Stripe account, you see your valuation real time. You can see what it changed over the past eighty eight days and even set goals for valuation this year. Now the secret evaluation is there's many different ways to value a SaaS business. So the reason you're gonna see three or four different valuations inside of your Founderpath dashboard, this is all free by the [04:55] way, is because depending on who's doing the buying of your SaaS company, you're gonna get a different valuation. A VC is gonna pay a different valuation, private equity firm is different. If you're gonna do a minority sale, that's different. And if you sell the whole business, that's a different valuation. You can see all those when I hover over here. Right? So the teal is what a VC would pay. Yellow is what private equity and red is [05:18] if you sold the whole thing outright. Now what's cool about this is this is not built off random data. Again, you guys hear these interviews on YouTube. All these datas are built from real time valuation data points founder share with us on the show. So traction, 1,200,000 seed round, 3.7 raise. They sold 22% of their business. Go in here and filter by the event. Maybe you only wanna see companies that have sold the whole business. Well, [05:43] here are a bunch that have been acquired the valuation and the multiple. Maybe you're going out right now and you're raising your seed round. Well, go in here and look at all this recent seed deals that went down, what they raised, what valuation they raised at, and what percent that they sold. There's never been a larger dataset of SaaS valuations than what you can get now inside of Founderpath. And we're thrilled to bring it to you. [06:08] Alright. We're gonna go back to the YouTube video here in a second, but if you wanna check this tool out, if you wanna jump in and sign up, you can check it out for free to get your valuation at this link. This link, founderpath.com/products/valuations. Or if you go to founderpath.com and hover over products, click on get your valuation here, and go ahead and sign up to give it a whirl. Again, all that valuation data live right [06:33] inside the platform. I hope to see you there. Alright. Let's jump back into the interview. How many though? I'm curious, though. How many how many did you pay? At least a dollar over the past thirty days. [06:43] >> So I will say we have about, like, half of the experts somehow can engage through a platform through Network Pulse or call. I will say, like, about 15 to 20,000 people. [06:52] But that's engaged. What makes this work is the money, right? The unification. How many made at least $1 in the past thirty days? [06:59] >> No, actually, the amount that I gave you was the number of people who Oh, got thousand. So here's the deal. So if you answer a question and your answer got approved by your AI who's assessing the quality of the response and your expertise and basically your relevance to the question, it means you automatically got paid. So we don't make people work for no compensation. And I should also explain that. We only match questions with the people [07:31] >> who have already expertise on that. For example, if the question about SaaS revenue models, you don't even need to do any work on that. You provide one paragraph answer within eight minutes. The average time that you spend answering a question is eight minutes, And if you make $50 in eight minutes, it's more than any other expert network's paying experts in an hourly basis. [07:56] Understood. So you tell me if this math is right then. You said the average expert gets paid 20 to $50 per question. Let's just assume 20, the low end of what you gave. Yep. If you paid 20,000 of these folks at least a dollar in the past thirty days, we can take 20,000 times 20 per question. Right? So you spent in the past thirty days $400,000 paying experts to answer questions on the low Yeah. [08:19] >> More than last year. Yeah, probably. That made us probably But that's the [08:22] last year, not the last thirty days. [08:24] >> No. I think you asked about the last year. So yeah. Exactly. So but don't forget, we charging our clients [08:29] to ask Hold on. I know, Cenk, I know I understand that, but I just wanna make sure I get this right. It's 40,000 have built profiles. 20,000 have been paid at least a dollar in the past three hundred and sixty days, the past year. [08:40] >> Yep. [08:41] I see. Okay. Not the last thirty days. Yep. I see. So in 2021, you had about four hundred to six hundred thousand dollars of expenses, went towards paying experts. Yeah. [08:52] >> Probably more. Yeah. Because because so basically, [08:58] >> are days that we get a lot of questions about these days, we get all questions about Ukraine and Russia, right? And then all of our experts who have expertise in Russia, Ukraine, Eurasia political, risk gets pinged. Not many on North Korea, but maybe, like, something happening in that part of the world or maybe about the Fed interest rate conversation these days or Bitcoin regulation. Or questions that we receive really depends on the agenda of the global [09:25] >> markets and the Understood. [09:28] Yeah. Think the product is crystal clear. I'm not questioning that. All these use cases make complete sense. So I don't think we need to spend more time there. Think my audience gets it. I get it completely. I am curious though. So in 2021, how many questions went answered total? [09:41] >> Again, I am not sitting in front of my dashboard right, but in average a week, and of course, the number of questions increase every week as we onboard more clients. But I will say last year in total, we have about 35. So again, don't wanna give a wrong number, and we have about 4,000 questions answered last year, I believe. [10:03] >> 3,500 to 4,000. [10:05] Questions answered last year? [10:07] >> Yes. [10:08] Okay, you just told me last year 20,000 experts were paid at least a dollar, but they only answered 4,000 questions. Don't you need at least a one to one ratio? [10:18] >> No. Here's the deal. Again, when you ask a question on a platform, you get minimum five, maximum eight responses. So that's the beauty about the product. So when you ask a question about regulation of Bitcoin in Russia, you're not getting one expert answering the question. They're you're paying [10:39] >> $20 to five experts if they all give a good answer to one question. [10:42] Exactly. Exactly. I see. Okay. [10:44] And then the flip side of the marketplace, which I'm trying to build out here, that's why I'm asking all these questions. [10:50] How many businesses spent at least a dollar to get a question answered on the platform last year? [10:56] >> We have about 120 onboarded institutions. Know, some of the clients only use expert calls. Some of them use only network pulses. Some of them use both. I will say about 80 institutional clients, and I will say about one hundred-one 110 users, engage the platform and ask real time questions to the expert. [11:20] So is that a way of saying you have 110 free users, but 80 of them are really paying your big paying customers? [11:24] >> No. [11:25] >> 80 institutions and 110 users. So some institutions that use us, let's say, I'm just giving an example, like Starbucks may have five users [11:36] that use So your you're averaging about 1.2 seats per enterprise or 1.3 seats per enterprise? [11:43] >> Yeah. But this year, we made a major difference in our pricing model. So we launched unlimited questions, and that's revolutionary in the consulting and the knowledge market. Now we're in a position to sell unlimited question packages per user [12:01] >> clients. So technically, once you have the license, you can go and ask unlimited questions. In our previous model, we used to charge $300 per question, and now we're basically providing this unlimited model that will be very user friendly because they will be able to ask unlimited questions of 40,000 experts So really utilize the [12:25] is it fair to say if you you just made this pricing change, right? [12:28] >> Yes. So if [12:29] you had 4,000 questions asked last year at $300 a pop, you did about 1,200,000 total revenue last year. [12:36] >> This is on the network pulses. We have a lot of expert calls, we do a lot of consulting engagements. We have enterprise level we have enterprise level software. But just for [12:47] pulse, is the 1,200,000 correct? [12:49] >> Yeah. We don't we don't announce the revenue numbers, but, you know, I think your math is pretty close for the network pulses, yes. [12:55] And you have a bunch of different revenue streams, which is smart, you're diversified, but about what percent of your total revenue would you say is just Pulse revenue? [13:02] >> At this point, we're not really providing this information on the public spaces, but I think I shared the information with you earlier [13:13] >> for your survey. But basically, as of last year, I will say a large portion of our revenues came from the network pulses in the marketplace, but this year it will change significantly because we started providing API access to large third party data platforms, and the balance is gonna shift towards API and the Lumina product for 2022 numbers. [13:41] Okay, but I wanna put up, we can round, you don't have to be specific, but last year you did somewhere between one and two million revenue, mainly Pulse. In 2022, you think that'll be more diversified and a higher revenue number? [13:52] >> A 100%. Exactly. [13:53] Got it. Perfect. That's great. Have you bootstrapped this or raised? [13:56] >> We just closed our Series A round. We raised about $5,500,000 A month ago, we closed the round. Before that, we did our seed, and two years ago, we did our angel round. So this is our third institution, second institutional round, third funding round, and we will be going towards our Series B round by the end of the year as our growth significantly increases with the new products I just highlighted. [14:29] The seed that you did last year, how much was that? [14:31] >> It was 3,000,000. [14:32] 3,000,000? [14:33] >> 2,200,000. [14:35] 2.2. And the it was seed. [14:38] >> And angel was, like, $800,000. [14:40] And what year was the 800? [14:42] >> Oh, good question. I think it was the 2018, '19 period. The And when did you launch? Actually I'm sorry. You asked me about the seat. The seat was two thousand twenty March when COVID just hit at that point. [14:55] Yeah. When was the $800? [14:59] >> It was angel round. It was 2018 and '19. It was a like not one round, but it was a continuous race through semi. [15:07] Yeah, that makes a lot of sense. And so you just raised a Series A at 5,500,000. Most folks are selling between sort of 10 to 20% of their business in a Series A. Were you sort of in that same range? [15:17] >> We are, but as I mentioned, we are making significant transition to become technology provider rather than to be a professional services provider. So let me briefly explain what I mean with that. Our marketplace that we just talked about, the number of questions, the number of clients that have access to, is a platform that clients can engage the experts directly. But now we basically implemented our technology to large enterprises. So we are in the process of engaging [15:52] >> and implementing our technology to large professional services firm so that internal employees of these large organizations will be able to ask questions internally, and that will be pure SaaS play, and we are very excited about it. So that puts us more in the technology provider category than the service provider. [16:16] And so, again, if you sort of finished last year between 1 and $2,000,000 of revenue, what do you think you can grow to by the end of twenty twenty two? [16:23] >> Yeah, I think we are projecting to be somewhere about 5 to 7,000,000 this year. [16:28] Interesting. Okay, that'd be So you're doing like $150,000 a month right now on revenue. You think you can get that up to like $500 to $600 grand? [16:37] >> Yes. Again, our Lumina product that we implement the knowledge management tool to large organizations, and we are working with the largest organizations of the world. They're like a $1 to $3,000,000 price value that we're providing right now. And also, we are building such partnerships for the API, basically integrating or creating a product with third party platforms. Imagine Bloomberg terminal. We we we do not like working with them right now, but I'm just giving you example. You [17:09] >> have the, you know, full access point to the, like, platform terminal, and there we go a little slot that you will be able to ask a question. On the front end, you see Bloomberg or Dow Jones, but on the back end, you are seeing you're basically reaching out to our expert network and get real time content from our experts. I just gave the Bloomberg an example, but there are like 10 plus platforms that size we are [17:33] >> working on providing our unique solution that brings human [17:37] data and technology together. Got it. Again, think the audience totally understands the product. It makes a ton of sense to me. Help me understand growth, So if you're right, you know, 150 a month right now in revenue, where were you exactly a year ago? [17:49] >> I think a year ago at that time, this time, we're talking about half of it or even one third of it last year. [17:55] Interesting. Interesting. [17:56] >> And when you very continuous growth pace, especially with the number of new API partnerships that we are bringing on the table. [18:06] I get that. Cenk, though, when I asked you about your Series A and selling between 10 to 20%, you immediately went into like professional services, right? And how you're pivoting away from that, which is obviously if you're trying to maximize valuation, that's good because VCs are going to value professional services way less than pure software, 85% margin revenue. Is that code for telling me you sold maybe a little more than 20% of the business in your Series A? [18:27] >> Somewhere around there. Yeah, we were typical numbers. [18:30] Why did Well, more than 20% wouldn't be typical Series A for SaaS company because your margin profile, it sounds like it's a little bit worse, but you're gonna improve that over time. I guess the reason I'm asking you is why do you need 5,500,000? It's very dilutive for you as the founder. [18:42] >> Here's the deal, because we invest heavily in technology and, you know, that's in line with our vision moving from marketplace to technology provider. We invest a lot in data science, how we can automate and provide more scalable opportunities. For example, in the early days, we were able to run maybe 10 to 25 questions a day because we had to have a human eye looking at every response and checking the quality of the response and releasing to [19:13] >> the client dashboard, right? So we were able to automate that with AI. So every response that is provided by the experts is automatically in real time assessed by our AI, so that if the quality is lower than our threshold, we don't project that response to the client dashboard. By demanding this AI, we can increase the number of questions we can run on the platform internally or externally for our clients. [19:40] And Cenk, how many people are full time today? [19:42] >> So we have about 35 people full time. [19:46] How many are engineers? [19:48] >> One third of them are technology people. [19:51] Okay. So about, call it, 12. And when did you launch? [19:55] >> It's a tricky question because we launched the company in 2017, but the first two years were really building the supply side of the company, right? Building the platform with bringing experts to the platform, you know, trying the product with, like, a smaller number of experts and clients. Understood. Last two years, since we raised our seed round, you know, we have much more, like, structured, [20:24] >> you know, growth and [20:26] Got it. Cenk, we're out of we're out of time here, so we gotta wrap up. Rapid fire questions here. One word answers if you can. Number one, favorite business book. [20:33] >> I like the the the Lean, the Eric [20:38] >> Lean startup. [20:39] Number two, is there a CEO you're following or studying? [20:43] >> Good question. I I, you know, I always I was like I was like Jack Bezos. [20:51] Number three. What's your favorite online tool for building enquire? [20:56] >> I love Salesforce. [20:58] Number three or four. What's your how many hours of sleep do get every night? [21:02] >> Probably like six. [21:03] And situation, married, single, kids? [21:06] >> I'm actually single, divorced, two kids. [21:10] Two kiddos. And how old are you, Cenk? [21:12] >> I'm 39 and the [21:14] kids 30 are nine. [21:15] >> Yeah. The kids are seven and nine. [21:16] Wow. Okay. Last question. Something you wish you knew when you were 20. [21:22] >> You know, starting a business is extremely benefit like, rewarding, but also stressful. [21:28] Mhmm. [21:28] >> Because I built other business in the past. [21:30] Guys, there you have it. Launched in 2017, enquire.ai is helping 80 enterprise accounts with 120 seats get big questions answered via their network of 40,000 experts. Those experts, 20,000 of them made at least a dollar last year in the platform. They spent between, call it, $400 to $600 grand last year paying out those experts and generate about 1 to $2,000,000 in revenue from these customers asking these big questions. They're now moving more to a pure SaaS play, looking [21:53] to scale up to 6 or $7,000,000 in revenue this year. Just closed a Series A, 5,500,000 selling about, call it, 20% of the business as Cenk looks to scale. Cenk, thanks for taking us to the top. [22:02] >> Thank you, Nathan. I really enjoyed it. Thank you very much. [22:06] One more thing before you go. We have a brand new show every Thursday at 1PM Central. It's called Shark Tank for SaaS. We call it deal or bust. One founder comes on, three hungry buyers. They try and do a deal live and the founder shares back end dashboards, their expenses, their revenue, ARPU CAC, LTV, you name it, they share it and the buyers try and make a deal live. It is fun to watch every Thursday one [22:31] p. M. Central. Additionally, remember these recorded Founder interviews go live. We release them here on YouTube every day at two p. M. Central. To make sure you don't miss any of that, make sure you click the subscribe button below here on YouTube, the big red button and then click the little bell notification to make sure you get notifications when we do go live. I wouldn't want you to miss breaking news in the SaaS world, whether it's [22:52] an acquisition, a big fundraise, a big sale, a big profitability statement or else. I don't want you to miss it. Additionally, if you want to take this conversation deeper and further, we have by far the largest private Slack community for B2B SaaS founders. You want to get in there. We've probably talked about your tool if you're running a company or your firm if you're investing. You can go in there and quickly search and see what people [23:14] are saying. Sign up for that at nathanlatka.com/slack. In the meantime, I'm hanging out with you here on YouTube. I'll be in the comments for the next thirty minutes. Feel free to let me know what you thought about this episode. And if you enjoyed it, click the thumbs up. We get a lot of haters that are mad at how aggressive I am on these shows, but I do it so that we can all learn. We have to [23:33] counter those people. We got to push them away. Click the thumbs up below to counter them and know that I appreciate your guys'support. Alright, I'll be in the comments. See you.
Data and Sources
All figures on this page are taken directly from interviews or are estimates from public sources and proprietary models. Not financial advice. Read full disclaimer.
Claim this profilePeople Also Viewed
Zingle AI Lab
Data pipelines break. Dashboards drift. Warehouse costs explode. And every data engineer still...
MySchool Limited
MySchool is a software ecosystem that helps independent K12 schools manage their data, streamline...
Articence Inc
Enabling Contextual Intelligence for unstructured text data
Knowingo+
Provider of a cloud-based learning platform intended to revolutionize the way people learn. The...
CollectiveCrunch
Provider of a data analytics platform intended to model technical data in the climatic context. The...
Inspace XR
Developer of augmented reality software designed for real estate industry. The company software...