How Dresma Hit $2M ARR With Usage-Based Pricing & AI-Powered E-Commerce Imagery

Siddharth Sinha is the co-founder and CEO of Dresma, an AI-powered platform helping global brands create studio-quality e-commerce imagery, videos, and localized content at scale. Launched in 2020, Dresma helps brands like Puma localize product imagery across markets using AI models, data intelligence, and automated workflows. The company now serves ~28 customers, generates ~$2M ARR, and has grown profitably with a lean team of 31 people. In this episode, Siddharth explains Dresma's usage-based pricing model, how studio partnerships drive over 50% of revenue, and how the company expanded enterprise customers up to $500K per year—while keeping infrastructure costs and CAC under control. You'll learn: How Dresma helps brands localize content globally using AI Why usage-based pricing outperformed seat-based or product upsells How studio partnerships became a major growth channel What percent of revenue goes to LLM credits (and why it works) How free tools drive SEO and enterprise lead generation Dresma's ABM tech stack (Smartlead, Apollo, Clay + custom tooling) How to sell enterprise SaaS with AEs based in India How Dresma grew from $1.3M to $2M ARR in 12 months What it took to reach profitability after raising a $3M seed round Before founding Dresma, Siddharth was a serial entrepreneur and Cornell-trained engineer with deep experience in e-commerce content and studio workflows. The company raised a $3M seed round at a $10M post-money valuation in late 2021, backed by early revenue traction and strong domain expertise. Today, Dresma is profitable, growing steadily, and focused on becoming the end-to-end visual content engine for global e-commerce brands. If you're a SaaS founder thinking about usage-based pricing, enterprise AI, programmatic SEO, or capital-efficient growth—this episode is a deep, tactical breakdown of what actually works. Watch this episode on YouTube: https://www.youtube.com/watch?v=NjSTmVJ_SF0 Connect with Siddharth: https://dresma.com Connect with Nathan: https://founderpath.com

• 0:00Speaker 00

  What is your largest customer pay you today?

• 0:02Speaker 01

  Just about half a million dollars.

• 0:03Speaker 00

  You're at 2 million right now here in December of 2025. And where were you exactly one year ago?

• 0:07Speaker 01

  We were at about 1.3.

• 0:09Speaker 00

  Everybody knows Puma, the shoes. How does Puma use you guys?

• 0:12Speaker 01

  Puma uses us to basically localize content for all the markets that they're in. Give you an example, we recently essentially helped them launch in Southeast Asia.

• 0:22Speaker 00

  How low at any point in time did the bank balance get before you turned profitable?

• 0:25Speaker 01

  Because of tens of thousands of dollars.

• 0:27Speaker 00

  This year in 2025, they're finished here in December with 2 million dollars of ARR, 28 paying customers, 31 team members. If I forced you to tell me on average, what does a customer pay you per month or per year? What would that dollar range be? Hey folks, my guest today is Siddharth Sinha. He is building Dresma, an AI-powered platform revolutionizing e-commerce imagery. He's a Cornell engineer and N C A D MBA alumnus. As a serial entrepreneur, leading his third venture as CEO and co-founder of the business. All right, Siddharth, you ready to take us to the top?

• 1:00Speaker 01

  Great. Nice to meet you, Nathan.

• 1:02Speaker 00

  Good to meet you as well. Take us into the business, right? So I'm going to pull up the website here. Tell the audience what you guys do. How do you make money?

• 1:08Speaker 01

  So we basically help any brand create all the content that they need to be successful online. Whether it be for marketplaces, for social media, or for their own web store. So everything from videos to lifestyle imagery, to the any content that goes on their PDP page. That's what we do. We help the brands do this at scale with studio quality.

• 1:29Speaker 00

  So if I tried to pigeonhole you here, would you say this is more of a AI-like Pinterest? Or more of a sort of Sora, social network of AI images around merchandise from a specific brand? Or neither?

• 1:41Speaker 01

  So this is essentially, think of us as a marketing agency on steroids. So effectively, we give you all the intelligence that an agency gives you about your, about your brand, your environment and the landscape, as well as give you the workflows to be able to create content that makes you successful in that environment.

• 2:01Speaker 00

  Okay. Help educate them here. Let's just dive into a specific example. So let's pick one here on your website. Everybody knows Puma, the shoes. How does Puma use you guys?

• 2:09Speaker 01

  So Puma uses us to basically localize content for all the markets that they are in. So to give you an example, we recently essentially helped them launch in Southeast Asia. So all the content that was designed for their European market was localized for the Southeast Asian market. We gave them all the sort of intelligence as to figure out what kind of context they should be showing their products on, what kind of models they should be using to showcase that product. And all of it was done using AI. They used AI models, AI locations, and essentially localized all the entire product portfolio for that market.

• 2:45Speaker 00

  And what sort of LLM stack are you sitting on top of? Or are you doing tool calling and you just field the request to any of the different models?

• 2:53Speaker 01

  So we essentially are primarily built on top of Gemini for all the content creation. We use a bunch of different video models depending on what kind of content you're creating. But for most of the imagery, we are using Gemini and we basically sort of lay a data foundation below it so that essentially we are able to inform the model as to the best referencing, the best prompting that can be used to create content for that particular brand.

• 3:24Speaker 00

  And Siddhartha, a lot of folks are saying these AI tools are just wrappers. And the reason they say that is because so much of your revenue goes to paying for Gemini credits. What percent of your total revenue today goes towards paying for the credits?

• 3:37Speaker 01

  So it's about 25 to 30%.

• 3:39Speaker 00

  That's not bad.

• 3:41Speaker 01

  So basically, what the brand is also paying us for essentially are two things. One is the data layer itself. So we essentially have a lot of real time intelligence as to what kind of content brands should be creating. So that's one part of the value add that we bring on top of the LLM or the data creation layer.

• 4:00Speaker 00

  So just to be clear, like lifestyle shots versus catalog versus marketplace versus ad, that's what you mean by the kinds of content?

• 4:07Speaker 01

  Yes, those are the kinds of content, but we essentially, if you look at the sofa and the environment that that sofa is sitting in, that information comes from our data layer. So essentially, given a type of brand and a type of product, you're able to essentially contextualize the product for the best appeal to the audience that the brand is actually pitching to.

• 4:28Speaker 00

  And if I'm Puma, when I logged into dresma.com, will I effectively see all of my products with basically all the related metadata and the variance on that metadata for certain geographies and product lines and human models?

• 4:41Speaker 01

  Yeah. So basically, currently, we are integrated with Amazon Seller Panel as well as a couple of different PIMS, so that you can actually pull your data directly from those sources. And we essentially have built a profile of your brand and are able to track what kind of content is working for brands like yours in different markets. So then we use that intelligence to be able to better advise the brand as to what kind of content they should be creating.

• 5:12Speaker 00

  Let's shift to pricing. I either see people charging five bucks a month and they want a million customers, or they don't even show their pricing and they want 10 customers paying 5 million per year. You do both. You've got $5 over here and enterprise, let's talk over here. What's the model?

• 5:27Speaker 01

  So essentially, we are on a usage fee basis. So depending on how much content you're creating, that's how much we charge you. And essentially, the customization of the platform comes with usage. So as you're actually coming in, signing up and creating content, that's how we learn more about your brand and what kind of content works for you. And then the platform customizes by itself. So there's no cost to the usage of the platform itself. Essentially, it's just the content that you're creating. So basically, it's a usage fee for that.

• 5:59Speaker 00

  Yes or no, do you upsell based off number of seats from the Puma marketing team?

• 6:04Speaker 01

  No, so essentially it's just the quantum of content that you create.

• 6:08Speaker 00

  Okay, and last question here, true or false, you don't charge for product-based upselling, just usage?

• 6:14Speaker 01

  Yes, just usage.

• 6:16Speaker 00

  Okay, very cool. So very focused on usage. You can see sort of how those credits work right here. Siddharth, I'm going to force you into an average here, which I know engineers never love, so bear with me, okay? If I forced you to tell me, on average, what does a customer pay you per month or per year? What would that dollar range be?

• 6:35Speaker 01

  For a year, it'll be about 60K.

• 6:38Speaker 00

  Okay, you answered that fairly quickly. What does that mean in terms of total credit consumption for that 60K?

• 6:44Speaker 01

  So 60K essentially, in our platform, is 60,000 credits. It's the dollar of credit, pretty much.

• 6:51Speaker 00

  One-to-one.

• 6:51Speaker 01

  On that. Yeah, it's one-to-one. So only when you get into very high quantum consumption, so upwards of, say, $200,000, $300,000, do we discount on the credit pricing.

• 7:02Speaker 00

  Okay, okay, that makes a ton of sense. And give us the backstory. Now that we understand the pricing and the product, what year did you launch the business?

• 7:10Speaker 01

  So the business was launched in the summer of 2020. So we started off with essentially automating all the workflows that happen after photographs get shot in a studio. So essentially started off there. So we built a whole bunch of image processing algorithms that automated essentially what people would be doing using Photoshop. So that's where we started. So we have a very strong core expertise in image processing and understand what kind of images work for brands. And then over the last year and a half, two years, obviously, we sort of adopted all the new AI tools and essentially built that whole creative imagery layer on top of the image processing expertise that we have.

• 7:54Speaker 00

  And how much did you spend to launch the business?

• 7:58Speaker 01

  From a tech investment. So I mean, in terms of total capital raised so far, we raised $3 million and we are about a revenue of just under $2 million right now.

• 8:09Speaker 00

  Well, that's great. Okay, so you're at $2 million right now here in December of 2025. And where were you exactly one year ago?

• 8:16Speaker 01

  We were at about 1.3.

• 8:18Speaker 00

  One point. Are you happy with that growth?

• 8:21Speaker 01

  Not really. I would have had, I would have liked a little bit more than that, but what we've seen, I mean, I think with a lot of different AI or generative AI companies is that there's been a lot of sort of POC work this year, not a lot of, you know, actual production. So that's changed in the last couple of months. We're actually seeing a lot of brands now adopting AI-generated content for their bulk workflows, for their, actually their core, core business as well.

• 8:51Speaker 00

  Guys, remember, I am not just a YouTuber. I'm investing in my third fund. We've deployed $250 million into 550 software companies so far. Again, at FounderPath.com, if you're interested in capital, I would love to cut you a check because I know you're investing in your education. You watch my show. So sign up at FounderPath.com and when you get the onboarding email, I reply and I see all those. Just reply and say, Nathan, I found you through YouTube and I'll make sure to prioritize you. I would love to cut you a check. Check out FounderPath.com. And so you're doing 2 million of revenue right now. How many total customers are paying?

• 9:25Speaker 01

  We have about 27 or 28 different customers.

• 9:31Speaker 00

  Okay, and don't name them, obviously, but what does your largest customer pay you today?

• 9:37Speaker 01

  Just about half a million dollars.

• 9:40Speaker 00

  Okay, that's, that's pretty impressive, right? To be at 2 million of revenue, you've now proven that there is a usage-based upsell enterprise model where you can expand those accounts to half a million per year. That must get you excited.

• 9:52Speaker 01

  Yeah, yeah. So we have two kinds of customers, Nathan. So we work directly with the brands, but we also do work with aggregators. So we have partnerships with studios where we co-sell a solution to brands. So a lot of brands still need the, the, the product photography done. So they get the studio to actually do the product photography and then they use our AI algorithms to then transform those images into model imagery, lifestyle imagery, videos and all sorts of different workflows after that.

• 10:22Speaker 00

  Give me the URL of an example studio you work with. That's one of your good partners.

• 10:26Speaker 01

  So we are at, we work with ePhoto in, in Italy. So ePhoto works with most of the large luxury brands in Europe. So they do photography for them and they're using our.

• 10:40Speaker 00

  Is this, is this, this is their studio, something like this?

• 10:43Speaker 01

  Yeah, yeah.

• 10:44Speaker 00

  Is this their website?

• 10:46Speaker 01

  Yes.

• 10:48Speaker 00

  Okay, so now that my audience is seeing this here in their YouTube recording here, explain your go-to-market again on how you work with them.

• 10:56Speaker 01

  So we work, so essentially if you look at somebody like, for example, we did work with Champion recently, there's actually an ongoing project. So for Champion, essentially what ePorter does is essentially does flat lay shoots of all their products. They use our workflows then to take those flat lay shoots and convert them into model images, into videos, into lifestyle, location imagery. All of that is done using our AI workflows. The initial photography is done by ePorter.

• 11:25Speaker 00

  I see, I see, I see. It's almost like when we're building synthetic models to train, to train the foundation models, basically you are the data input, you are the, you know, they are, sorry, they are the raw input, right?

• 11:36Speaker 01

  They are the raw input, yeah.

• 11:38Speaker 00

  You're then generating synthetic data on top.

• 11:41Speaker 01

  Exactly. So if you look at the, if you look at what we have where AI can really help, I mean, you know, the product still is unique to the brand. It has very unique characteristics. So the AI can't really generate the original product itself. So that really needs still a good high-quality image to get started with. And then you can take that image, then then adapt that into all sorts of different outcomes.

• 12:05Speaker 00

  So let me ask you a question. How much of your revenue growth would you say has come from this partnering with Studio Strategy?

• 12:11Speaker 01

  So currently about, I think 50 or 55% of our revenue comes from that, from that channel. We have studio partners in Western Europe, in Germany, in France, in Italy, as well as in a couple of them in the US as well. So we are geographically diverse when it comes to partnerships that you've established in all of our major markets.

• 12:36Speaker 00

  So true or false, you've scaled to, from a million to 2 million of revenue over the past 12 to 18 months, 50% of that growth has come from partnerships?

• 12:44Speaker 01

  Yeah, yeah.

• 12:45Speaker 00

  Okay, cool. Any other growth channels you're using to scale? I notice in your footer, you're investing in these tools and these can sometimes do really well for SEO and LLM, sort of programmatic SEO optimization. When we go look at your actual traffic hitting your website, that free tool strategy brings in about 4,300 clicks per month. Is that intentional?

• 13:05Speaker 01

  Yes, so we do use, essentially for that, that's really a lead generation channel for us. Effectively, that gets people to come in, try out the technology, make sure that, you know, the core AI is there. And then we work with the brand essentially to upscale, upsell and essentially get the platform adopted.

• 13:27Speaker 00

  Yep, this is a huge, guys, all of you watching, you should copy what Siddhartha has done for your own industry or niche, right? Which is make these free tools with very little friction in your footer. It's an SEO play, invest in the SEO all the way down the page, so it pulls in free traffic, right? And these are basically just small components, Siddhartha, of what your larger product does once they actually start paying.

• 13:47Speaker 01

  Exactly.

• 13:48Speaker 00

  This works well for you. Your top performing one is your HD photo converter that's representing almost 50% of that total traffic. A lot of people, Siddhartha, will say, yeah, Nathan, but this traffic doesn't convert. How would you respond to that? You're seeing the data.

• 14:01Speaker 01

  So essentially, what that does is it allows us to get, allow the customer to have a small foot in our door, right? So it just gets us, gets them onto our website, gets them aware of the solution that we are offering. Essentially, these are typically, the way we sort of choose these keywords are typically sort of small wins that the marketing team or the studio team is looking for. So they may have a bunch of images that are of the wrong format and they need them changed and they need them done quickly. So just this gives them a quick salute, quick win, so essentially come onto our platform and this socialize, allows us to socialize the solution with them.

• 14:43Speaker 00

  Are there any other growth channels you use to add over a million dollars of revenue over the past, you know, 12 to 24 months?

• 14:51Speaker 01

  So we essentially have done quite a bit of outbound work over the last year as well. So essentially a mix of email and LinkedIn outreach. So we essentially have an organization platform that we built using some of the data enrichment tools out there to be able to essentially reach out to these, to our target audience in a very specific way.

• 15:18Speaker 00

  So explain that tech stack to me with this graphic Siddharth. This is a graphic of the 33 growth tactics CEOs tell me over and over. You're talking about account-based marketing here. You already educated us on how you're doing programmatic SEO with free tools. And you already educated us on how you're working with sort of these value-added resellers or partners with the studios. You're also using the ABM. So teach us here. You've just broken $2 million of revenue. What does your ABM stack look like? What technologies and tools are you using here?

• 15:46Speaker 01

  Essentially for the actual reach out and sequencing, we're using smart leads. We pair that with a sort of an add-on orchestration tool that we sort of built in-house that helps us do sort of LinkedIn automation as well. For the data, we use Apollo and Clay as enrichment tools. So essentially Apollo is the data source and Clay is the enrichment tool.

• 16:14Speaker 00

  So this site, Smart Lead, right? Plus Apollo, plus Clay, plus some custom stuff you built in-house. That is your ABM strategy?

• 16:23Speaker 01

  That's true.

• 16:24Speaker 00

  Of the $1 million of new revenue you added in the past 12 months, how much has come from ABM?

• 16:30Speaker 01

  That would be about, I would say, 30 to 35%.

• 16:36Speaker 00

  That's a big chunk. What's your team size today and how many are dedicated to sales and marketing and outreach?

• 16:42Speaker 01

  The total employee count at the moment is 31. In terms of sales and marketing, we have five people right now across sales and marketing.

• 16:55Speaker 00

  And for folks that are also around $2 million bucks of revenue looking to scale and they're watching this and they want to say, well, wait, Nathan, how did Siddharth structure those five jobs? What are they? Are they all SDRs, AEs? What's the mix? Who carries a quota?

• 17:07Speaker 01

  So essentially, currently there are two AEs. We don't have SDRs at the moment. We have two AEs and we have three people that are two and a half people looking at marketing right now.

• 17:22Speaker 00

  Okay, so three marketing, two AEs. When you hire your first AE and you're a seasoned entrepreneur, you've sold to other companies, right? What quota do you give that AE when they start?

• 17:33Speaker 01

  So we're looking at starting out with an AE, in the first year, we would look at spring, somewhere between half a million to three quarters of a million dollars worth of revenue.

• 17:46Speaker 00

  Okay, that's their quota target. And generally speaking, and don't reveal actual salaries and names, but generally speaking, for an AE, when you hire them at your stage, what's the base you're gonna pay them?

• 17:56Speaker 01

  So currently, actually, our AEs are based in India. So we've actually had very sort of capital efficient that way. So our costs are actually very low. So we're essentially selling out of, almost the entire team sits out of India right now. All of our tech development happens out of India. So we actually have a very low cost base when it comes to, to be there.

• 18:18Speaker 00

  Those two AEs and three marketing, those five on sales and marketing in India, which city? Chennai, Bangalore, somewhere up Mumbai?

• 18:25Speaker 01

  Here in, near Delhi, in Gurgaon.

• 18:29Speaker 00

  Okay, Delhi, interesting. So are they, are they totally commission based? Or do they have any base salary at all?

• 18:34Speaker 01

  No, we have a salary plus commission.

• 18:37Speaker 00

  Okay, so base, is it fair to say it'd be under $20,000 per year, 20,000 USD?

• 18:42Speaker 01

  The average of the two would be 20.

• 18:45Speaker 00

  Okay, so guys, there you have it. There's another good data point for you. Interesting. Are those people, say Nathan, I can't have AEs in India selling to big Puma companies based in California? Is that true or false, based off your experience?

• 18:58Speaker 01

  That's false. You can have people based in India sell to large enterprise US customers. You do need some face time. So myself, my co-founder and the salesperson at times will be traveling to the US and Europe. So those are seasonal or periodic trips that we make to make sure that we are in front of our main customers as often as we need to.

• 19:22Speaker 00

  And Siddharth, so as we sort of wrap up here, I want to spend one or two minutes on fundraising questions and one or two minutes on where you see your product and your space going before we wrap. So on the fundraising, you raised three million. When was that round done? Was it all one round?

• 19:36Speaker 01

  This was a seed round. That was the only external capital we raised that was done at the end of 2021.

• 19:45Speaker 00

  Okay, so three million seed and was that a traditional safe?

• 19:49Speaker 01

  That was a price round.

• 19:52Speaker 00

  It was priced. Okay, look, I have to ask this. What was the valuation?

• 19:56Speaker 01

  At that time, we did a post-money of 10 million.

• 19:59Speaker 00

  Okay, how did you defend that? People will say, wait, it's pre-revenue. There's not even one customer yet. How's he getting the 10 million valuation?

• 20:05Speaker 01

  At that time, we did have revenue. So we were at about book revenue of about 400 or 150 at the time.

• 20:14Speaker 00

  Okay, so you use that traction to help defend the post-money. Did you rely on your past companies that you were at as well? You had some cachet there, some experience?

• 20:22Speaker 01

  Some experience there. Plus, I mean, both my co-founders have very deep expertise in e-commerce, especially content for e-commerce. They come in with, basically, they used to run studios for large e-commerce enterprises in India as well as doing post-production work for large studios in Europe. So they come with deep expertise in the vertical.

• 20:48Speaker 00

  And are you default alive today? In other words, are you profitable?

• 20:52Speaker 01

  So we, last quarter was our first profitable quarter. So we are profitable now.

• 20:58Speaker 00

  Congrats. That's exciting. How low at any point in time did the bank balance get before you turned profitable?

• 21:04Speaker 01

  It was tens of thousands of dollars.

• 21:08Speaker 00

  How did that feel? Were you nervous?

• 21:11Speaker 01

  It's very nervous. But I mean, I've run bootstrapped businesses before, so I know how it goes. So it's okay. Obviously, you know, as they say, cash is more important than your mother. So it's important to keep an eye on it. But you have to stay a little bit conservative in those times.

• 21:35Speaker 01

  We were very confident of the business and the value we were bringing to our customers. So we didn't really have, I mean, I wasn't that nervous.

• 21:44Speaker 00

  Yeah, very good. Well, hey, take us home here. We're on dresma.com right now. The headline says your visual AI content creation engine. You know what products you're building for the next year. If I refresh this a year or two years from now, what's your headline going to say?

• 21:58Speaker 01

  It's going to be, essentially, we'll be substituting digital marketing agencies. You won't need digital marketing agencies anymore. You'll essentially be coming to us and we would essentially create your entire content plan, whether it be for whichever content channel you need to reach your customers.

• 22:16Speaker 00

  Guys, there you have it from Siddhartha Sina, launched back in 2020. Did his three million pre-seed to 10 million post with $400,000 of revenue back in 2021. Fast forward to 2024, they broke $1.3 million of revenue. And this year in 2025, they're finished here in December with $2 million of ARR, 28 paying customers, 31 team members, profitable in Q4, which we love. And get this, they've upsold against their usage-based pricing model, where their largest customer today is paying $500,000 per year. He's on to something, but it wasn't all easy. His lowest bank balance as he was building was in the, quote, "tens of thousands" before he turned profitable. Now reinventing the visual AI content creation space,

• 22:59Speaker 00

  specifically for e-commerce brands that need to put the same shoe in six different languages with several different models on a thousand different websites. Check it out at dresma.com. Siddharth, thanks for taking us to the top.

• 23:11Speaker 01

  Thank you, Nathan. We talk to you.