StudioVerse. Agentic Production Infrastructure for Marketing Agencies

Introduction

Hello everyone, thanks for attending this presentation. I hope you have enjoyed your day and I will be talking about StudioVerse. I'm Masoud, CEO and co -founder of StudioVerse.

If you want to try our platform you can go in your mobile phone studioverse .io and give us your great feedbacks. So you can order or create your business videos.

The Problem and the Opportunity

So what is StudioVerse? StudioVerse is agentic production infrastructure for marketing agencies.

Market context: business video at massive scale

So last year almost one year ago we started by building the gen AI video creation tools and then we went with like we produce it to market and we saw our customers they face few challenges before going to the what are the problems I want to share some stats about the business videos in US and

in Canada there are 150 million business videos produced and published every month. It is roughly 5 million per day in the US and Canada. So it's a big market and Gen .ai is disrupting this market.

Pain points: quality, fragmented tools, and slow hiring

So creating videos has become less expensive but still there are some challenges with all the AI slop if you have seen in the social media the one thing that audience and the business owners are hating or suffering or complaining is the low quality of those videos specifically

to marketing agencies they also suffer from unreliable systems so one day mid journey comes with providing best image generation, the other day Sora comes, the other day Eleven Labs comes. So having this fragmented tools makes it almost impossible for

marketing agencies and business owners to keep up with the best tools in the the market. Another pain that our customers or the users that we talk, they mention is

if they want to hire someone from Upwork, from LinkedIn to do their business video creation, it is usually expensive and it is time consuming until you find the right person, right talent to create those high -performing videos for you and the whole process is slow typically takes seven days or two weeks to get a high -performing business video

StudioVerse: An Agentic Production Platform

we have solved this so in the next slide I will be talking about how we have solved this we have solved this one with three main products we started as I mentioned in the beginning of the presentation with production engines we are bringing

Production engines: best-in-market models in one place

image video text and audio engines plugged in into our system so our users and customers they can get best stuff every tool that is released in the market that's the production engine component

Collaboration layer: version control and review workflows

Then we realized that business owners, they need some place to do the version control for their videos, commenting on them or asking the creators in order to fix some of the edits. So that's the collaboration infrastructure that we have built for the teams. It is similar to Figma, if you have used Figma, it is similar to Figma for version control, for collaboration with your team production team and this year we

On-demand marketplace: order videos and get them delivered fast

launched our product for on -demand services infrastructure we call it DoorDash for ordering your business videos so if you have if you go to studioverse .io you will see that you can order your business videos and they They will be delivered to you within one day.

It is free for the first sample. If you like, you will be paying the creator on the other side of the marketplace in order to remove their watermark. So everything happens in one platform from the demand side and the supply side.

Customers, Traction, and How It Works

Two-sided marketplace: business demand and creator supply

Who we are serving? We are serving both sides. the demand side were mostly the business owners entrepreneurs and local businesses who want to order business videos this is the demand side for the

business videos on the other side there are creators and the artists who are working on these to earn from their creation and also use the tools inside the platform in order to increase their productivity.

Launch and early growth metrics

We launched our main version in October and we started by focusing on the demand side in order to bring as much as possible the business owners, marketing agencies inside our platform to be able to create their videos.

So we have grown rapidly over the past six months is almost doubling months after months for our active users and monthly recurring revenue currently it's around twenty thousand thirty thousand uh in march and we had revenue and uh we had six thousand to seven thousand months the active users and this is growing

1we have decided to slow down the growth because some of the pieces in our platform needed more like tech migration, in order to be able to scale over the next three months. So I'm happy to discuss the technical challenges that we have faced, if it might be helpful for your challenges or your journey as well.

End-to-end workflow: from brief to storyboard to delivery

so here is our agentic video creation and ordering process that our customers they can put their video description or project brief and it is going through creation of the storyboard audio images for your business video and the business videos can be product demo advertisement

and if business users they need artists help if they are not satisfied with the quality they can hire the certified artists within the platform so this helps them to don't worry about like going to for example Upwork, Fiverr or

LinkedIn because that process is painful in different areas slow costly and it is basically yeah it is not reliable it shows I'm Windows person sorry no so the

Go-to-market: how customers discover and buy

The next one, it's mostly on the market that we talked, and how business users, they find us. They find us on social media.

They go to our website, and then they book a demo, order some videos, and then it goes to the process process of making the contract with the artist inside the platform.

Positioning: integrating with existing GenAI video tools

So one of the questions that talking to mostly to the investors, we face is there are so many platforms and tools for gen AI for video creation.

And one of the things that is visualized, the space that we are building is the customer type that we are serving.

So you have heard probably InVideo, Runway, Hagen, Synthesia, recently Hicksfield. Most of those platforms are our partners in terms of they have their presence inside our platform.

one and by bringing them inside our platform we are able to help marketing agencies to scale their production and also help the artists in order to have all the best tools possible in one platform so we are building the

infrastructure that most of other tools they can integrate with our system and we also can be a good platform for them for customer acquisition and this is the

Team and Closing

co -foundering team I'm Masoud, Shahed is leading our product and Arash is leading our technology team.

Thank you so much, I would be happy to answer if you have any questions.

Audience Q&A Highlights

Key differentiator: storyboards as the contract

That's a great point in terms of the differentiator. So one of the things that I mentioned that we integrate Sora, Gemini, Veo, everything. Those are creating assets. So five second, five second, five seconds.

1And to your point, one of the most important pieces in our platform is the storyboards, which is a contract between the business owner. when I'm saying business owner I'm referring to the users customers that they are ordering the videos so this is storyboard is the contract between the video owner and video producer so

it's for example we have customers who are ordering 45 minutes cinematic video to participate in festivals so how they are producing it is based on the storyboards and they are sharing with the production team so the artists in the platform they can go five

minutes five minutes one minute one minute and then they can have version control inside the platform commenting version control everything based on data storyboards that's a great question in terms of how we how we have a scale so So far, that's one story.

How we will be scaling moving forward, that's another story.

Scaling lessons: feedback loops and tech stack migration

So far, what we have done is we launched our product last June when it was almost nothing. So it's buggy and all those problems that we all know.

And then we created this feedback loop from the customers, that from outbound from from mostly outbound we created this feedback loop and asked about what is their pain that other platforms couldn't solve this helped us to get to the tech roadmap for the next month so going from 10 users to

100 users each month created a tech roadmap for the next month that was our success story over the past six months. We reached a point last month that our

main tech stack, if you're in the tech and the architecture microservices versus monorepo, our tech stack was 20 microservices and we couldn't scale more than like 100 users when the feedback loop came. So we are

doing this migration of going to cleaner, simpler tech. So our rate of iteration goes from one release per month to one release per day. And this has helped us to go back to a scaling mode again.

Market focus: marketing agencies and spend dynamics

So typically it is marketing agencies that they spend on a monthly basis more than one thousand dollar on content creation so typically they are either spending one thousand dollar to five thousand dollar per month

on video creation and there are hundred fifty thousand marketing agencies in the U .S. that they create this high volume of business videos for brands that they're managing their marketing.

Yes, please.

That was a painful process.

Go-to-market learning: pivoting ICP from creators to agencies

So last year, June, we wanted to raise some funds from VCs, from angel investors. And we were building totally different application at the time, one year ago.

we started by going towards the creators and then we realized that our speed of development is much slower than the speed of development of other competitors who are in the market two years who started this journey two years before we started like Hicksfield, Heijer so we realized that so that this is not the competition we can win we went one level higher to business owners we talked to local businesses

small business owners again we had some pains in that area because small business owners and they're in the middle they're not creators and they're not marketing agencies they don't want they don't have the budget to pay for something that is not well now so they are not first adopters so it was a painful process for us to learn that these are

not our ideal customers if we went one level higher to marketing agencies and experimented and we saw huge opportunity because marketing agencies they are managing 10 brands They are producing hundreds of videos on a monthly basis, recurring, they have the budget because their business relies on this high volume of high performing business video creation. That was our journey moving from creators to business owners to marketing agencies.

Yes, please. Yes, please.

What’s proprietary: storyboard intelligence from unique data

That's a good question. So this, it is almost impossible for startups to build their own models without using the other super amazing models, foundational models, and they're improving every week, every month.

But there are some areas that we can build our own models based on our unique data that no other company has. The storyboard is one of them.

So we have, since we have created 1 ,000 business videos over the last six months, more than 1 ,000 business videos over the last six months, we have that data. We know like what a storyboard works, what a storyboard is a slug.

We have experimented multiple times like this one generates no leads for business. this is a storyboard, but this storyboard is killer, is virality score is higher. That's where we have built this basically

like video intelligence that is in -house based on the proprietary data that we have. That is for evaluating of the storyboard. So there are two models that is not very expensive that we have built in -house. the other others are we are using third -party.

Multi-engine continuity: consistent assets across tools

Do you have features that leverage your product being multiple engines? For example, do you have a feature where you can have continuity from one engine to another and have character in one style?

Yes, so since assets are managed in one place, for different engines, even if it is an image engine and a video engine, multiple engines, they have access to the same assets as a context. So the recent video generator AIs, they take input frame or first frame and last frame. So if you have everything in one platform, managed by one platform, you can have this continuity with your production.

Yes?

Please. I have a question. I think this question is not technical. So that's two questions.

That's three questions. Okay. Okay.

Pricing and operations: subscriptions, credits, and creator vs business plans

So the first question is I looked at the website. So the first question, yeah. You said that the marketing agency is the main customer. So the small businesses or individuals are not the main customer, correct?

So in this case, at the website, anyone can purchase monthly subscription. So you mean, the first question, how you spend individuals or small business owners? This is the first question.

And the second question is, when customer purchase the subscription using the credit, how can customer know it is using the real human creators or AI and for example I have 900 credit so this 900 credit is only for AI or only for creators or what like how that works and the third question I think the third question is

so the monthly fee is really low so what if customer purchase one to two months and then completed everything and then start?

These are all great operational questions that I myself three months ago didn't know that we don't know. So these are great questions that is helping us to experiment, iterate, and grow.

So the first question was marketing agencies versus small businesses. So if it was three months ago, we were looking for small businesses and then we were not that successful and we saw the opportunity for marketing agencies.

So there are some legacy in our, might be in our landing page, might be in our app that is going back to the time that we were chasing the small business owners.

The second question in terms of the credits that they are spending, that's almost a similar story where previously we had subscription models because my background is tech and I have researched the startups and this mentality of subscription was the default mentality mentality for myself and our team but it was not the right mentality for our ICP's

Ideal Customer Profiles which are marketing agencies or small businesses they want to...

Sorry, I didn't get it. So my second question is, using those credits, those credits are for AI creators or real humans?

So we have differentiated the two parts. If you want to create your own videos you will be only paying for the AI's inside the platform so there are two types of the subscriptions creators and business subscriptions creators

they're only there for only using the AI's the business subscriptions they're there to ask artists inside the platform and transact the credits to order their videos how they know how much is built by AI and how much by human because they have interaction with real human so the artist they have a real profile verified

and they're communicating inside the platform for that with that artist

So, from my understanding, if the people using the creator plan then will not interact with artists. If the people using the business plan will interact and spend the credit. Exactly.

So, for the AI part, he or she doesn't need to pay credit, correct? For the artists, no. No, so the credit will be saved. So, zero credit.

So, let me simplify it. We have $9 plan and we have $99 plan. $9 plan, it will show you how much credit you have spent on engines.

If you need more engines, you will pay as you go. $99 plan is for business customers.

They can put the orders and they know in advance that which artist, real artist, will do this work for $50, the other artist will do it for $80. I will be deciding to get my credits to this artist or that

artist.

So both models, people still use credit? Yes, yes, please. Yes.

Large productions: studios, teams of artists, and long-form projects

Maximum size of the video the length of the video so we have one interesting producer from hollywood joined last month that is working with a studio who is specialized in cinematic video production i cannot share more about like the what are the details or the

like how big of the project that one is but it starts by scripts or storyboards that the director or producers shares with the studios that's more than one artist so that's where we have built this studios product which is a group of artists with a studio manager so each of these artists they have different specialties and the studio manager managing the entire project so it happens milestone by milestone so over the for example the span of two months this producer Hollywood producer will be producing 45 minutes of video with the help of studio which is a team of artists

Character consistency: current limitations and practical expectations

Okay, and then somebody asked here, if you create some characters with AI, can you keep consistency? Let's say if I create some characters, three, four, five people, can I keep the same along the video? It should be. That's the standard or requirement for business videos.

those. If audience feels that this is AI or the character is not consistent they will reject it so that's where it has to be the consistent character.

set up in the room. Is this consistent? Oh, so you're referring to some bugs in video generation by AI? Yes.

So all I can say, so I'm not very expert in those, the artists are much better than me answering that question. but all I can answer is it might be facing that issue if the best models in the market cannot resolve it and the best artists in the market cannot use

those assets to resolve somehow that problem so if it if it can it can't be be resolved by artists and the best models in the market then our platform is updated with the best artists and best tools so you can get that video if it is not today maybe six months from now that problem will be solved it's a major problem

So it's changing every month, so we are experimenting again to see which one is good for our ICP.

Evolving monetization: moving from subscription to membership

The answer that I was talking to the gentleman was, we are trying to move away from the subscription. that that is not the right way of like building partnership with our customers the customers they want to purchase certain milestone they don't want to commit to subscriptions unless they see the value with the subscription that they go they save some money with their subscription

that's we have shifted away from subscription to membership so if your video is like let's say two -hour video you want to create you put your order without paying like let's say $2 ,000 and you find the best studio that can produce for your two -hour video and you pay as much as you want if you want to subscribe you get discounted so our plans are $9 to $900 $99 is the starting plan for the ordering your videos.

How much? $99.

And can you give me more details about that producer that you sent from Hollywood, so is he building movies on your platform? Yes, I can share the details after the talk. Thank you.

Final wrap-up

for sure so I think we are just short time sorry about that thank you so much

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