Reading time:
14 min read
Last updated:
10 Best MVP Design Agencies for Series B AI Startups - August 2026
At Series B an MVP is not your first product. It is a second bet made by a company that now has something to lose, and that changes everything about how it should be designed.
The best MVP design agencies for Series B AI startups in 2026 are Studio Maydit, Kvalifik, Trueform, Clay, BX Studio, Feely Studio, Feels Like, SuperSkills, Phantom, and Fantasy. Studio Maydit and Clay lead for this brief, because both have worked with companies that already had revenue to protect, which is a different problem from designing a first product. SuperSkills and Feely Studio are the wrong fit here, since both run at one to ten people and name few or single clients, and a Series B second product usually needs more parallel capacity than that in its first quarter.
There is a specific trap that catches companies at this stage, and it is caused by success rather than by failure.
You raised a Series B because the first product worked. Now you want a second one, and everyone still calls it the MVP, using the word they used three years ago. Nothing about the situation is the same. Last time you had nothing to lose and nobody watching. This time you have paying customers, a brand people have opinions about, and a roadmap that is already full.
So the first thing that happens is over-building. Nobody wants to put a rough thing in front of customers who currently think well of you, so the minimum version quietly grows a settings page, an admin view, a billing integration, and nine months of scope. It ships late, polished, and to an audience that has already stopped waiting.
The second thing is worse because it looks like good news. You launch the new product to your existing base, adoption looks respectable, and the team concludes the market is real. It is not the market. It is your customers being helpful. Genuine validation has to come from somebody who has never heard of you and has no reason to be kind.
And the third is structural. A second product staffed from the same engineers as the first one will stall every time the revenue product has a bad month, and the revenue product will have a bad month. Whatever gets built has to be separable enough to survive that.
The ten studios below are ordered by how well they help a funded company build a second thing without damaging the first.
How we picked these agencies
Five checks, weighted for a company that has already proven it can build one product:
Platform depth. Is product design the studio's actual craft, or a service riding alongside a website business?
Scale-stage proof. Has the studio worked with companies that already carried customers and revenue, rather than only with teams starting from nothing? Those engagements are governed differently and it shows.
Pricing. Is there a published starting figure, which at this stage is less about affordability and more about whether a studio is used to being compared.
Team shape. Can they field enough senior people to run a second product without your existing team being drained into it?
Their own site. A studio that has repositioned itself as it grew has been through the exact problem you are about to have.
Check two carries the most weight here, replacing the sector test a first-round article would use. Zero-to-one work rewards speed and tolerance for mess. Work inside an established company rewards something else: shipping something deliberately incomplete without it reading as careless, and knowing which corners are safe to cut in front of an audience that has expectations. Studios that have only done early work under-estimate how much a Series B brand constrains the design.
Everything recorded in the tables comes from the studios' own public material. Nothing has been inferred to fill a gap. A blank row means the studio has not said, and at this stage of company you are entitled to read that however you like.
What goes wrong on Series B second products
Three failures, and the first is caused entirely by caring too much.
The minimum version stops being minimum. It happens gradually and every step is reasonable. Existing customers will see this, so it needs to match the main product visually. Support will get tickets, so it needs settings. Finance will ask, so it needs metering. Six months later you have built a full product to answer a question you could have answered in six weeks. Set the constraint at the start in a form that cannot drift: one workflow, one customer type, one outcome, and an explicit written list of what this version will not do. Give the studio the authority to defend that list against your own team.
Your existing customers are used as the market test. They will try it because they like you, give warm feedback because the relationship is worth more to them than the feature, and adopt it at rates that flatter the deck. None of that tells you whether a stranger would pay. Design the first release so it can be put in front of people with no relationship to you, which usually means it must be usable without an onboarding call and must explain itself in the first screen. If it cannot survive that, you have not built a product yet.
The new thing shares a team with the revenue thing. Every incident, every enterprise escalation, every quarter that misses will pull people back to the product that pays. That is correct prioritisation and it will kill your second bet by a thousand small delays. The design answer is separability: a distinct surface, its own patterns where they need to differ, and as few shared dependencies as you can manage. Reuse the system, not the roadmap.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
The relevant question at Series B is who is actually doing the work, because a second product will not survive being handed to juniors. Studio Maydit is founder-led with a small senior team, and it is a web and product design studio, so a new line gets both its market-facing page and its interface from the same people.
Its clients are AI founders across the US, UK, and Europe. Framer, Webflow, and custom code are all available as build routes, and the studio stays on for product design after a launch rather than stopping at the site.
Dualite is the one engagement with published numbers behind it. The design work was rebuilt against a repositioned ICP, and 100,000+ users followed within seven months. Recent clients also include Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
A monthly retainer is the shape most funded teams end up in, since a second product generates work every week for a year: new pages, campaigns, and product design, with no long lock-in. The alternative is fixed scope, three to four weeks, for a team working to a set date, closing with a diagnosis of what is leaking in the product.
Check | Finding |
|---|---|
Based in | Remote, serving US / UK / EU |
Platform depth | Framer, Webflow, and custom code |
AI-sector proof | Yes. AI-native clients, published outcome on Dualite |
Pricing | Fixed scope or monthly retainer, quoted per project |
Team shape | Founder-led, small senior team |
Best fit | Funded teams launching a second product without stalling the first |
Worth a call if your second product keeps slipping behind the one that pays. Book a 30-minute call.
2. Kvalifik
Kvalifik is a Copenhagen studio of 11 to 50 founded in 2015, working in Webflow, with published AI client work and Veo, Maersk, and Relesys named. Maersk is about as established as a client gets, so this team has designed new things inside organisations that already had a great deal to protect, which is structurally your situation at a smaller scale.
They publish no pricing, and their primary platform is Webflow rather than a product tool, so a second product with real application depth may sit outside where they are strongest.
Check | Finding |
|---|---|
Based in | Copenhagen, Denmark |
Founded | 2015 |
Team size | 11-50 |
Primary platform | Webflow |
AI-sector proof | Yes. Published AI client work |
Named clients | Veo, Maersk, Relesys |
Pricing | Not published |
Best fit | European teams launching inside an established brand |
3. Trueform
Trueform is a Swiss studio founded in 2022 working in Framer, with a published minimum, published AI client work, and Miro, Morning Brew, Bilt Rewards, and Gather named. Bilt Rewards is a company that layered a second business onto an existing one, and Framer lets a new product's market-facing surface go live in days, which is how you test demand before committing engineering to it.
They publish no team size, and Framer as a primary platform means the deep application work still has to be built somewhere else by somebody else.
Check | Finding |
|---|---|
Based in | Wil, Switzerland |
Founded | 2022 |
Team size | Not published |
Primary platform | Framer |
AI-sector proof | Yes. Published AI client work |
Named clients | Miro, Morning Brew, Bilt Rewards, Gather |
Pricing | Published minimum |
Best fit | Teams testing demand before building anything |
4. Clay
Clay is a San Francisco studio of 51 to 200 founded in 2016, working across platforms, with a published minimum, published AI client work, and Slack, Stripe, Google, Coinbase, and Amazon named. Every one of those clients was launching new products inside a company that already had users, which is the discipline this brief needs, and at that headcount they can staff your second product properly.
They work across platforms rather than as a focused product practice, and a studio serving companies of that size sets a pace and a price that a Series B team will feel.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2016 |
Team size | 51-200 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Slack, Stripe, Google, Coinbase, Amazon |
Pricing | Published minimum |
Best fit | Teams launching a second product against an established brand |
5. BX Studio
BX Studio is a New York team of 11 to 50 working in Webflow, with a published minimum, published AI client work, and Reddit, Headspace, ASAPP, and Verifone named. ASAPP sells AI into large enterprises, so this team knows what a serious buyer expects from something new, and a published figure plus a mid-size team makes them straightforward to scope against.
They publish no founding year, and Webflow is their primary platform, which limits how far they can go into a product surface without help.
Check | Finding |
|---|---|
Based in | New York, USA |
Founded | Not published |
Team size | 11-50 |
Primary platform | Webflow |
AI-sector proof | Yes. Published AI client work |
Named clients | Reddit, Headspace, ASAPP, Verifone |
Pricing | Published minimum |
Best fit | Teams whose new product must satisfy enterprise buyers |
6. Feely Studio
Feely Studio is a distributed European team of one to ten, working across platforms, with a published minimum, published AI client work, and Noxus, Mutiny, Luasai, and Basic Capital named. Mutiny is a product built on testing what actually converts, which is precisely the habit a second product needs in its first three months, and a published figure makes them quick to evaluate.
They publish no founding year, and one to ten people cannot carry a second product and its marketing surface at the same time, so something will always be queued.
Check | Finding |
|---|---|
Based in | Distributed, Europe |
Founded | Not published |
Team size | 1-10 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Noxus, Mutiny, Luasai, Basic Capital |
Pricing | Published minimum |
Best fit | Teams who want a small group testing one idea properly |
7. Feels Like
Feels Like is a Los Angeles studio founded in 2023 working in custom code, with published AI client work and Google, Nike, LVMH, and Suno AI named. Suno AI is a consumer AI product that had to be understood immediately by people with no context, which is the exact bar your second product faces outside your customer base.
They publish no pricing and no team size, and a studio founded in 2023 has a shorter record than the others here for work that has to survive an enterprise procurement process.
Check | Finding |
|---|---|
Based in | Los Angeles, USA |
Founded | 2023 |
Team size | Not published |
Primary platform | Custom code |
AI-sector proof | Yes. Published AI client work |
Named clients | Google, Nike, LVMH, Suno AI |
Pricing | Not published |
Best fit | Teams whose new product must explain itself to strangers |
8. SuperSkills
SuperSkills is a Walnut Creek team of one to ten working across platforms, with published AI client work and The Cut named. A team that small moves without ceremony, which is useful when the whole point is to get something imperfect in front of people quickly rather than to run a programme.
They publish no pricing, no founding year, and one client name, and one to ten people is not enough capacity for a Series B company that will want two or three surfaces moving at once.
Check | Finding |
|---|---|
Based in | Walnut Creek, USA |
Founded | Not published |
Team size | 1-10 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | The Cut |
Pricing | Not published |
Best fit | Teams who want one narrow experiment run fast |
9. Phantom
Phantom works from London and Auckland, founded in 2013, at 51 to 200 people, in custom code, with published AI client work and Diageo, SAP, Financial Times, and Zendesk named. SAP and Zendesk are companies that launch new products beside enormous existing ones constantly, and writing custom code means a second product does not have to inherit the constraints of whatever your first one was built in.
They publish no pricing, and a team spread between London and Auckland with clients of that scale will run a heavier process than a fast internal experiment wants.
Check | Finding |
|---|---|
Based in | London, UK and Auckland, NZ |
Founded | 2013 |
Team size | 51-200 |
Primary platform | Custom code |
AI-sector proof | Yes. Published AI client work |
Named clients | Diageo, SAP, Financial Times, Zendesk |
Pricing | Not published |
Best fit | Teams building a second product that must stand apart technically |
10. Fantasy
Fantasy has worked from San Francisco and New York since 1999, across platforms, with published AI client work. Twenty-seven years means this team has watched many companies attempt a second act, and that pattern memory helps when you are deciding how different the new thing should look.
They publish no pricing, no team size, and no client names, which is a lot of unknowns, and a studio of that standing engages at a scale suited to companies further along than Series B.
Check | Finding |
|---|---|
Based in | San Francisco and New York, USA |
Founded | 1999 |
Team size | Not published |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Not published |
Pricing | Not published |
Best fit | Teams who want long experience over speed |
How to choose between them
Sort by what is actually blocking the second product.
Scope keeps growing because the brand has to be protected. Studio Maydit or Clay.
You need demand tested before engineering is committed. Trueform or Feely Studio.
The new product has to satisfy enterprise buyers on day one. BX Studio or Phantom.
It has to make sense to somebody who has never heard of you. Feels Like or SuperSkills.
One test before you sign. Ask a candidate what they would refuse to build in the first version, given your brand and your existing customers. Studios that have done this at your stage will name three things immediately and explain what each one buys you in time. Studios that have only done zero-to-one work will say it depends on your priorities, which sounds collaborative and means you will be the one defending scope for the next six months.
Need more info?
Can't find your answer? Book a call and let's talk.
Continue Reading
10 Best Framer Design Agencies for AI Agent Startups - August 2026
We checked 10 Framer agencies against five public criteria. Here is which ones can sell an agent that works while nobody is watching, and which ones cannot.
Siddarth Ponangi
10 Best Framer Design Agencies for Newly Funded Startups - August 2026
Your funding announcement is the biggest traffic day you will have all year. We checked 10 Framer agencies on five public criteria to see which can hit that date.
Siddarth Ponangi
10 Best Custom Code Website Development Agencies for AI Agent Startups - August 2026
Agent startups ship weekly, so the marketing site has to ship weekly too. We checked 10 custom code agencies on five public criteria to see which ones build sites a team can actually run.
Siddarth Ponangi