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10 Best MVP Design Agencies for Startups That Just Raised - August 2026

The round closed, a clock started that nobody set on purpose, and the first ninety days decide what the rest of the money buys.

Siddarth Ponangi

Founder, Studio Maydit

Design partner for AI companies

We design products and websites for AI companies that help them look and feel like a category leader.

The best MVP design agencies for startups that just raised in 2026 are Studio Maydit, Fantasy, SuperSkills, Clay, Phantom, Foundey, BX Studio, Trueform, Feels Like, and Feely Studio. Studio Maydit and Foundey lead for this brief, because both can start on a first product surface without a long discovery stage, and Foundey names Traycer and Sero AI, which are companies at roughly the point you are at now. Feels Like and Feely Studio are the wrong fit here, since Feels Like is a craft practice built around large consumer names, and Feely Studio runs at one to ten people, which is thin for a company that has to build and hire in the same quarter.

Money arriving is the least informative thing that will happen to your company this year. It confirms that a story persuaded people. It says nothing about whether the product works, and it starts a clock that nobody sets deliberately.

That clock runs about eighteen months, and the first ninety days of it decide most of the rest. In that window you announce, you hire, and you either put something real in front of strangers or you do not. Teams who spend it planning arrive in month four with a larger payroll, a longer roadmap, and exactly the evidence they had on the day the wire cleared.

Something else changes overnight. Before the round, you decided what finished meant. Now there is a board, a deck, and a set of numbers written into a memo you may not have read closely. Minimum stops being a judgement you make alone and becomes a thing you negotiate.

Then there is the announcement. It is the largest amount of attention your company will receive for at least a year, and most teams aim it at a waiting list, because the product is still six weeks out. That attention does not come back.

The ten studios below are ordered by how well they serve a team with new money, a short window, and nothing shipped yet.

Most AI products look the same. Yours doesn't have to.

How we picked these agencies

Five checks, chosen for a buyer spending new money against a short window:

  1. Platform depth. Can the studio carry you from nothing to a working product surface, or does it stop at screens your engineers then have to interpret?

  2. Proof with funded teams. Is there published work for venture-backed companies that had a board and a date, rather than only established brands under no such pressure?

  3. Pricing. Is a starting figure published? Having money makes this easy to skip and no less useful, because a studio that publishes one is used to being compared quickly.

  4. Team shape. Is there senior capacity free this month? A start date in October is the same answer as no.

  5. Their own site. Does it show a first version of anything, or only finished work presented at its best?

Put extra weight on the fourth check. Availability decides the next three months, and it is the point a studio will be vaguest about, because turning away new money is hard. Ask for a real start date and the name of the person on the project, and read a range as a polite refusal. Read their own website closely too. It is the ceiling of what they will build for you, since nobody was arguing about the budget on that one.

None of the rows below have been estimated. Each records what a studio has chosen to publish, and where nothing has been published, the table says so.

What goes wrong in the first ninety days after a round

Three failures, and the first arrives dressed as ambition.

The round buys scope instead of speed. The constraint doing all the useful work was never taste or talent. It was having no money. Remove it and the plan grows, quietly, one defensible decision at a time, until the first version has an admin view, three integrations, and a spring launch date. Fix the timebox rather than the budget. Write down the date real users touch it, treat it as immovable, and argue about everything else underneath. A funded team that ships in ten weeks learns something. One that ships in seven months has bought a longer wait at a higher price.

The announcement points at nothing. The press goes out, the traffic arrives, and the page it lands on collects email addresses. Six weeks later the product is ready and the audience has gone. Decide what the announcement points at before you agree the date. It need not be the whole product. A narrow thing one type of person can use today beats a complete thing nobody can see, because that week is the only free distribution you get.

The build waits for people you have not hired. Roles open in week one, because that is what the money is for. Then the first designer starts in month four, and every real decision has been deferred out of respect for somebody who is not there. Get the first version in front of users now, with whoever you can bring in this month. Let your first hire arrive to something real to argue with. Joining a company that has shipped is a better offer than joining one that has a plan.

Tell us what you're building

1. Studio Maydit: A Top-Rated Design Agency for AI Founders

Three to four weeks is what a fixed scope runs here, and on this brief the number that matters is the calendar rather than the invoice. Studio Maydit works that way for teams with a date, and closes each one with a diagnosis of what is leaking in the product rather than a handover email. Teams whose work does not stop at launch take the monthly retainer instead, which covers new pages, campaigns, and product design and carries no long lock-in.

It is a web and product design studio. Its clients are AI founders in the US, UK, and Europe, and the build happens in Framer, Webflow, or custom code depending on what the thing has to do. The studio stays on for product design after a site ships, which is the useful half when the site and the first version of the product are being made in the same quarter.

Only Dualite carries a checkable number. A repositioned ICP, design work rebuilt to match it, and 100,000+ users seven months later. Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams hired the studio recently.



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

Newly funded teams who need something live this quarter

Sensible hour to spend if the money landed last month and nothing is in front of users yet. Book a 30-minute call.

Tell us what you're building

2. Fantasy

Fantasy has been building software since 1999 and works across platforms, with published AI client work behind it. That length of practice is unusual on a list like this, and it means somebody there has watched a great many first versions get launched, which is a different kind of judgement from being fast.

They publish no pricing, no team size, and no client names at all, which for a team that has to commit money this month leaves very little to check before the first call.



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

3. SuperSkills

SuperSkills is a small Walnut Creek team of one to ten, working across platforms, with published AI client work. A team that size can start next week, which is the single most valuable property a supplier can have in the first ninety days after a round, and you will be dealing with senior people from the first call.

They name one client and publish neither a founding year nor a starting figure, and one to ten people is not much capacity if the first version needs two surfaces built 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 need one senior pair of hands immediately

4. Clay

Clay is a San Francisco studio of 51 to 200 founded in 2016, working across platforms, with a published minimum and Slack, Stripe, Google, Coinbase, and Amazon named. Those are companies whose products are used by enormous numbers of people, and a studio with that experience will know quickly which parts of your first version are worth building properly and which can wait.

At that scale the process is built for clients who plan in quarters, and a published minimum aimed at that market is a real number for a company that has just closed its first meaningful round.



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

Well funded teams building for very large audiences

5. 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. Building in code from the start matters when the first version is meant to become the real product, because nothing has to be thrown away and rewritten the month after you launch.

They publish no pricing, and a studio of that size running programmes for clients of that size will move at a pace set by them rather than by your ninety day window.



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 whose first version has to become the real product

Still scrolling? That's the problem.

6. Foundey

Foundey is a San Francisco studio founded in 2021, working in Figma, with published AI client work and DemandIQ, Traycer, and Sero AI named. Those three are young AI companies rather than established brands, so the studio has recently done the exact job you are buying: turning a funded idea into a first surface people can use.

They publish no pricing and no team size, and work that stops in Figma means somebody on your side has to build it, which is a real cost when your engineers are the scarce resource this quarter.



Check

Finding

Based in

San Francisco, USA

Founded

2021

Team size

Not published

Primary platform

Figma-only

AI-sector proof

Yes. Published AI client work

Named clients

DemandIQ, Traycer, Sero AI

Pricing

Not published

Best fit

Funded AI teams with engineers ready to build

7. BX Studio

BX Studio is a New York team of 11 to 50 working in Webflow, with a published minimum and Reddit, Headspace, ASAPP, and Verifone named. A published minimum is worth more than usual right now, because it lets you rule them in or out the same afternoon, and Headspace had to be understandable in the first ten seconds.

They publish no founding year, and Webflow is a marketing platform, so a first product surface would need building somewhere else by somebody you have not hired yet.



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 announcement page matters most

8. Trueform

Trueform is a Swiss studio founded in 2022 working in Framer, with a published minimum and Miro, Morning Brew, Bilt Rewards, and Gather named. Framer is the quickest way to have a real page live in your announcement week, which is often the difference between spending that attention and losing it.

They publish no team size, and Framer is not where a product surface lives, so this is the right studio for the front of the company and the wrong one for the thing behind the login.



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 with an announcement date and no page ready

9. 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 had to explain something unfamiliar to people with no technical background, a useful reference if your first version must be understood without a sales call.

They publish no pricing and no team size, and a practice built around large consumer brands is aimed at a different job from turning a funded idea into a working first version quickly.



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

Consumer AI teams who need craft above all

10. Feely Studio

Feely Studio is a distributed European team of one to ten, working across platforms, with a published minimum and Noxus, Mutiny, Luasai, and Basic Capital named. The published figure and the small size mean a fast, cheap start, which suits a team testing one narrow idea before committing the round to a direction.

They publish no founding year, one to ten people cannot absorb a build and a hiring push at once, and European hours give a US team a short overlap in a quarter where decisions need same-day answers.



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

European teams testing one narrow idea cheaply

How to choose between them

Sort by what the next ninety days actually have to produce.

Something real in front of users this quarter. Studio Maydit or Foundey.

A page ready for the announcement date. Trueform or BX Studio.

A first version that becomes the real product. Phantom or Clay.

One narrow test before you commit the round. Feely Studio or SuperSkills.

One test before you sign anything. Ask each candidate what they would cut from your plan to have something live in ten weeks. A studio that has worked with funded teams will answer immediately and name specific things, because they have had the argument before and know which removals are survivable. A studio that says all of it is important has told you it intends to build whatever you ask for, which is exactly the failure a round pays for.

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