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10 Best Website Redesign Agencies for Series A AI Startups - September 2026
Ten studios for Series A AI companies rebuilding a site written for one product and one buyer, compared on published pricing, named clients, platform, and team size.
A Series A AI company rebuilding its site should look at Studio Maydit, Phantom, basement.studio, Fantasy, Feely Studio, Foundey, Kvalifik, Feels Like, Trueform, and Clay. Phantom and basement.studio lead this list. Phantom has worked from London and Auckland since 2013 with fifty-one to two hundred people and AI-sector proof, for Diageo, SAP, Financial Times, and Zendesk, all organisations with real approval chains. basement.studio has built in custom code since 2018 with eleven to fifty people, a published starting figure, and clients including Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI. Fantasy and Foundey fit least well. Fantasy publishes neither clients nor pricing, and Foundey delivers Figma files that somebody on your side has to build.
Your site was written when the company had one product, one buyer, and one story. It now has three of each.
That is what changes at Series A, and it happens faster than anyone plans for. A second segment starts buying. An enterprise deal arrives with a security questionnaire attached. Someone in sales builds a deck that explains the company better than the homepage does, and quietly starts sending that instead.
Meanwhile the site has acquired owners. Sales wants a comparison page, marketing wants the blog to breathe, the founder still likes the original headline, and product wants the screenshots updated. Every one of them is right, and the result is a homepage that is a negotiated settlement.
There is also a recruiting job nobody scoped. The next twenty hires will read this site before their first interview, and at Series A that audience is worth as much as the buyers.
How we picked these agencies
Five checks, all of which you can complete from public pages before booking anything.
Platform depth, judged by how many people need to publish. At Series A the site stops having one editor. Sales wants a page for a vertical, marketing runs campaigns, and someone is writing customer stories. Ask what happens when three people need to change three pages in the same week, and whether that answer involves a queue.
Proof with venture-backed companies selling to teams rather than to individuals. This is the criterion doing the real work on this page. Series A is where the buyer stops being one enthusiastic person and becomes a group with a budget and an approval process, and the site has to serve both. A studio whose portfolio is early-stage launch pages has not met that problem yet.
Pricing. Is a starting figure published. At this stage the budget exists but it is being watched, and a public number saves two calls finding out whether a studio operates at your scale or three times above it.
Team shape. Headcount tells you whether the people who pitch stay on the work. A Series A account is a mid-sized project in a large studio, which is exactly the size that gets delegated.
Their own site. It is the only project where nobody could overrule them, so read it for judgement rather than for style.
An extra question worth asking: how do they handle a client with four internal stakeholders who disagree. You have those now. A studio that has worked at this stage will describe a process. One that has not will say communication is key.
Every figure in the tables below comes from what each studio publishes about itself, with nothing estimated. Where a row says unpublished, the studio decided not to disclose it rather than the research falling short.
What goes wrong for Series A AI startups
Three failures, and the first one shows up in your sales calls before it shows up in analytics.
The site still tells the founding story to a buyer who wants a checklist. It opens with why the company exists, which was the right move when the market did not know the category. The person evaluating you now has a shortlist, a budget, and a security review to run, and they are looking for deployment options, data handling, integrations, and who else like them already bought. Keep the story, move it, and put the answers where the evaluation happens.
Ownership is split, so the homepage becomes a compromise. Four teams have legitimate claims and nobody has the final say, so every section is a merged version of four opinions and the page ends up saying nothing sharply. Name one owner before the project starts, give them the authority to reject requests, and agree what the site is for in a sentence everyone signs off on while it is still cheap to argue.
The redesign gets timed to the announcement instead of to the work. The round goes out on a date, so the site has to be live on that date, and scope gets cut from the parts nobody sees in a screenshot. Those parts are the pricing page, the security page, and the customer stories, which are precisely what the traffic from the announcement will look for. Ship the announcement page on time and the rest properly, rather than all of it badly.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
At Series A the site is only half the problem, because the other half is what happens after somebody signs up and cannot tell whether the product is working. Studio Maydit continues into product design once the site ships, so that second half does not become a separate procurement exercise six months later. It is a web and product design studio. Its clients are AI founders, across the US, UK, and Europe. Framer suits a site that changes weekly, Webflow suits a marketing team that needs its own control, and custom code is kept for products that will not fit either.
Dualite is the outcome to look at, and the order of operations is the useful part. A repositioned ICP came first. The product was then designed for the narrower group that decision defined. 100,000+ users arrived across seven months. Series A companies usually face the opposite pressure, adding segments because the round was raised on a bigger market, and the sequence here is a reminder that narrowing is what makes a page work. Recent clients include Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
The monthly retainer is the option most Series A teams actually need, because the year ahead is a stream of new pages, campaigns, and product design rather than one project, and it carries no long lock-in so it ends when the need does. Fixed scope, three to four weeks, is the alternative when there is a date to hit, and it finishes with a written diagnosis of what is leaking in the product, which is worth having before you start spending on traffic.
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 | Series A teams whose site now has four owners and no editor |
Decide who has the final say before the first call. Everything else follows. Book a 30-minute call.
2. Phantom
Phantom has worked from London and Auckland since 2013 with fifty-one to two hundred people and AI-sector proof, for Diageo, SAP, Financial Times, and Zendesk. SAP and Zendesk are software companies sold to committees, and a studio used to that has already met the approval chain your new enterprise buyers bring with them.
No pricing is published, custom code means later edits come back through them, and a studio of that size is built for larger programmes than a Series A site.
Check | Finding |
|---|---|
Based in | London, UK and Auckland, NZ |
Founded | 2013 |
Team size | 51-200 |
Primary platform | Custom code |
AI-sector proof | Yes |
Named clients | Diageo, SAP, Financial Times, Zendesk |
Pricing | Not published |
Best fit | Series A teams now selling into organisations with approval chains |
3. basement.studio
basement.studio works from Mar del Plata and Los Angeles, founded in 2018, with eleven to fifty people, custom code, a published starting price, and AI-sector proof, for Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI. Every one of those is an AI or infrastructure company that had to look credible to a technical buyer while growing quickly, which is your exact situation.
Custom code means your marketing team cannot publish without them, and the visual ambition is high enough to slow a routine page update.
Check | Finding |
|---|---|
Based in | Mar del Plata, Argentina and Los Angeles, USA |
Founded | 2018 |
Team size | 11-50 |
Primary platform | Custom code |
AI-sector proof | Yes |
Named clients | Vercel, Cursor, ElevenLabs, Harvey AI, Scale AI |
Pricing | Published minimum |
Best fit | AI companies who want the site to read like the category leader |
4. Fantasy
Fantasy has worked from San Francisco and New York since 1999, with AI-sector proof. Twenty-six years is by far the longest record here, and a studio that has designed through several complete changes in what software looks like brings perspective a younger team cannot.
Nothing is public. No named clients, no pricing, no headcount, and no way to check the AI proof against a company you recognise. That is a hard sell to a board asking why this studio.
Check | Finding |
|---|---|
Based in | San Francisco and New York, USA |
Founded | 1999 |
Team size | Not published |
Primary platform | Mixed |
AI-sector proof | Yes |
Named clients | Not published |
Pricing | Not published |
Best fit | Companies buying a long record rather than a verifiable list |
5. Feely Studio
Feely Studio is a distributed European team of one to ten with a published starting price and AI-sector proof, for Noxus, Mutiny, Luasai, and Basic Capital. Mutiny is a company whose whole product is about conversion, which is a useful sensibility to have on the other side of the table when the brief is a funnel rather than a brand.
One to ten people is a real constraint at Series A, where several pages usually need to move at once, and no founding year is published.
Check | Finding |
|---|---|
Based in | Distributed, Europe |
Founded | Not published |
Team size | 1-10 |
Primary platform | Mixed |
AI-sector proof | Yes |
Named clients | Noxus, Mutiny, Luasai, Basic Capital |
Pricing | Published minimum |
Best fit | Teams who want conversion thinking and a published starting number |
6. Foundey
Foundey has worked from San Francisco since 2021 with AI-sector proof, for DemandIQ, Traycer, and Sero AI. All three are AI companies at an early stage, so the studio understands what it is to design for a product still finding its shape, and the practice is design-led throughout.
Foundey stops at Figma. Someone on your side builds it, no team size or pricing is published, and at Series A that build usually lands on an engineering team that has other plans.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2021 |
Team size | Not published |
Primary platform | Figma-only |
AI-sector proof | Yes |
Named clients | DemandIQ, Traycer, Sero AI |
Pricing | Not published |
Best fit | Teams with in-house build capacity who only need the design |
7. Kvalifik
Kvalifik has built in Webflow from Copenhagen since 2015 with eleven to fifty people and AI-sector proof, for Veo, Maersk, and Relesys. Webflow is the right shape for a company where three teams now need to publish, and Maersk is evidence they can work with an organisation where nothing is decided by one person.
No pricing is published, none of the named clients is an AI-native startup, and Copenhagen shares only a morning with the US.
Check | Finding |
|---|---|
Based in | Copenhagen, Denmark |
Founded | 2015 |
Team size | 11-50 |
Primary platform | Webflow |
AI-sector proof | Yes |
Named clients | Veo, Maersk, Relesys |
Pricing | Not published |
Best fit | Series A teams where several people need to publish weekly |
8. Feels Like
Feels Like is a Los Angeles studio founded in 2023 in custom code, with AI-sector proof, for Google, Nike, LVMH, and Suno AI. The visual ambition is the highest on this page, which is the right instrument when the round has been announced and the site has to make the company look like the obvious winner in its category.
The studio is young, no team size or pricing is published, and custom code means the marketing team returns to them for every change.
Check | Finding |
|---|---|
Based in | Los Angeles, USA |
Founded | 2023 |
Team size | Not published |
Primary platform | Custom code |
AI-sector proof | Yes |
Named clients | Google, Nike, LVMH, Suno AI |
Pricing | Not published |
Best fit | Companies using the redesign as a public statement of scale |
9. Trueform
Trueform has worked from Wil in Switzerland since 2022 in Framer, with a published starting price and AI-sector proof, for Miro, Morning Brew, Bilt Rewards, and Gather. Framer is the fastest way to give a marketing team direct control, and Miro is a product that had to explain itself to several different kinds of buyer at once.
No team size is published, the studio is young, and Framer will not carry a site that needs live data from the product.
Check | Finding |
|---|---|
Based in | Wil, Switzerland |
Founded | 2022 |
Team size | Not published |
Primary platform | Framer |
AI-sector proof | Yes |
Named clients | Miro, Morning Brew, Bilt Rewards, Gather |
Pricing | Published minimum |
Best fit | Teams who want marketing publishing without engineering time |
10. Clay
Clay has worked from San Francisco since 2016 with fifty-one to two hundred people, a published starting price, and AI-sector proof, for Slack, Stripe, Google, Coinbase, and Amazon. That is the most recognisable client list here, and Stripe in particular is the standard most Series A companies are quietly benchmarking themselves against.
The price band is premium, the platform is mixed rather than fixed, and at that size you should establish who is actually on the project before signing.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2016 |
Team size | 51-200 |
Primary platform | Mixed |
AI-sector proof | Yes |
Named clients | Slack, Stripe, Google, Coinbase, Amazon |
Pricing | Published minimum |
Best fit | Well-funded teams buying at the top of the market |
How to choose between them
Sort by what is actually broken.
If enterprise buyers keep asking questions the site does not answer, that is structure. Phantom.
If the site no longer looks like it belongs to a company that just raised, that is craft. basement.studio, or Feels Like.
If three teams are fighting over one page, buy the platform that lets them all publish. Trueform on Framer, or Kvalifik on Webflow.
If the brief is really conversion rather than image, keep it small and sharp. Feely Studio.
One test before you sign. Give them your last five lost deals and ask which page would have helped. A studio that fits this stage picks a page and explains the mechanism. A studio that does not will say it needs to understand the brand first.
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