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10 Best Custom Code Website Development Agencies for Series A AI Startups - August 2026
Moving to custom code at Series A puts your publish button behind a pull request. We checked 10 development agencies on five public criteria.
The best custom code website development agencies for Series A AI startups in 2026 are Studio Maydit, Engine Digital, Feels Like, basement.studio, Phantom, BX Studio, 8020, Feely Studio, Fantasy, and Flowout. Studio Maydit and basement.studio lead for teams who want a coded site without losing the ability to change it. Engine Digital and Phantom are the wrong fit unless your buyers are large institutions with a formal review process.
At some point after the Series A, an engineer on your team will say the website should be in the same stack as the product. They will be right about the technology and usually wrong about the company.
The technical case is genuine. A coded site gives you control over performance, real component reuse, room for interactive demos that a visual builder cannot express, and one repository instead of a separate tool nobody in engineering respects. Every one of those is true.
What the case leaves out is who will do the work afterwards. On a hosted platform, the person who fixes a typo, publishes a launch page, or updates pricing is whoever notices, usually in marketing, in about four minutes. In a codebase, that same change is a branch, a review, a deploy, and a place in a queue behind product work. You have not removed the effort. You have moved it onto the scarcest team in the company, at the stage where every engineering hour is being fought over.
That trade is worth making for some companies and quietly disastrous for others, and the difference has almost nothing to do with the quality of the agency you hire. It depends on whether anyone in engineering will actually own the site in twelve months, and whether your message is stable enough that the pages stop changing weekly. Getting that decision right, before the rebuild rather than after it, is what separates these ten.
How we picked these agencies
This is a teardown, not a directory listing. For each agency we read their own site and their public record, then checked five things you can verify yourself in an afternoon:
Platform depth. Is one craft their real specialism, or one line on a long service menu?
AI-sector proof. Named AI clients and published work, or just the word "AI" in the copy?
Pricing. Do they publish a minimum at all, or keep it behind a call?
Team shape. Who actually does the work, and how many clients are they carrying at once?
Their own site. Distinctive, or the same template as everyone else on this list?
That last one gets skipped most often. An agency's own website is the only project where nobody overruled them. No client committee, no inherited brand book. If their own site is forgettable, you have found their ceiling.
Every fact below comes from the agency's own site or a public listing. Where a number is not public, we say so rather than guessing.
What goes wrong when a Series A team rebuilds in code
Three failures account for most regretted rebuilds, and all three are visible before a line is written.
Code is bought to fix something the platform never broke. The complaint is that the site is slow, or rigid, or looks like everyone else's. Those are real symptoms and they usually have unglamorous causes. An uncompressed hero video. Four analytics scripts loading before anything renders. Forty pages nobody has opened in a year. A template chosen in a hurry two years ago and never revisited. Rebuilding in a framework fixes none of that on its own, because the video, the scripts, and the abandoned pages all move across with you. Measure first. If the honest answer is that the site was never maintained, a rebuild buys you a faster version of the same neglect.
Marketing loses the publish button. This is the cost that never appears in the proposal, and it is the one that hurts every week. Before the rebuild, a growth hire could put up a campaign page on a Tuesday afternoon. After it, that page is a ticket. The cadence drops from several pages a month to a few a quarter, not because anyone decided that, but because the friction is now high enough that people stop asking. Teams that make this work solve it deliberately, usually by wiring the marketing pages to a content system so copy changes never touch the repository. Teams that do not solve it discover six months later that their best growth channel quietly stopped.
The repository becomes nobody's job. While the agency is engaged, the site has an owner. When the engagement ends, ownership is meant to pass to your engineering team, who have a product roadmap and no interest in a marketing site. So it becomes the lowest priority repository in the company. Dependencies age, a framework release lands, a security advisory arrives, and eventually a small copy change turns into a day of work because nothing has been touched in eight months. Before you start, name the engineer responsible and agree what share of their time this is. If nobody will accept it, that answer is telling you to stay on a platform.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
Studio Maydit is a web and product design studio working with AI founders in the US, UK, and Europe. The studio builds websites in Framer, Webflow, and custom code, and continues into product design after the site ships.
The clearest outcome is Dualite, where design work supporting a repositioned ICP helped the product reach 100,000+ users in seven months. Recent clients include Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
Websites can be bought two ways. Fixed scope runs three to four weeks and suits teams with a launch date. Teams that keep shipping take a monthly retainer instead, covering new pages, campaigns, and product design, with no long lock-in. Fixed-scope projects end with a diagnosis of what is leaking in the product, not a handoff and goodbye.
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 | Teams weighing a coded rebuild against staying on a platform |
Maydit is the right call if you want an honest answer about whether the rebuild is worth it before you commit. Book a 30-minute call.
2. Engine Digital
Engine Digital has been working since 2002 out of Vancouver and New York, with Adidas, Autodesk, Goldman Sachs, and HP named. Custom code is their actual practice rather than an upsell, and their clients are organisations where a website has to pass legal, security, and accessibility review. If your Series A was raised on enterprise contracts, that experience decides whether the site survives procurement.
They publish neither pricing nor team size, their AI-sector proof is partial, and their pace and cost are built for established companies rather than a team of thirty.
Check | Finding |
|---|---|
Based in | Vancouver and New York |
Founded | 2002 |
Team size | Not published |
Primary platform | Custom code |
AI-sector proof | Partial. Enterprise and SaaS clients, no AI case study |
Named clients | Adidas, Autodesk, Goldman Sachs, HP |
Pricing | Not published |
Best fit | Teams whose site has to clear enterprise procurement |
3. Feels Like
Feels Like is a Los Angeles studio founded in 2023 with published AI client work and Google, Nike, LVMH, and Suno AI named. Custom code is worth its cost mainly when you want something a builder genuinely cannot do, and this is a studio whose work lives at that end. Suno is the relevant reference, an AI product that had to be presented as an experience rather than explained as a feature list.
They publish no pricing or team size, they are new enough that their record on long maintenance relationships is unproven, and expressive work is the most expensive kind to change later.
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 who need something a visual builder cannot express |
4. basement.studio
basement.studio is an 11 to 50 team across Argentina and Los Angeles, founded in 2018, with a published minimum and Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI named. This is the most directly relevant list on the page. Those are AI companies at or past your stage who made the same decision, and a studio that has shipped for them will already know how to keep a coded site editable rather than frozen.
They are in demand so timelines are not guaranteed, their aesthetic is distinctive enough that a conservative buyer may not follow you, and a coded site still lands in your engineers' laps eventually.
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. Published AI client work |
Named clients | Vercel, Cursor, ElevenLabs, Harvey AI, Scale AI |
Pricing | Published minimum |
Best fit | Teams whose buyers and hires are developers |
5. Phantom
Phantom is a 51 to 200 team across London and Auckland, founded in 2013, with published AI client work and Diageo, SAP, and the Financial Times named. A studio at this size can carry a build with real content architecture behind it, which is what a coded site needs if you intend to keep publishing. SAP is a useful reference for teams selling software into large organisations with long approval chains.
They publish no pricing, their engagement scale is built for enterprises rather than a company one round in, and a large studio brings coordination overhead a thirty-person team will notice.
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 who need real content architecture, not just pages |
6. BX Studio
BX Studio is a New York team of 11 to 50 with a published minimum, published AI client work, and Reddit, Headspace, ASAPP, and Verifone named. They are worth a conversation precisely because Webflow is their platform. If part of your rebuild case is that the current site is limiting you, a studio that knows how far a hosted platform actually goes is the cheapest possible second opinion before you commit engineering time.
Webflow is not custom code, so if you have genuinely decided on a coded stack they are the wrong shortlist, and they publish no founding year.
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 who should test the platform ceiling before rebuilding |
7. 8020
8020 is a team across San Francisco and New York, founded in 2014, with Wave, Superlist, Pilot.com, Vanta, and Circle named. That client list is close to your position, technical B2B companies at or just past Series A explaining a careful purchase to a careful buyer. Vanta in particular sells trust to security-conscious organisations, which is the same argument most AI companies now have to make.
Webflow rather than custom code is their platform, they publish neither pricing nor team size, and their AI-sector proof is partial.
Check | Finding |
|---|---|
Based in | San Francisco and New York, USA |
Founded | 2014 |
Team size | Not published |
Primary platform | Webflow |
AI-sector proof | Partial. Enterprise and SaaS clients, no AI case study |
Named clients | Wave, Superlist, Pilot.com, Vanta, Circle |
Pricing | Not published |
Best fit | Technical B2B teams selling a careful purchase |
8. Feely Studio
Feely Studio is a distributed 1 to 10 team across Europe with a published minimum, published AI client work, and Noxus, Mutiny, Luasai, and Basic Capital named. A small senior team is a sensible way to buy the design half of a rebuild while your own engineers build it, which is often the right split at Series A because it keeps the code in the hands of the people who will maintain it.
They are small enough that capacity depends on their queue, they publish no founding year, and they are not a custom code shop, so the build has to sit with you.
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 whose engineers will build it if someone designs it |
9. Fantasy
Fantasy has been working since 1999 out of San Francisco and New York, with published AI client work and a practice built around product rather than page. The strongest argument for a coded site is that the marketing site and the product stop being separate objects, sharing components and a single design language. A studio that thinks in product terms is the right one to plan that, since done badly it doubles your maintenance rather than halving it.
They publish no pricing, no team size, and no client names, which makes their record hard to check, and their engagement scale sits above a Series A budget.
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 merging the marketing site and the product into one system |
10. Flowout
Flowout is a distributed Webflow studio with a published minimum and Jasper, Kajabi, Riverside, and Sendlane named. The unglamorous half of any rebuild is moving what already exists, and a production-oriented studio will migrate sixty pages faster and cheaper than an engineering team who consider it beneath them. Published pricing makes that portion easy to scope separately.
They publish neither a founding year nor a team size, their AI-sector proof is partial, and Webflow rather than custom code means they are a complement to the rebuild rather than the team doing it.
Check | Finding |
|---|---|
Based in | Distributed |
Founded | Not published |
Team size | Not published |
Primary platform | Webflow |
AI-sector proof | Partial. Enterprise and SaaS clients, no AI case study |
Named clients | Jasper, Kajabi, Riverside, Sendlane |
Pricing | Published minimum |
Best fit | Teams with a long tail of existing pages to move |
How to choose between them
Sort by why you are rebuilding.
You are not sure you should. Studio Maydit or BX Studio.
Developers are your buyers and your hires. basement.studio.
Enterprise procurement reads the site. Engine Digital or Phantom.
The site and the product should share one system. Fantasy.
One test before signing. Ask them who publishes a new landing page six months after launch, and how long it takes. An agency worth hiring will answer with a specific arrangement, usually a content system wired so copy never touches the repository, and will ask which of your people it has to work for. One that answers that your engineers can just deploy it has told you they are building for the handover and not for the year afterwards, which is when the site either keeps earning or quietly stops.
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