Summarize with AI
For an AI data platform that wants its website written in real code, Studio Maydit fits best, because one team designs the site, builds it in custom code, and then keeps designing the product screen where a new user runs a first query. Of the other nine, basement.studio and Fantasy lead: basement.studio codes for Scale AI and Vercel, and Fantasy brings published AI work and decades of large builds. Ranked by fit, the ten studios worth reviewing are Studio Maydit, basement.studio, Fantasy, Feely Studio, Finsweet, Refokus, Digidop, 8020, Flow Ninja, and Push Refresh. Flow Ninja and Push Refresh fit this brief least, since both have only partial AI proof and neither names a data client. To be plain about the pool: only basement.studio builds in custom code as its main platform. Fantasy and Feely Studio work across mixed tools, Push Refresh is a Framer studio, and Finsweet, Refokus, Digidop, 8020, and Flow Ninja are Webflow studios.
Picture one platform that turns messy company files into tables a model can search. A data engineer at an insurer finds it in a forum thread at eleven at night. She has three questions. Does it read from the warehouse her team already pays for? What would a month cost at her row count? Can she try a query without booking a call?
The homepage answers none of them in a way she can use. The integrations page is a wall of forty logos, and clicking Snowflake does nothing. The pricing page says Talk to sales. The live demo turns out to be a looping video of someone else typing a query. She closes the tab and tries the next tool on the thread.
That is the case for custom code on a data platform site. Not a fancier homepage, but parts that compute: a query box that runs on sample data, a cost estimate that does the math, and a page for each connector that says what it syncs. Website builders host words and pictures well. They struggle when the page has to behave like a piece of the product.
So we asked each studio one thing. Can it ship a site where an engineer can test the claim before she believes it?
How we ranked studios for a coded data platform site
We read each studio's own pages and its public directory listings in October 2026. Nobody paid for a place on this list.
- Who writes the code. Is custom code the studio's main platform? A Webflow or Framer team will not build a query box that talks to your API.
- AI and data work on record. We looked for named AI clients, then for clients selling data, developer, or infrastructure tools. Writing for engineers who test every claim is a skill few studios have practiced.
- Whether a floor price is public. We noted only if a minimum is posted, never the figure.
- How the team is sized. We set headcount beside tier and named clients. A sandbox demo needs a front-end developer for weeks, not a designer for days.
- The studio's own website. Does any part of it run, filter, or calculate, or is it all words and video?
We weigh the fifth check most. A studio builds its own site with no client to please, so if nothing on it moves past a scroll effect, that tells you how far the code goes on yours.
Each table below uses only facts a studio has made public. When a studio has not shared something, the row reads Not published.
What goes wrong when an AI data platform hires a custom code studio
The demo is a recording of a query, not a query. The pitch promises a playground. Then the studio learns it needs a read-only endpoint and a sample dataset from your busy engineers, so it ships a screen capture with a fake cursor. The first engineer who clicks it finds out, and she trusts the rest of the page less. Settle in week one who builds the sandbox, what data it uses, and how many queries a visitor may run.
The connector pages are typed in by hand. Your product adds two integrations a month, but each connector page is built as a one-off, so by spring the BigQuery page still says Coming soon while the product has synced it for months. Ask for connector pages that build themselves from the product's connector list every time the site deploys, with sync modes and limits pulled in too.
Every word change waits on an engineer. The copy is stuck inside the code. Your marketing lead wants to fix one pricing line before a launch, opens a ticket, and waits a sprint. Ask the studio to keep the words in a content system your team can edit, and keep the code for the parts that run or calculate.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
A data platform site often has to do something before it can say something, and that is where Studio Maydit starts. It is a web and product design studio working with AI founders in the US, UK, and Europe. It builds in Framer, Webflow, and custom code, picking code when the page must run a sample query or work out a cost. After launch the same team can continue into product design, where a new user's first query really happens.
Engineers were the audience at Dualite, an AI tool for developers whose site and product the studio both designed. Read the Dualite case study for the screens. For that tool, design work supporting a repositioned ICP helped the product reach 100,000+ users in seven months. Other recent names on the client list: Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
There are two ways to buy. A fixed scope runs three to four weeks, fits a team with a launch or a conference date, and closes with a diagnosis of what is leaking in the product, such as the step where trial users stop before connecting a source. A team that keeps releasing connectors and features can take a monthly retainer for new pages, campaigns, and product design, with no long lock-in.
| 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 | AI data platforms that need a coded site an engineer can test, and design help on the first query inside the product |
Show us the page where engineers give up on your site, and we will tell you which part of it should run instead of describe. Book a 30-minute call.
2. basement.studio
basement.studio writes custom code as its main platform, with 11 to 50 people split between Mar del Plata, Argentina and Los Angeles. Its named clients are Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI, and Scale AI, a training data company, is the closest client to this audience on the page. For a data platform that wants a sandbox or a live chart on its homepage, this is the team in the pool most likely to build it rather than fake it. It publishes a minimum.
Its portfolio is weighted toward developer brands, so a platform that sells to business analysts should ask to see work for less technical buyers. With 11 to 50 people and clients of this size, ask early when it can start.
| 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 | Data and developer platforms that want working demos built into the site |
3. Fantasy
Fantasy has worked from San Francisco and New York since 1999 and has published AI client work. A data platform moving upmarket, into long security reviews, gets a studio used to enterprise scale.
Fantasy works across mixed platforms rather than leading with custom code, and it publishes no team size, no named clients, and no minimum. As a premium studio, it may put an early startup behind bigger accounts.
| 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 | Later-stage data platforms selling to large companies that need brand and site together |
4. Feely Studio
Feely Studio is a small distributed team in Europe with published AI work for Noxus, Mutiny, Luasai, and Basic Capital. It publishes a low entry point, so a seed-stage data platform can get a brand and a site from one team without a large budget.
Feely works across mixed tools, not custom code first, so a query sandbox or a connector catalog built from your code would likely fall to your own engineers. It is a team of one to ten with no published founding year.
| 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 | Seed-stage data platforms that need brand and site first and can wire in demos later |
5. Finsweet
Finsweet is a large Webflow studio of 51 to 200 people, based in Denver and spread across other locations, founded in 2017. Its named clients include Dropbox, GitHub, and Clay, all sold to technical buyers. That headcount can staff many page types at once.
It builds in Webflow, not custom code, and its AI record is partial with no AI case study. It does not publish a minimum. Pages that run queries would fall to your engineers.
| Check | Finding |
|---|---|
| Based in | Denver, USA, distributed |
| Founded | 2017 |
| Team size | 51-200 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Tech and SaaS clients, no AI case study |
| Named clients | Dropbox, Clay, GitHub, Steadily |
| Pricing | Not published |
| Best fit | Data platforms with many page types that want marketing to own a Webflow site |
6. Refokus
Refokus is a Webflow studio founded in 2021, working remotely from Germany with 11 to 50 people. Its named clients, Mural, BASF, Spotify, Yahoo, and BCG, are large companies, so it knows the buyers a data platform meets in an enterprise deal and the brand standards they expect.
Refokus is a premium Webflow shop, not a custom code studio, and its AI proof is partial. It does not publish a minimum, and none of its named clients sells data tools.
| Check | Finding |
|---|---|
| Based in | Germany, remote |
| Founded | 2021 |
| Team size | 11-50 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Tech and enterprise clients, no AI case study |
| Named clients | Mural, BASF, Spotify, Yahoo, BCG |
| Pricing | Not published |
| Best fit | Data platforms selling to enterprises that want a polished Webflow site |
7. Digidop
Digidop is a Paris Webflow studio founded in 2021, with one to ten people and a published minimum. One of its named clients is StreamNative, a company built around streaming data, which gives it more direct data experience than most studios in this pool.
It builds in Webflow rather than code, and its team is small. Its AI proof is partial, and US teams should check how many working hours overlap with Paris.
| Check | Finding |
|---|---|
| Based in | Paris, France |
| Founded | 2021 |
| Team size | 1-10 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Data and fintech clients, no AI case study |
| Named clients | TSE Energy, Ramify, StreamNative |
| Pricing | Published minimum |
| Best fit | European data infrastructure teams that want a Webflow site and a known price floor |
8. 8020
8020 is a Webflow studio in San Francisco and New York, founded in 2014. Its named clients, Wave, Superlist, Pilot.com, Vanta, and Circle, are mostly startups, and Vanta sells to the security teams that a data platform must also win over.
It builds in Webflow, not custom code, and its AI record is partial. It publishes neither a team size nor a minimum, so a sandbox demo would sit outside its usual scope.
| Check | Finding |
|---|---|
| Based in | San Francisco and New York, USA |
| Founded | 2014 |
| Team size | Not published |
| Primary platform | Webflow |
| AI-sector proof | Partial. Startup and SaaS clients, no AI case study |
| Named clients | Wave, Superlist, Pilot.com, Vanta, Circle |
| Pricing | Not published |
| Best fit | Startup data platforms that want a fast Webflow site their marketers run |
9. Flow Ninja
Flow Ninja is a Webflow studio in Belgrade, Serbia, founded in 2018, with 11 to 50 people. That is enough people for a large Webflow site with many use case pages.
It names no clients in public, its AI proof is partial, and it publishes no minimum. It builds in Webflow rather than code.
| Check | Finding |
|---|---|
| Based in | Belgrade, Serbia |
| Founded | 2018 |
| Team size | 11-50 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Tech clients, no AI case study |
| Named clients | Not published |
| Pricing | Not published |
| Best fit | Data teams that want a large Webflow build at a steady pace |
10. Push Refresh
Push Refresh is a Dallas studio of one to ten people that builds in Framer and also works in Webflow. You talk to the people doing the work, and it publishes a minimum.
It ranks last here because it is a Framer studio, not a custom code shop, and its named clients, SmithRx, Synonym, and Northern National, are in health and services rather than data or AI. A team that small would struggle to build a sandbox while it designs the pages, and it publishes no founding year.
| Check | Finding |
|---|---|
| Based in | Dallas, USA |
| Founded | Not published |
| Team size | 1-10 |
| Primary platform | Framer |
| AI-sector proof | Partial. Tech and SaaS clients, no AI case study |
| Named clients | SmithRx, Synonym, Northern National |
| Pricing | Published minimum |
| Best fit | Early data teams that want a small Framer site with direct senior contact |
How to choose between them
Sort by what an engineer cannot do on your site today.
She cannot try the product without a sales call. You need a coded sandbox on the site. Studio Maydit or basement.studio, the two here that build in custom code.
She cannot tell whether you connect to her stack. You need connector pages that stay current. A coded build from Studio Maydit or basement.studio, or Finsweet if marketing will update pages by hand.
Her boss cannot tell whether you are a real vendor. The site needs enterprise weight more than code. Fantasy or Refokus.
You have almost no budget and no brand yet. Feely Studio or Digidop, both with a published minimum, and add the coded parts later.
One test before you sign. Ask each studio to show you one page it built that runs, filters, or calculates something live. If all it can show is video and scroll effects, it will not build the query box your buyers want.
