Summarize with AI
Studio Maydit is the best fit for an AI voice product that wants its website built in Next.js, because one team designs the voice library, codes the pages, and then designs the product screens where a customer picks a voice. Behind it, basement.studio and Feels Like lead: both list custom code as their main platform, basement.studio names ElevenLabs and Vercel, the company that makes Next.js, among its clients, and Feels Like names Suno AI, an AI music product. In order of fit, the ten studios worth reviewing are Studio Maydit, basement.studio, Feels Like, Clay, Lazarev, Pixelmatters, Fantasy, Finsweet, Digidop, and Flow Ninja. Digidop and Flow Ninja fit least. To say it plainly, Finsweet, Digidop, and Flow Ninja build in Webflow, not Next.js, so none of those three would write your code. Clay, Lazarev, Pixelmatters, and Fantasy list mixed platforms, so ask each for a Next.js site it has shipped.
Picture a developer in Leeds who needs a Welsh English voice for a bus timetable line. She does not open your homepage. She types "Welsh accent text to speech voice" into a search box, or asks an AI assistant the same thing.
Your product has that voice. It is number 84 in a library of 140, behind a filter on a page called Voices. That page draws its grid with JavaScript, from an API call, after it loads. A crawler that does not wait sees a heading and an empty box. There is no page for the Welsh voice and no sample anyone can link to.
So the answer she gets names a rival with fewer voices. That rival gave each voice its own address, with the accent, the languages, a short clip, and the words of the clip written out underneath.
This is the part of a voice website that Next.js does well. One file of voice data can become 140 pages at build time, each one readable before any script runs, and a new voice can go live without anyone touching the layout. So we asked each studio below one question: if you add a voice on Tuesday, does it have its own page that a search engine and an AI assistant can read by Wednesday?
How we scored nine Next.js studios for voice AI
Every table is built from two kinds of public pages: the studio's own website and its directory listings, read in October 2026. Nobody paid for a place.
- Who writes the code. We started from the main platform each studio names. A custom code studio can own a Next.js repository from the first commit. A mixed studio might. A Webflow studio would hand you a Webflow site instead.
- AI work, and anything that makes sound. We looked for named AI clients first, then for clients whose product is audio, speech, or phone calls.
- Whether a minimum is posted. We wrote down yes or no. The figure itself never appears next to a studio's name.
- People per project. We read headcount next to the client list. A voice library, a pricing page billed per character, and a live demo are three jobs, and a very small team does them one after another.
- What their own site does with media. We opened each studio's site on a phone over mobile data and watched what loaded first. Did video or sound start before we asked?
The fifth check matters more here than usual. A voice website is a media website: dozens of clips, waveforms, and often a demo you can talk to. A studio whose own homepage loads three videos before its headline will treat your samples the same way.
When a studio keeps a detail to itself, its table says Not published, never a guess.
What goes wrong when a voice AI company builds in Next.js
The voice library is one page, drawn in the browser. The studio builds a smooth, filterable grid that fetches voices from your API after the page loads. Crawlers and AI assistants see a shell. Ask for one page per voice and per language, generated from the same voice data your API serves, with the clip's transcript in the HTML and a revalidation rule so a new voice shows up within the hour.
Every clip downloads before anyone presses play. Forty audio players on one page, each set to preload, add several megabytes before the first tap. On a phone the page stalls. Ask for audio that loads only when pressed, short compressed files served from a CDN, waveforms drawn from stored data instead of decoded in the browser, and a page weight budget written into the brief.
Each new voice waits for an engineer. The launch pages are hard coded inside React components. Three months later the voice team ships twelve voices and a new language, and each one becomes a ticket behind product work. Ask for a content model your voice and marketing team can edit, a preview link for every change, and pages that rebuild when someone presses publish.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
A voice company adds voices, languages, and features every few weeks, so its website is never really finished. Studio Maydit is a web and product design studio working with AI founders in the US, UK, and Europe. The studio builds in Framer, Webflow, and custom code, and a Next.js voice library with a page per voice sits on the custom code side. After launch, the same team moves into product design, such as the screen where a customer previews and picks a voice.
The closest work to a voice library is the Sawdust case study, a music licensing site that puts a playable catalog of tracks on the page, so buyers hear the product before they read about it. The clearest result is Dualite, where design work supporting a repositioned ICP helped the product reach 100,000+ users in seven months. Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams are recent clients too.
For a team that keeps shipping voices, a monthly retainer fits best. It covers new pages, campaigns, and product design, with no long lock-in. A launch with a date on it, such as a new model or a first language beyond English, suits a fixed scope of three to four weeks. That scope ends with a diagnosis of what is leaking in the product, for example the step where a trial user types one sentence, hears one voice, and never tries a second.
| 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 voice teams whose library grows every month and who want each voice findable, fast to load, and designed together with the product |
Send us the link to your voices page, and we will show you what a search crawler sees there today. Book a 30-minute call.
2. basement.studio
basement.studio has written custom code since 2018, with 11 to 50 people split between Mar del Plata, Argentina and Los Angeles, USA. Its named clients include ElevenLabs, one of the best known voice AI companies, and Vercel, the company that makes Next.js. Cursor, Harvey AI, and Scale AI are AI companies too. It publishes a minimum.
Those clients are large, well funded companies, and the team is 11 to 50 people. An early voice startup should ask who would be on its project and how soon they could 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, including ElevenLabs |
| Named clients | Vercel, Cursor, ElevenLabs, Harvey AI, Scale AI |
| Pricing | Published minimum |
| Best fit | Voice AI teams that want a coding studio already at home with Next.js and with voice clients |
3. Feels Like
Feels Like is a Los Angeles studio founded in 2023 that builds in custom code and has AI work on record. Named clients include Google, Nike, LVMH, and Suno AI. Suno AI turns a text prompt into a song, so Feels Like has already put generated audio in front of a very large consumer audience.
It is the youngest studio on this list, and it publishes neither team size nor a minimum. Its other clients are consumer brands, so a developer-facing voice API should ask how it would design docs. Our facts say custom code, not Next.js by name, so confirm the framework.
| 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, including Suno AI |
| Named clients | Google, Nike, LVMH, Suno AI |
| Pricing | Not published |
| Best fit | Consumer voice apps that need a bold, coded launch site people remember |
4. Clay
Clay works from San Francisco, was founded in 2016, has 51 to 200 people, and posts a minimum. Named clients include Slack, Stripe, Google, Coinbase, and Amazon, and it has AI work on record. Stripe sells to developers, the same reader a voice API has to win: someone who checks the docs and the price per unit before the homepage.
Clay lists mixed platforms and does not tie itself to Next.js. Ask who would write the code, and whether a startup gets the senior people behind those big names.
| 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 | Funded voice companies whose bigger gap is brand and story, with their own engineers ready to share the build |
5. Lazarev
Lazarev is a San Francisco studio founded in 2015, with 51 to 200 people and a published minimum. It has AI work on record, and named clients include Payoneer, Peel, Elva, and Mozayix. A team that size can design product screens and library pages at once.
Like Clay, it lists mixed platforms, and our facts do not name Next.js. None of its named clients sells audio or speech, so ask to see the most media heavy page it has built.
| Check | Finding |
|---|---|
| Based in | San Francisco, USA |
| Founded | 2015 |
| Team size | 51-200 |
| Primary platform | Mixed |
| AI-sector proof | Yes. Published AI client work |
| Named clients | Payoneer, Peel, Elva, Mozayix |
| Pricing | Published minimum |
| Best fit | Voice AI teams that want website and product screens designed in parallel by one larger studio |
6. Pixelmatters
Pixelmatters is based in Porto, Portugal, was founded in 2013, and has 51 to 200 people and a published minimum. Named clients include Rubrik, Quantic, and UJET. UJET makes contact center software, which puts Pixelmatters nearer to phone support buyers than most studios here.
Its AI proof is partial, with no AI case study in our facts, and it lists mixed platforms. Ask for a Next.js site it has shipped before you scope.
| Check | Finding |
|---|---|
| Based in | Porto, Portugal |
| Founded | 2013 |
| Team size | 51-200 |
| Primary platform | Mixed |
| AI-sector proof | Partial. B2B software clients, no AI case study |
| Named clients | Rubrik, Quantic, UJET |
| Pricing | Published minimum |
| Best fit | Voice agent companies selling to contact centers that want a European team with enough people |
7. Fantasy
Fantasy has worked from San Francisco and New York since 1999, longer than any other studio on this list, and it has AI work on record.
It publishes no team size, no named clients, and no minimum, so there is very little to check before a call. It lists mixed platforms, so ask for a Next.js build it has shipped.
| 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 voice companies that want a long running US studio and will ask for references first |
8. Finsweet
Finsweet is based in Denver, USA, works as a distributed team, was founded in 2017, and has 51 to 200 people. Named clients include Dropbox, Clay, GitHub, and Steadily. GitHub sells to developers, the reader a voice API depends on.
It builds in Webflow, not Next.js, so it would not write your Next.js code or generate a page per voice from your API. Its AI proof is partial, and it publishes no minimum.
| Check | Finding |
|---|---|
| Based in | Denver, USA, distributed |
| Founded | 2017 |
| Team size | 51-200 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Developer tool clients, no AI case study |
| Named clients | Dropbox, Clay, GitHub, Steadily |
| Pricing | Not published |
| Best fit | Voice teams that decide Webflow suits the marketing site and keep the voice library inside the app |
9. Digidop
Digidop is a Paris, France studio founded in 2021, with 1 to 10 people and a published minimum. Named clients include TSE Energy, Ramify, and StreamNative. StreamNative sells real-time data streaming to engineers, a technical buyer like the developers who choose a speech API.
It builds in Webflow, not Next.js. Its AI proof is partial, and with 1 to 10 people it would build your pages one at a time.
| Check | Finding |
|---|---|
| Based in | Paris, France |
| Founded | 2021 |
| Team size | 1-10 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Technical B2B clients, no AI case study |
| Named clients | TSE Energy, Ramify, StreamNative |
| Pricing | Published minimum |
| Best fit | European voice startups with a small site that choose Webflow over Next.js |
10. Flow Ninja
Flow Ninja is a Belgrade, Serbia studio founded in 2018, with 11 to 50 people. Its AI proof is partial.
It ranks last because it builds in Webflow, not Next.js, and it publishes neither named clients nor a minimum.
| Check | Finding |
|---|---|
| Based in | Belgrade, Serbia |
| Founded | 2018 |
| Team size | 11-50 |
| Primary platform | Webflow |
| AI-sector proof | Partial. No named AI client or AI case study |
| Named clients | Not published |
| Pricing | Not published |
| Best fit | Voice startups that want a Webflow marketing site and are comfortable judging a studio on a call |
How to choose between them
Sort by where the voice gets lost today.
Nobody finds your voices in search. You need a page per voice, built from your voice data and readable without JavaScript. Studio Maydit or basement.studio.
People land, press play, and wait. You need audio that loads on tap, small files, and a page weight budget. Studio Maydit, basement.studio, or Feels Like, the studios here that write code first.
You sell a voice agent to contact centers. The site needs plain pages on call volume, handing a call to a person, and security. Pixelmatters, given its contact center client, or Clay, once either confirms who writes the Next.js.
Marketing wants to publish alone, and the library can live inside the app. Then Next.js may be the wrong brief. Finsweet in Webflow is the honest pick, with Digidop for a smaller site.
One test before you sign. Send each studio the link to one voice in your library and ask what a search engine sees on that page today. A strong studio answers with what is in the HTML. A weak one suggests a new color for the play button.
