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10 Best Next.js Development Agencies for B2B AI SaaS Companies - August 2026
You picked Next.js because your engineers wanted it. Now changing a headline is a pull request.
The best Next.js development agencies for B2B AI SaaS companies in 2026 are Studio Maydit, Engine Digital, basement.studio, Phantom, Feels Like, Pixelmatters, Clay, Lazarev, SuperSkills, and Feely Studio. Studio Maydit and basement.studio lead for this brief, because both build in custom code for AI-native companies and basement.studio has shipped work for Vercel, Cursor, and Scale AI. SuperSkills and Feely Studio are the wrong fit here, since both are teams of one to ten working across platforms rather than engineering shops, and one of them names a single client.
Choosing Next.js for the marketing site usually happens for a good reason and creates a bad situation.
The reason is sound. Your product is already React. Your engineers know the framework. The site needs a live demo, a pricing calculator, gated documentation, or something else a visual builder will fight you on. Putting the site in the same stack as the product means one language, one deployment story, and one set of components.
Then the site ships, and the trouble starts. Marketing wants the headline changed. That headline is a string in a file in a repository, so it becomes a branch, a pull request, a review from an engineer who was doing something else, and a deploy. What used to take four minutes now takes two days and irritates two people.
Multiply that by a company that is testing messaging weekly, which every B2B AI company is, because the category is moving faster than anybody's positioning. The marketing site quietly becomes the slowest surface you own, inside a company that ships to production several times a day. That is an absurd outcome and it is extremely common.
There is a compounding version too. Once changes are expensive, people stop making them. The site stops being tested. It drifts a year behind what the product does, and nobody notices until a prospect asks about a feature that shipped last spring and is not mentioned anywhere on the page.
None of this means Next.js was the wrong choice. It means the choice has a cost, and the cost is paid in editing rather than in building. The ten studios below are ranked on how well they handle that specific trade.
How we picked these agencies
Every studio here was tested against five questions, using nothing but what is publicly visible:
Platform depth. Do they genuinely build in code, or is custom development subcontracted behind a design service?
Proof with B2B AI SaaS. Has the studio shipped for companies selling software to other businesses where a model is the product?
Pricing. Is a starting figure public, or does the number only appear after two conversations?
Team shape. Are the engineers named, and do they stay on the project after launch?
Their own site. Is it fast, and is it clear? Both are testable from where you are sitting.
That last check is more literal than usual in this category. Open a candidate's own homepage on a throttled connection and watch what happens. A studio that ships a slow site for itself will ship one for you, and no proposal will tell you that.
Everything in the tables is drawn from published material, in most cases each studio's own website. Anything a studio has not published is recorded as not published rather than guessed at.
What goes wrong on a Next.js marketing site
Three failures account for most of the regret here, and none of them are about whether the framework was a good idea.
The site lives in the product repository and loses every argument. Marketing changes end up queued behind product work, reviewed by engineers who would rather be shipping features, and shipped in a deploy that carries real risk. Nobody planned this. It just follows from the site sharing a repository and a release process with the thing that makes money. Split them. A separate repository, a separate deployment, and permission for the marketing site to break without breaking anything else removes most of the friction on its own, and it costs a day to set up at the start and a fortnight to retrofit later.
You build a content system nobody needed. Somewhere in week two, a sensible engineer suggests the copy should not be hardcoded, and they are right. What follows is often four weeks of schema design, preview environments, and editorial workflow for a site with nine pages and one blog. The proportion is wrong. For most B2B AI companies at this stage, a hosted headless service with three content types covers everything, takes two days, and lets a marketer publish without help. Build the custom system when the volume justifies it, which is usually two years after anyone first proposes it.
Performance is fast at launch and nobody owns it afterwards. Next.js can produce a genuinely quick site, and the version that shipped almost certainly was. Then analytics goes on, then a chat widget, then a heavy animation library for one section, then three unoptimised hero images from a campaign. Eighteen months later the custom-built site is slower than the visual-builder site it replaced, which is an embarrassing thing to discover and a hard one to explain. Put a performance budget in the contract, wire a check into the deploy, and name the person who reads it.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
The useful question for a Next.js team is not whether a studio can write React. It is whether they will tell you when you do not need to. Studio Maydit builds in Framer, Webflow, and custom code and chooses between them per project, which means the recommendation is not decided by what the studio happens to sell. It is a web and product design studio, founder-led with a small senior team, working with AI founders in the US, UK, and Europe, and the work carries on into product design once the site is live.
There are two ways to engage. A fixed scope of three to four weeks for a defined build. A monthly retainer for teams shipping continuously, covering new pages, campaigns, and product design, with no long lock-in. Every fixed-scope project ends with a diagnosis of what is leaking in the product, rather than a repository handover and silence.
Public evidence is one number, which is about the right amount for a claim like this. Dualite: 100,000+ users, seven months, after design work aimed at a repositioned ICP. The recent client list holds Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
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 deciding which parts truly need to be in code |
Worth a call if your marketing site is stuck behind your product roadmap. Book a 30-minute call.
2. Engine Digital
Engine Digital works from Vancouver and New York, founded in 2002, building in custom code, with Adidas, Autodesk, Goldman Sachs, and HP named. Autodesk is complex B2B software, and two decades of custom builds means the engineering practice around release, testing, and handover is likely to be mature rather than improvised.
They publish no pricing and no team size, their AI-sector proof is partial, and their engagement model assumes a planning phase most SaaS marketing teams will find slow.
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 | Larger B2B companies commissioning a substantial build |
3. basement.studio
basement.studio works from Mar del Plata and Los Angeles, founded in 2018, in custom code, with a published minimum and Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI named. Vercel is the company behind Next.js and Harvey AI is B2B software sold into a demanding profession, so both halves of this brief are covered directly.
They are 11 to 50 people split across two continents, and their work sits at the ambitious end, which usually means longer timelines and more moving parts than a straightforward site needs.
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 who want the site to be genuinely interactive |
4. Phantom
Phantom is a London and Auckland studio of 51 to 200, founded in 2013, building in custom code, with Diageo, SAP, Financial Times, and Zendesk named. SAP and Zendesk are both B2B software companies selling through procurement, which is a useful reference if your buyers arrive with a security questionnaire.
They publish no pricing and no team detail, and a firm of that size is a heavy engagement for a SaaS company that mainly needs to change its message quickly.
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 | Enterprise SaaS with compliance-heavy buyers |
5. Feels Like
Feels Like is a Los Angeles studio founded in 2023, building in custom code, with Google, Nike, LVMH, and Suno AI named. Suno AI is a genuine AI-native client and the custom code practice means the design and the build stay with the same team, which removes the usual translation losses at handover.
They publish no pricing and no team size, and a studio founded in 2023 has a short record for a company that needs a partner still around in two years.
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 want design and build from the same people |
6. Pixelmatters
Pixelmatters is a Porto team of 51 to 200, founded in 2013, working across platforms, with a published minimum and Rubrik, Quantic, and UJET named. Rubrik and UJET are both B2B software companies, and this studio runs like an engineering organisation, so estimates, documentation, and testing tend to be taken seriously.
Their AI-sector proof is partial, and a firm that size works in planned cycles, which is a poor match for a marketing team that wants to change a page this week.
Check | Finding |
|---|---|
Based in | Porto, Portugal |
Founded | 2013 |
Team size | 51-200 |
Primary platform | Mixed |
AI-sector proof | Partial. Enterprise and SaaS clients, no AI case study |
Named clients | Rubrik, Quantic, UJET |
Pricing | Published minimum |
Best fit | Teams who want engineering discipline over speed |
7. 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. Stripe in particular is the reference point most B2B software companies use when they talk about documentation and developer-facing clarity.
Their engagements assume a client with design leadership in place, and a studio of that scale is an expensive way to solve a content editing problem.
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 companies rebuilding the whole marketing surface |
8. Lazarev
Lazarev is a San Francisco firm of 51 to 200, founded in 2015, working across platforms, with a published minimum and Payoneer, Peel, Elva, and Mozayix named. They take marketing and product work together, which matters when your site includes an interactive demo that has to behave like the product it is imitating.
At that scale the team is assigned rather than named, and continuity after launch depends on what the contract says rather than on who you met.
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 | Teams whose site and product have to behave alike |
9. SuperSkills
SuperSkills is a Walnut Creek team of one to ten working across platforms, with The Cut named and published AI client work. A team that small stays consistent through the whole engagement and can usually begin within days, which suits a short, well-defined piece of work.
They publish no pricing and no founding year, custom development is not the stated specialism, and one named client is thin evidence for a build of any size.
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 | Small, defined design work rather than a code build |
10. Feely Studio
Feely Studio is a distributed European team of one to ten with a published minimum and Noxus, Mutiny, Luasai, and Basic Capital named. Mutiny is a B2B software company built around conversion, so the studio has worked where the page itself is measured, and the published price makes evaluation quick.
They publish no founding year, one to ten people is not an engineering team, and European hours limit overlap with a US-based product organisation.
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 who need design rather than development capacity |
How to choose between them
Sort by what is actually blocking you.
The site needs to do something a builder cannot. Studio Maydit or basement.studio.
A large, long-lived build with real engineering practice. Engine Digital or Phantom.
Buyers arrive through procurement and security review. Phantom or Pixelmatters.
Design and build without a handover between them. Feels Like or Lazarev.
One test before you sign. Ask a candidate how a marketer at your company would change the pricing page headline after launch, and make them describe the actual steps. A studio that has lived with this will answer with a workflow, naming where the content sits and who can publish. A studio that has not will say the change would be quick for them to make, which is a different answer to a different question, and it is the answer that turns into two hundred small invoices over the following year.
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