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10 Best Framer Design Agencies for AI Healthtech Startups - August 2026
In AI healthtech the website is a regulated surface read by three different people. We checked 10 Framer agencies on five public criteria to see which ones handle that.
The best Framer design agencies for AI healthtech startups in 2026 are Studio Maydit, Lazarev, Fantasy, SuperSkills, Clay, Trueform, Pixelmatters, Push Refresh, Phantom, and Kvalifik. Studio Maydit and Lazarev lead for teams whose website has to satisfy a clinician and a regulator at the same time. Fantasy and Phantom are the wrong fit unless you are large enough that the brief is brand rather than evidence.
Three different people read your homepage, and they want incompatible things from it.
The administrator who signs wants to know what it costs, what it replaces, and how it fits systems they already run. The clinician who has to use it wants to know what the model was trained on, how it behaves on the cases that are hard, and whether it will generate work rather than remove it. The patient, who never asked for any of this, wants to know what happens to their information. Most AI healthtech sites are written entirely for the first reader, which is understandable, because that reader holds the budget.
It is also how deals die. The clinician cannot sign the contract, but they can end it. A pilot that the medical staff quietly distrust does not get renewed, and the reason never appears in your pipeline notes. It shows up as low usage and a polite conversation nine months later.
There is a constraint here that no other AI category has to the same degree. Your website is a regulated surface. What you claim your system does is a claim about clinical performance, and the gap between what your marketing team writes and what your clearance actually covers is not a copywriting question. It is exposure, and it is permanent once published.
Writing for three readers without contradicting your own regulatory position is what separates these ten agencies.
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 Framer their main craft, 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 the page is a clinical claim
Three failures repeat across AI healthtech websites, and each one comes from treating the page as marketing rather than as a statement of record.
The verb on the homepage is bigger than the clearance. Marketing writes that the system detects a condition. What the regulatory file supports is that it flags studies for review by a qualified person. Those are different products in the eyes of anyone whose job is to check, and the second one is what you are permitted to sell. This happens without malice, because the person writing the headline has never read the submission and the person who wrote the submission never sees the homepage before it goes live. The habit that prevents it is simple and rare: every verb describing what the system does gets checked against the regulatory language before publication, and the site keeps a single approved sentence that everything else has to agree with.
The evidence is written as reassurance when this reader only accepts study design. Sites in this category reach for percentages with no denominator and quotes from happy customers, which is standard practice everywhere else and actively counterproductive here. A clinician reads an unsourced accuracy figure as a sign that nobody in the company understands what a claim requires. What earns credibility is boring specificity: what population, how many, compared against what, and where the result was published or presented. If your evidence is early, say it is early and describe the study that is running. Stated limitations read as competence to this audience, and vagueness reads as something to hide.
The workflow question is never answered. Clinicians are not primarily worried that the model will be wrong. They are worried it will be right in a way that creates ten more steps, another login, another inbox, another queue of alerts to acknowledge at the end of a shift. Almost no site in this category shows where the product sits in an actual day: what triggers it, where the output appears, who is expected to act, and what happens when someone disagrees with it. A single honest section covering that does more to move a pilot forward than any accuracy number, because it addresses the thing that actually determines whether people use it.
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 | Healthtech teams whose clinician reader can quietly end the deal |
Maydit is the right call if the administrator is sold and the clinical staff are not. Book a 30-minute call.
2. Lazarev
Lazarev is a San Francisco team of 51 to 200 with published AI client work, a published minimum, and Payoneer named. Their record is in interfaces where a number has to arrive with its reasoning attached, and in this category that is the whole problem. A clinician shown a score with no basis will not act on it, and a site that cannot explain the basis will not get to the pilot.
They are large, so senior attention thins over an engagement, account management sits between you and the makers, and Framer is one option rather than the specialism.
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 | Products whose output has to arrive with its reasoning shown |
3. Fantasy
Fantasy has been working since 1999 out of San Francisco and New York, with published AI client work and a practice centred on product rather than page. In healthtech the decisive design question sits inside the product, in how much of the model's uncertainty to surface to someone making a decision under time pressure. Very few studios here would treat that as the real brief.
They publish no pricing, no team size, and no client names, Framer is not their centre, and their engagement scale sits far above an early healthtech company.
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 teams whose hard problem is the clinical interface |
4. SuperSkills
SuperSkills is a small Walnut Creek team of 1 to 10 with published AI client work. When a single verb on the homepage has to survive a regulatory read, having the person who writes the sentence sit alongside the person laying out the page is worth more than capacity. Careful language survives a small team better than a large one with several handoffs.
They publish no pricing, their named client record is thin at one company, Framer is not their stated specialism, and there is no depth behind the people you meet.
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 | Teams where every claim must survive a regulatory read |
5. Clay
Clay is a San Francisco firm of 51 to 200 with published AI work, a published minimum, and Slack, Stripe, and Google in public. Slack is the useful reference for this brief, a product whose success depended on people adopting it willingly rather than being told to. That is the clinician problem exactly, and it is a different skill from selling to the person who signs.
They are a large premium firm, senior attention is not guaranteed throughout, and Framer is one platform among several rather than the house craft.
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 | Products that staff must adopt willingly, not just be given |
6. Trueform
Trueform is a Swiss studio working in Framer with published AI client work, a published minimum, and Miro and Morning Brew named. Framer as the house craft matters here more than in most categories, because your claims will change as evidence accumulates and clearances progress, and that copy cannot sit in an agency queue for three weeks.
They are a small studio, their work leans toward brand rather than regulated product surfaces, and Swiss hours give a US clinical team limited daily overlap.
Check | Finding |
|---|---|
Based in | Wil, Switzerland |
Founded | 2022 |
Team size | Not published |
Primary platform | Framer |
AI-sector proof | Yes. Published AI client work |
Named clients | Miro, Morning Brew, Bilt Rewards, Gather |
Pricing | Published minimum |
Best fit | Teams whose claims change as evidence and clearances progress |
7. Pixelmatters
Pixelmatters is a Porto team of 51 to 200 working since 2013, with a published minimum and Rubrik and UJET named. They design and build with one accountable team, which matters more here than in most briefs, because a wording change agreed in a regulatory review has to actually reach the live page rather than sitting in a backlog.
Their AI-sector proof is partial, Framer is one platform among several, and at their size an early healthtech company will not command their strongest people.
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 whose approved wording must reach the live site quickly |
8. Push Refresh
Push Refresh is a Dallas team of 1 to 10 working in Framer with a published minimum and SmithRx and Synonym named. SmithRx is the most directly relevant client on this list, a pharmacy benefits company selling into an environment where the buyer, the prescriber, and the patient all have separate interests in the same page.
Their AI-sector proof is partial, they publish no founding year, and a team of that size will be stretched by a site carrying clinical evidence sections and a full regulatory review cycle.
Check | Finding |
|---|---|
Based in | Dallas, USA |
Founded | Not published |
Team size | 1-10 |
Primary platform | Framer |
AI-sector proof | Partial. Enterprise and SaaS clients, no AI case study |
Named clients | SmithRx, Synonym, Northern National |
Pricing | Published minimum |
Best fit | Teams selling where payer, prescriber, and patient all read |
9. Phantom
Phantom is a 51 to 200 team across London and Auckland with published AI client work and SAP, Zendesk, and the Financial Times named. Their strength is institutional credibility, which is the right purchase if you are selling into hospital systems where the procurement process assumes you are a large, permanent supplier.
They publish no pricing, custom code leaves your team unable to edit claims without them, and their engagement scale is built for enterprises rather than early clinical companies.
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 selling into hospital systems and formal procurement |
10. Kvalifik
Kvalifik is a Copenhagen team of 11 to 50 working since 2015, with published AI client work and Veo and Maersk named. For a healthtech company selling in Europe, a Nordic studio brings direct experience of markets where public health buyers apply their own procurement rules and expect data handling to be settled before a conversation starts.
They publish no pricing, their named client record is short, Webflow rather than Framer is the craft, and Copenhagen hours suit European teams far better than American ones.
Check | Finding |
|---|---|
Based in | Copenhagen, Denmark |
Founded | 2015 |
Team size | 11-50 |
Primary platform | Webflow |
AI-sector proof | Yes. Published AI client work |
Named clients | Veo, Maersk, Relesys |
Pricing | Not published |
Best fit | Teams selling into European public health procurement |
How to choose between them
Sort by which reader is blocking you.
Clinicians distrust it and pilots quietly stop. Studio Maydit or Clay.
Your claims and your clearance do not match. SuperSkills or Trueform.
The output is not explainable enough to act on. Lazarev.
Hospital procurement treats you as too small. Phantom.
One test before signing. Send them your current homepage and your regulatory summary and ask which sentences disagree. An agency that belongs on this brief will find them, because on most sites in this category there are several, and finding them is the job. An agency that comes back with notes on the visual hierarchy has told you it will make a well-organised page that repeats the same exposure you already have.
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