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10 Best Framer Design Agencies for AI Cybersecurity Startups - August 2026

Security buyers are trained to distrust anything that looks too smooth. We checked 10 Framer agencies on five public criteria to see which ones can build credibility instead of polish.

Siddarth Ponangi

Founder, Studio Maydit

Design partner for AI companies

We design products and websites for AI companies that help them look and feel like a category leader.

The best Framer design agencies for AI cybersecurity startups in 2026 are Studio Maydit, Trueform, Lazarev, SuperSkills, Feely Studio, Fantasy, Clay, Ramotion, Push Refresh, and Foundey. Studio Maydit and Trueform lead for security teams who need a Framer site that reads as credible to a technical buyer. Fantasy and Clay are the wrong fit unless you are buying brand at agency scale rather than a website.

Your buyer is a professional skeptic. That is not a personality trait, it is the job description.

A security practitioner spends their working life looking at things that are trying to appear legitimate and deciding which ones are not. They read a landing page the way they read a suspicious email. Confident claim, no evidence. Impressive number, no methodology. A logo wall where you cannot tell if those are customers or companies somebody once spoke to.

Most marketing advice tells you to sound more assured. In security that instinct works against you, because the register that persuades a growth buyer is the exact register that makes a practitioner reach for the back button. Too smooth reads as too good to be true, and too good to be true is the pattern they are paid to catch.

Then there is the second reader. Somebody in procurement or legal who will never care how the model works and only wants to know where the data goes, who has access, and what happens when you are breached.

So a cybersecurity site has an unusual job. It has to be plain enough that a practitioner believes it and complete enough that a reviewer can clear it. Neither of those is achieved by looking impressive.

Most AI products look the same. Yours doesn't have to.

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:

  1. Platform depth. Is Framer the main build tool, or one line on a long service menu?

  2. AI-sector proof. Named AI clients and published work, or just the word "AI" in the copy?

  3. Pricing. Do they publish a minimum at all, or keep it behind a call?

  4. Team shape. Who actually does the work, and how many clients are they carrying at once?

  5. 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 on a security company's website

Three failures repeat, and each one costs you the technical reader first.

The headline claim cannot be defended. A detection rate, a false positive percentage, a time to containment. Somebody puts a number on the homepage because it sounds strong, and there is no test, no dataset, and no footnote behind it. A practitioner does not argue with that number. They stop reading, because a claim with no method behind it tells them what kind of company you are. If you have a real benchmark, show how it was run. If you do not, describe what the product does and let it be enough.

The model gets top billing and the outcome gets none. Security teams are exhausted, and what they want to know is whether their queue gets shorter, whether the alerts get more trustworthy, and whether the analyst who joined last month can operate it. Instead the homepage explains the architecture, because that is what the founders find interesting. Your buyer will get to the architecture. They will get to it after they believe the outcome, not before.

The review material is missing, so deals stall after the demo. The technical evaluation goes well, and then it goes quiet, because somebody has to answer questions about data handling, retention, subprocessors, and certifications, and none of that is on your site. Weeks disappear into email. This is the cheapest problem on the page to fix and the one most likely to be scoped out of a website project, usually because it feels like legal work rather than design work. It is neither. It is a page.

Tell us what you're building

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

Security teams who need a site a practitioner trusts and a reviewer can clear

Maydit is the right call if your product is genuinely good and the site is currently making it sound like everybody else's. Book a 30-minute call.

Tell us what you're building

2. Trueform

Trueform is a Swiss studio built specifically around Framer, with clients including Miro and Bilt Rewards. Their work is restrained rather than loud, which is the right register for a security audience, and they build natively in Framer instead of exporting from Figma. That matters here for a specific reason. When a claim has to be softened after legal review, and it will be, your own team can make that edit the same day.

They are a small senior studio with no published team size and no third-party review presence, so capacity, not quality, is the question for the first call.



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

Security startups who want precise Framer craft and expect to keep editing claims

3. Lazarev

Lazarev is a San Francisco studio of 51 to 200 doing product and web design for clients including Payoneer and Elva. Fintech work is the relevant experience here. They have repeatedly designed for products where being trusted is the feature, and where a regulator or a reviewer eventually reads the same screens the customer does.

They are mixed platform rather than Framer specialists, and a studio of this size runs a heavier process than a small security team usually wants for a marketing site.



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

Security companies whose console needs design work alongside the website

4. SuperSkills

SuperSkills is a very small studio in Walnut Creek with published AI client work. For an early security company the appeal is that there is no layer between you and the person designing. Claims that need care get discussed directly rather than passed through an account manager who does not know why the wording matters.

Their public record is thin, with one named client, no published founding year, no team size, and no pricing. You would be buying on the conversation and the portfolio in front of you.



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

Early security startups who want direct senior attention on sensitive wording

5. Feely Studio

Feely Studio is a small distributed European team working with AI companies including Noxus and Mutiny. They publish a starting figure, which saves time, and being European matters more for a security vendor than for most companies, because a buyer subject to European data rules will ask where your suppliers sit.

They are a one to ten person studio, so parallel capacity is limited, and their published work leans toward marketing sites rather than the technical documentation surfaces security buyers dig into.



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

European security startups who want a small senior team and a published starting point

Still scrolling? That's the problem.

6. Fantasy

Fantasy has been running since 1999 across San Francisco and New York, with published AI work and a long record of designing interfaces for categories that did not exist yet. Security tooling has genuinely hard interface problems, particularly around showing a machine's reasoning to an analyst who has to sign off on it, and that is the kind of problem this studio is built for.

They publish no client list, no team size, and no pricing, and an agency of this scale is oriented to large committed engagements rather than a startup website.



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 security companies solving a genuinely new interface problem

7. Clay

Clay is a San Francisco studio of 51 to 200 with brand and product work for Slack, Stripe, and Coinbase. The Coinbase and Stripe work is the relevant part, because both are companies where the brand had to communicate safety without becoming dull. That is the exact tension a security startup lives with.

They are a premium studio with a published minimum that will screen out most early teams, and a brand engagement is a bigger and slower commitment than a Framer site.



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

Well funded security companies who need an identity that signals trust at scale

8. Ramotion

Ramotion is a San Francisco studio running since 2009 with brand and product work for Mozilla, Okta, and Netflix. Okta is a security company, and that engagement is the most directly relevant credential in this pool. They also publish a minimum, which is unusual at their tier.

Their published AI-sector work is partial, and brand-led engagements move more slowly than a security team trying to fix a homepage before a conference usually has patience for.



Check

Finding

Based in

San Francisco, USA

Founded

2009

Team size

11-50

Primary platform

Mixed

AI-sector proof

Partial. Enterprise and SaaS clients, no AI case study

Named clients

Mozilla, Okta, Netflix, Adobe, Xero

Pricing

Published minimum

Best fit

Security startups whose identity needs to look established before the site does

9. Push Refresh

Push Refresh is a very small Dallas studio working across Framer and Webflow, including migrations between the two. They are one of only two genuinely Framer-first teams on this page. For a security company the practical benefit is speed with direct contact, which matters when a claim has to change quickly because counsel asked for it.

A one to ten person studio has limited parallel capacity, and their published work is healthcare and services rather than security or AI.



Check

Finding

Based in

Dallas, USA

Founded

Not published

Team size

1-10

Primary platform

Framer

AI-sector proof

Partial. Healthcare and services clients, no AI case study

Named clients

SmithRx, Synonym, Northern National

Pricing

Published minimum

Best fit

Security teams who want a fast Framer build and a direct line to the builder

10. Foundey

Foundey is a San Francisco studio founded in 2021 working with early AI companies including DemandIQ and Sero AI. They are close to the stage most security startups are at when they first take the website seriously, and their work shows a habit of explaining products that need explaining.

They work in Figma and do not own the build, so you will need someone to implement in Framer, and they publish neither pricing nor team size.



Check

Finding

Based in

San Francisco, USA

Founded

2021

Team size

Not published

Primary platform

Figma-only

AI-sector proof

Yes. Published AI client work

Named clients

DemandIQ, Traycer, Sero AI

Pricing

Not published

Best fit

Security teams with an implementer already in place who only need the design

How to choose between them

Sort by which reader you are currently losing.

Practitioners bounce because the site sounds like marketing. You need restraint and precision. Studio Maydit or Trueform.

Deals stall after the demo, in review. The gap is your trust and documentation pages, not your homepage. Studio Maydit or Push Refresh, quickly.

Analysts cannot follow what the system decided or why. That is product design. Lazarev or Fantasy.

You look like a small vendor next to the incumbent. That is identity work. Ramotion or Clay.

One test before signing. Give them your boldest product claim and ask how they would put it on a homepage. An agency that asks how you measured it, and what happens if a customer tests it, understands your buyer. An agency that offers to make it hit harder is going to build you something a practitioner will not finish reading.

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