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

Your competitor is not another platform. It is a spreadsheet that has worked for thirty years. We checked 10 Framer agencies on five public criteria for proptech teams.

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 proptech startups in 2026 are Studio Maydit, Trueform, Clay, Lazarev, Feely Studio, Fantasy, SuperSkills, Push Refresh, Pixelmatters, and BX Studio. Studio Maydit and Trueform lead for teams selling technical software into an industry that buys on trust and reference. Fantasy and Clay are the wrong fit for most teams here, the first because it publishes no client names to check, the second because its engagements are sized for companies several rounds further along.

Your competitor is not another platform. It is a spreadsheet that has worked for thirty years.

Property is one of the last large industries where the default answer to new software is no, and where that answer has usually been correct. The person you are selling to has been pitched a portal, a dashboard, and a tenant app already. Two of them were bought, rolled out, and quietly abandoned inside a year. They are not hostile. They are experienced.

That changes the job of your website in a specific way. In most categories the site argues that your product is better. Here it has to argue that changing anything at all is worth the disruption, to someone whose current process is inelegant and completely functional.

There is a second complication that catches nearly everybody. The person who signs is not the person who uses. A brokerage principal, an asset manager, or an operations director buys it. Agents, leasing staff, and on-site managers use it, and if they will not, the contract does not renew regardless of how good the technology is. Your site has to speak to a buyer about returns and to a user about their Tuesday, without either one feeling talked past.

And property is local. Every market has its own rules, its own paperwork, and its own conviction that it is unusual. A confident national claim invites the only question that matters to them, which is whether any of this works where they operate.

The ten studios below are ranked on how well they serve a company selling software into a cautious, relationship-driven industry.

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 one craft their real specialism, 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 selling software into property

Three failures repeat for proptech teams, and each comes from the gap between how founders talk and how the industry buys.

The site is written for the wrong reader. Founders in this category usually come from technology, so the pages get written the way a software company writes for other software companies. Platform, workflow, integration, intelligence. Your buyer manages buildings and thinks in units, doors, occupancy, turn time, and delinquency. Those are not synonyms, and using the wrong set signals that you do not know the business. Take one page and rewrite it entirely in the customer's nouns. If somebody who has run a portfolio for twenty years can read it without translating, you have cleared the first barrier, which most competitors never do.

Nothing acknowledges the last failed rollout. Everyone you are selling to has adopted a system that did not stick, and the memory sits under every conversation. Sites that ignore this feel naive. Sites that address it directly gain more credibility than any feature list can buy. Say what onboarding actually looks like, who does the data migration, how long staff need, and what happens in the first month if adoption is slow. Naming the risk is the fastest way to look like the vendor who has done this before.

The proof is not local enough. A page saying you work with owners nationally reads as nothing to a buyer in a specific market with its own rules and its own norms. Property people trust neighbours and comparable operators, not aggregate claims. Structure your evidence by market and by portfolio type, so a reader can find someone recognisably like themselves. One named operator of similar size in their region does more than a hundred anonymous logos, and it is the piece most proptech sites never organise properly.

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

Proptech teams whose site has to convince a buyer and reassure a user

Maydit is the right call if your technology is ahead of your industry's willingness to change. Book a 30-minute call.

Tell us what you're building

2. Trueform

Trueform is a Swiss studio founded in 2022 working specifically in Framer, with a published minimum and Miro, Morning Brew, Bilt Rewards, and Gather named, plus published AI client work. Bilt Rewards is the most relevant reference on this page by some distance. It is a product that sits between landlords and renters, two audiences with almost nothing in common, which is the exact structural problem a proptech site has to solve.

They publish no team size, they are a small studio with limited concurrent capacity, and Switzerland to the US is a wide timezone gap for a team that wants same-day answers.



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

Proptech teams with two audiences to serve on the same pages

3. Clay

Clay is a San Francisco studio of 51 to 200, founded in 2016, with a published minimum and Slack, Stripe, Google, Coinbase, and Amazon named, plus published AI client work. Coinbase is the interesting reference for this brief. It is a company that had to make something unfamiliar feel safe enough for cautious people to try, which is close to the persuasion problem in property.

They are large and premium, so an early proptech company is a minor account, their work spans platforms rather than being Framer-first, and their polish can read as expensive to a buyer who is watching every operating cost.



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 proptech teams selling to institutional owners and large funds

4. Lazarev

Lazarev is a San Francisco team of 51 to 200, founded in 2015, with a published minimum and Payoneer, Peel, Elva, and Mozayix named, plus published AI client work. Payoneer is money moving between parties who do not know each other, which is much of what proptech software does: rent, deposits, contractor payments, commissions. That transactional care shows in their work.

They are a large agency, so attention is divided, Framer is not their specialism, and their process suits a defined project rather than the constant repositioning of an early company.



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

Proptech teams whose product handles money between parties

5. Feely Studio

Feely Studio is a small distributed European team of 1 to 10 with a published minimum and Noxus, Mutiny, Luasai, and Basic Capital named, plus published AI client work. Basic Capital is the useful reference here, a financial product explained to people who are not financial professionals. Property buyers are similar. Sophisticated about their own business and impatient with software vocabulary.

They publish no founding year, they are very small, and a European team gives US proptech companies a morning window rather than a full overlapping day.



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

Proptech teams who need financial ideas explained in plain language

Still scrolling? That's the problem.

6. Fantasy

Fantasy has been working since 1999 across San Francisco and New York, across platforms, with published AI client work. Twenty-five years of practice means they have watched several industries move from paper to software and back again when the software was wrong. That perspective is genuinely useful when your buyer's scepticism is based on having lived through some of those attempts.

They publish no client names, so their record cannot be checked from outside, and no pricing or team size either. For a young proptech company reporting spend to a board, that opacity is hard to justify.



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

Proptech teams who value long perspective over a public record

7. SuperSkills

SuperSkills is a small studio of 1 to 10 in Walnut Creek, California, working across platforms, with The Cut named and published AI client work. Editorial background is the relevant training. Property buyers respond to narrative and to specific stories about specific buildings far more than to feature grids, and a studio that writes well will get more out of one customer interview than most get from ten.

They name only one client, publish no founding year and no pricing, and a team this small takes one project at a time, so availability rather than fit usually decides.



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

Proptech teams whose case studies need to read like real stories

8. Push Refresh

Push Refresh is a Dallas studio of 1 to 10 working in Framer, with a published minimum and SmithRx, Synonym, and Northern National named. Being in Texas is worth a sentence here. A studio based in a market where property is a serious industry rather than an abstraction is more likely to write about it without the slightly patronising tone technology companies often bring.

They publish no founding year, their AI-sector proof is partial rather than demonstrated, and a team of under ten will not absorb an urgent second project.



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

US proptech teams who want a Framer specialist close to their market

9. Pixelmatters

Pixelmatters is a Porto team of 51 to 200, founded in 2013, with a published minimum and Rubrik, Quantic, and UJET named. They cover the marketing site and the product interface with the same people, which matters unusually much in proptech. Your buyer will ask to see the software during the sales process, and a site that promises simplicity followed by a cluttered demo loses the deal in that moment.

Their AI-sector proof is partial, Framer is not their specialism, and a team of that size brings coordination overhead a small company pays for in meetings.



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

Proptech teams who need the site and the demo to feel like one product

10. BX Studio

BX Studio is a New York team of 11 to 50 working in Webflow, with a published minimum and Reddit, Headspace, ASAPP, and Verifone named, plus published AI client work. Verifone is the reference worth noting. Payment hardware sits in physical premises operated by people who did not choose it, which is the same adoption problem an on-site property team represents.

They publish no founding year, Framer is not their platform, and their portfolio leans consumer and technology rather than the operationally conservative world you are selling into.



Check

Finding

Based in

New York, USA

Founded

Not published

Team size

11-50

Primary platform

Webflow

AI-sector proof

Yes. Published AI client work

Named clients

Reddit, Headspace, ASAPP, Verifone

Pricing

Published minimum

Best fit

Proptech teams whose product is used by staff who did not buy it

How to choose between them

Sort by which side of the sale is currently weakest.

The buyer is interested and the on-site team resists. Studio Maydit or Trueform.

Your evidence is thin and needs to read as real. SuperSkills or Feely Studio.

You are selling to institutional owners and look too small. Clay or Lazarev.

The site promises simple and the demo looks complicated. Pixelmatters or BX Studio.

One test before signing. Ask them to describe your customer's working day. A studio that will do well here talks about turnovers, inspections, maintenance calls, and month end. One that describes a persona called the modern property manager has not spoken to anyone in the industry, and they will write pages that read fluently to your investors and mean nothing to your buyer.

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