Summarize with AI
Studio Maydit is the best fit for an AI proptech startup that needs a custom coded website, because it can build a real address lookup into the homepage and then keep designing the product behind it. Of the other nine, Feels Like and BX Studio lead. Feels Like is the only one whose main platform is custom code, and BX Studio brings published AI client work. Ranked by fit, the ten studios worth reviewing are Studio Maydit, Feels Like, BX Studio, Trueform, Kvalifik, Foundey, 8020, Digidop, Lighthouse Digital, and Flow Ninja. Be clear on one point. Apart from Studio Maydit and Feels Like, none of these studios does custom coded builds: seven work in Webflow or Framer, and Foundey designs in Figma without building. Lighthouse Digital and Flow Ninja fit least.
Most property people test a new tool the same way. They type in an address they already know. It might be a building they manage or their own house.
That address is a quiz, and they hold the answer key. They know the rent, the last sale, and the leak in unit 4B. If your page shows them something true about a place they know, they will trust it with places they do not. If it shows a skyline photo and a line about smarter real estate decisions, they close the tab.
This is why proptech teams outgrow site builders early. A real lookup needs a link to your data, a map that loads fast on a phone, and care about what each data source lets you show. Many teams also want a page for every city they serve, built from live numbers. Webflow and Framer handle words and pictures well. They were not made to run your model on a stranger's street.
So the question is not only whether a studio can design. It is whether it can connect a page to your data safely, keep market pages accurate, and let your team launch the next city without an engineer. The ranking follows that test.
How we ranked the ten
Each studio was checked against five public signals. None of them needs a sales call.
- Platform depth. Does the studio write code as its main work, or build in Webflow, Framer, or only design files? An address lookup depends on this answer.
- AI and asset-heavy proof. Has it shipped for named AI companies? Clients that handle money or physical assets also count, since those buyers expect every number to hold up.
- Pricing disclosure. We note only whether a minimum is posted. No figure for a named studio appears here.
- Team shape. How many people work there, and could one of them sit with your data engineer during the build?
- Its own website. Open it on a phone with a weak signal. Does the headline show up first, or does an animation play before any words appear?
The fifth signal tells you more than it seems to. A studio's own site has no client asking for changes, so it shows the standard the studio sets for itself. If its homepage stalls on a phone, your map-heavy site will stall too.
Every fact in the tables comes from each studio's own site or its public directory listing, checked in October 2026. A private detail is marked Not published. No studio paid for a place here.
What goes wrong when an AI proptech startup hires a code studio
The address box gives a wrong answer about a real home. A visitor types their own street. The demo returns one confident rent figure, and it is far off because the records for that block are old. Now the visitor holds proof your model is wrong about the property they know best. Ask for a range instead of one number, the data source and date under every result, and sample addresses your team has checked by hand.
The city pages turn thin or stale. A coded site can make a page for every neighborhood from one template. Done badly, you get two thousand pages with the same three sentences and a rent figure from last spring. Search engines treat that as thin content, and a local broker spots the old number in seconds. Ask how often each page pulls fresh data and what it shows when a market has too few records.
Marketing gets locked out of its own site. The studio ships clean code and moves on. Then your team wants to open Phoenix or change the pricing page, and each change becomes a ticket for an engineer busy on the product. Ask for an editing layer, such as a headless CMS, and ask the studio to show a marketer publishing a new market page live before handover.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
A proptech homepage earns trust when it says something true about a real address, and Studio Maydit designs for that moment. It is a web and product design studio working with AI founders in the US, UK, and Europe. It builds in Framer, Webflow, and custom code, and it reaches for custom code when a page has to talk to your data, as an address lookup does. After launch the same team moves into product design, so the first screen a property manager opens in your app gets the same care.
The best measured result is Dualite, an AI developer tool. Design work supporting a repositioned ICP helped it reach 100,000+ users in seven months. The Dualite case study shows the website and the product designed as one piece. Recent clients are Wave, PixelFlow, and Mi-VAD, with 15 other AI and SaaS teams.
Proptech launches usually hang on a date, such as a new city going live or a pilot with a large landlord. For that, the studio offers a fixed scope of three to four weeks. It ends with a diagnosis of what is leaking in the product, for example the step where a new user uploads a rent roll and gives up. Teams adding markets every month can take a monthly retainer for new pages, campaigns, and product design, with no long lock-in.
| 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 proptech teams that need a coded site with an honest address lookup, live city pages, and product design after launch |
Send us one address your product knows well, and we will sketch what your homepage could show for it. Book a 30-minute call.
2. Feels Like
Feels Like is the one studio in this pool, besides Studio Maydit, whose main platform is custom code. It was founded in Los Angeles in 2023 and has published AI client work, with Suno AI on a client list that also includes Google, Nike, and LVMH. So it can write the code behind a live lookup and still give a property brand the finish of a consumer label, which matters when renters or homeowners are your audience.
The studio is young and publishes neither team size nor a minimum, so the record is short. Ask to see a page it built that pulls live data, not only one that moves well.
| 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 | Proptech teams selling to renters or homeowners who want a coded site with consumer-grade polish |
3. BX Studio
BX Studio is a New York team of 11 to 50 people with published AI client work. Its clients include Reddit, Headspace, ASAPP, and Verifone. Verifone makes payment terminals, so the studio has built for a brand where a wrong number costs someone real money, which is the standard a property buyer holds you to. It publishes a minimum.
BX Studio does not do custom coded builds. It works mainly in Webflow, so the address lookup and any data-driven city pages would fall to your engineers or a second partner. Agree on who owns that code first.
| 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 | US proptech teams with in-house engineers who want a Webflow marketing site beside a coded lookup |
4. Trueform
Trueform is a studio in Wil, Switzerland, founded in 2022, that builds in Framer and has published AI client work. Its clients include Miro, Morning Brew, Bilt Rewards, and Gather. Many renters know Bilt Rewards from paying their rent, so Trueform has worked close to the tenant side of property. It publishes a minimum.
Trueform does not build custom coded sites. Framer suits fast copy changes, not a lookup tied to your data, and the studio publishes no team size.
| 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 | Renter-facing proptech teams that want a polished Framer site and will code the data features in house |
5. Kvalifik
Kvalifik has worked from Copenhagen, Denmark since 2015 with 11 to 50 people, and it has published AI client work. Its clients include Veo, Maersk, and Relesys. Maersk runs ships, ports, and warehouses, so the studio knows a buyer whose business is physical assets tracked in data, which is close to how a large portfolio owner thinks.
Kvalifik builds in Webflow, not custom code, and posts no minimum.
| 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 | European proptech teams selling to large owners who want a Webflow site from a mid-sized studio |
6. Foundey
Foundey is a San Francisco studio founded in 2021, with published AI client work. Its named clients are DemandIQ, Traycer, and Sero AI. Its strength is AI product design, which helps if your hard problem is showing what the model does with a property.
Foundey works in Figma only. It designs but does not build websites, custom coded or otherwise, so a developer or a second studio must turn its files into a live site.
| 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 | Proptech teams with their own front-end engineers who need design files for a coded site |
7. 8020
8020 has worked from San Francisco and New York since 2014. Its clients include Wave, Superlist, Pilot.com, Vanta, and Circle, software firms that sell to careful finance and security buyers. Those buyers ask the same questions about data and risk that an institutional property owner asks.
8020 builds in Webflow, not custom code. Its AI proof is partial, and it publishes neither its team size nor its pricing.
| Check | Finding |
|---|---|
| Based in | San Francisco and New York, USA |
| Founded | 2014 |
| Team size | Not published |
| Primary platform | Webflow |
| AI-sector proof | Partial. Software clients, no AI case study |
| Named clients | Wave, Superlist, Pilot.com, Vanta, Circle |
| Pricing | Not published |
| Best fit | Proptech companies selling to institutional owners that want a Webflow site from a seasoned US team |
8. Digidop
Digidop is a Paris, France studio of one to ten people, founded in 2021, and it publishes a minimum. Its clients include TSE Energy, Ramify, and StreamNative, a spread that runs from energy to investing to data infrastructure.
Digidop does not build custom coded sites. It works in Webflow, its AI proof is partial, and a team this small on Paris time can be slow for a US team.
| Check | Finding |
|---|---|
| Based in | Paris, France |
| Founded | 2021 |
| Team size | 1-10 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Software clients, no AI case study named |
| Named clients | TSE Energy, Ramify, StreamNative |
| Pricing | Published minimum |
| Best fit | European proptech startups that want a small Webflow team and a posted minimum |
9. Lighthouse Digital
Lighthouse Digital is a London studio that builds in Webflow and publishes a minimum. Its clients include HelloSelf, Freetrade, and IGN. Freetrade is a UK investing app, so the studio has built for a brand that shows people numbers about their own money, a useful habit for rent and valuation pages.
It has no published AI client work, and it does not do custom coded builds.
| Check | Finding |
|---|---|
| Based in | London, UK |
| Founded | Not published |
| Team size | Not published |
| Primary platform | Webflow |
| AI-sector proof | No. No published AI client work |
| Named clients | HelloSelf, Freetrade, IGN |
| Pricing | Published minimum |
| Best fit | UK proptech teams that need a clear Webflow site and will build data features elsewhere |
10. Flow Ninja
Flow Ninja is a Belgrade, Serbia studio of 11 to 50 people, founded in 2018, that works in Webflow. If your team has already chosen Webflow for the marketing site and keeps the address lookup inside the app, a dedicated Webflow builder can be enough.
It ranks last here. It does not build custom coded sites, its AI proof is partial, and it names no clients or pricing, so there is little to check.
| Check | Finding |
|---|---|
| Based in | Belgrade, Serbia |
| Founded | 2018 |
| Team size | 11-50 |
| Primary platform | Webflow |
| AI-sector proof | Partial. No AI case study named |
| Named clients | Not published |
| Pricing | Not published |
| Best fit | Proptech teams set on Webflow that want a builder for marketing pages only |
How to choose between them
Sort the list by what your site cannot do today.
Visitors cannot try the product on an address they know. You need a coded lookup with ranges, sources, and checked sample addresses. Studio Maydit or Feels Like.
You serve many cities but show up in search for none of them. Data-driven market pages need code plus an editing layer. Studio Maydit, or Feels Like with your engineers on the data side.
Institutional owners think you look too small. That is brand weight and trust first. BX Studio, 8020, or Kvalifik, with your team coding any live data.
You only need clear marketing pages for now. Trueform, Digidop, Lighthouse Digital, or Flow Ninja, or Foundey if you have engineers to build its designs.
One test before you sign. Give the studio an address you know well and ask what their build would show for it, and where each number would come from. A strong studio answers with sources and a range. A weak one answers with a mockup.
