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Real estate & proptech

Proptech Software Development

Proptech Software Development

Proptech Software Development

Proptech Software Development

Proptech teams for marketplaces, transactions and bookings that both sides use

A proptech marketplace is only as good as its supply, and supply disappears when agents and owners won't use the tools. Kubikware has built proptech marketplaces and booking platforms around both sides of the market, with senior nearshore talent that designs for the people listing as carefully as for the people searching.

A proptech marketplace is only as good as its supply, and supply disappears when agents and owners won't use the tools. Kubikware has built proptech marketplaces and booking platforms around both sides of the market, with senior nearshore talent that designs for the people listing as carefully as for the people searching.

Where proptech products get stuck

Where proptech products get stuck

Where proptech products get stuck

  1. 01

    Listing data is never as clean as planned.

    Feeds conflict, records duplicate and the same property shows up three times with three prices. Deduplication ends up being one of the most valuable features the product has.

  2. 02

    Search that doesn't match how people decide.

    Filters for price and bedrooms miss what renters and buyers actually care about, like commute, light or neighborhood. People scroll, get frustrated and go back to the listing sites they already know.

  3. 03

    Every new market is an engineering release.

    Currency, documents and legal steps get bolted on as transactions cross borders. Each new country or state turns into a project, and expansion moves slower than the business wants.

  4. 04

    Operations run on disconnected systems.

    Bookings, contracts and CRM live in separate tools that do not talk to each other. Guests and clients feel every gap, and the team spends its day copying data between systems.

  5. 05

    AI matching without good data.

    Recommendations and pricing models only work on clean, normalized listings. On messy data, matches feel random and users lose trust in the product after a few searches.

  1. 01

    Listing data is never as clean as planned.

    Feeds conflict, records duplicate and the same property shows up three times with three prices. Deduplication ends up being one of the most valuable features the product has.

  2. 02

    Search that doesn't match how people decide.

    Filters for price and bedrooms miss what renters and buyers actually care about, like commute, light or neighborhood. People scroll, get frustrated and go back to the listing sites they already know.

  3. 03

    Every new market is an engineering release.

    Currency, documents and legal steps get bolted on as transactions cross borders. Each new country or state turns into a project, and expansion moves slower than the business wants.

  4. 04

    Operations run on disconnected systems.

    Bookings, contracts and CRM live in separate tools that do not talk to each other. Guests and clients feel every gap, and the team spends its day copying data between systems.

  5. 05

    AI matching without good data.

    Recommendations and pricing models only work on clean, normalized listings. On messy data, matches feel random and users lose trust in the product after a few searches.

  1. 01

    Listing data is never as clean as planned.

    Feeds conflict, records duplicate and the same property shows up three times with three prices. Deduplication ends up being one of the most valuable features the product has.

  2. 02

    Search that doesn't match how people decide.

    Filters for price and bedrooms miss what renters and buyers actually care about, like commute, light or neighborhood. People scroll, get frustrated and go back to the listing sites they already know.

  3. 03

    Every new market is an engineering release.

    Currency, documents and legal steps get bolted on as transactions cross borders. Each new country or state turns into a project, and expansion moves slower than the business wants.

  4. 04

    Operations run on disconnected systems.

    Bookings, contracts and CRM live in separate tools that do not talk to each other. Guests and clients feel every gap, and the team spends its day copying data between systems.

  5. 05

    AI matching without good data.

    Recommendations and pricing models only work on clean, normalized listings. On messy data, matches feel random and users lose trust in the product after a few searches.

Where proptech products get stuck

Where proptech products get stuck

  1. 01

    Listing data is never as clean as planned.

    Feeds conflict, records duplicate and the same property shows up three times with three prices. Deduplication ends up being one of the most valuable features the product has.

  2. 02

    Search that doesn't match how people decide.

    Filters for price and bedrooms miss what renters and buyers actually care about, like commute, light or neighborhood. People scroll, get frustrated and go back to the listing sites they already know.

  3. 03

    Every new market is an engineering release.

    Currency, documents and legal steps get bolted on as transactions cross borders. Each new country or state turns into a project, and expansion moves slower than the business wants.

  4. 04

    Operations run on disconnected systems.

    Bookings, contracts and CRM live in separate tools that do not talk to each other. Guests and clients feel every gap, and the team spends its day copying data between systems.

  5. 05

    AI matching without good data.

    Recommendations and pricing models only work on clean, normalized listings. On messy data, matches feel random and users lose trust in the product after a few searches.

  1. 01

    Data models built for messy listings.

    Normalization, deduplication and provenance get decided before the first listing is imported. The marketplace starts clean and stays clean as new feeds and markets are added.

  2. 02

    Supply-side tools as good as the consumer app.

    Agents, owners and operators get tools designed with the same care as the app renters and buyers use. When the supply side works, listings stay fresh and the marketplace stays full.

  3. 03

    Trust built into the product.

    Verification, documents and transaction status are core features in high-value deals, not afterthoughts. Users commit faster when they can see exactly where things stand.

  4. 04

    Listings normalized before matching.

    Normalized listing data comes first, then matching, scoring and pricing on top of it. Users see results that reflect what is actually available, and come back to search again.

  1. 01

    Data models built for messy listings.

    Normalization, deduplication and provenance get decided before the first listing is imported. The marketplace starts clean and stays clean as new feeds and markets are added.

  2. 02

    Supply-side tools as good as the consumer app.

    Agents, owners and operators get tools designed with the same care as the app renters and buyers use. When the supply side works, listings stay fresh and the marketplace stays full.

  3. 03

    Trust built into the product.

    Verification, documents and transaction status are core features in high-value deals, not afterthoughts. Users commit faster when they can see exactly where things stand.

  4. 04

    Listings normalized before matching.

    Normalized listing data comes first, then matching, scoring and pricing on top of it. Users see results that reflect what is actually available, and come back to search again.

  1. 01

    Data models built for messy listings.

    Normalization, deduplication and provenance get decided before the first listing is imported. The marketplace starts clean and stays clean as new feeds and markets are added.

  2. 02

    Supply-side tools as good as the consumer app.

    Agents, owners and operators get tools designed with the same care as the app renters and buyers use. When the supply side works, listings stay fresh and the marketplace stays full.

  3. 03

    Trust built into the product.

    Verification, documents and transaction status are core features in high-value deals, not afterthoughts. Users commit faster when they can see exactly where things stand.

  4. 04

    Listings normalized before matching.

    Normalized listing data comes first, then matching, scoring and pricing on top of it. Users see results that reflect what is actually available, and come back to search again.

What to look for in a proptech partner

What to look for in a proptech partner

What to look for in a proptech partner

What to look for in a proptech partner

What Kubikware provides

What Kubikware provides

What Kubikware provides

What Kubikware provides

Whether you are launching a marketplace or connecting systems you already run, we put together the right mix of talent and plug it into the way you work.

Whether you are launching a marketplace or connecting systems you already run, we put together the right mix of talent and plug it into the way you work.

01

AI Transformation

  • Discovery sprint on your listing and booking data, ending in a working prototype
  • AI for matching, scoring, pricing and referrals
  • Automation for bookings, documents and CRM updates
02

Nearshore Staffing

  • Senior proptech talent embedded in your team
  • A full team with its own lead and project manager when you have no tech team yet
  • Recruiting for in-house proptech roles
03

Product development

  • Product strategy and discovery for proptech products
  • UX and UI for renters, buyers, agents and operators
  • Marketplace and booking builds, from concept to launch
  • Integrations with listing, payment, CRM and document systems
  • Maintenance and support after launch

Why Kubikware for proptech

Proptech founders and operators come to us to build it right, then keep it running.

01

Live apps for audiences that show up at once.

We built assigned seating with real-time seat locking for the AMC Theatres Android app, and helped HQ Trivia ship key features and live streaming.

02

Launch dates we hit.

AMC Theatres gave itself one year to bring assigned seating to Android. A tech lead and three senior engineers built it alongside AMC's team and launched on schedule.

03

AI audiences actually notice.

We build recommendations and personalization on structured engagement data, so they improve the experience instead of cluttering it. Audiences spend more time with content that fits them.

04

Senior people who skip the ramp-up.

Talent vetted to contribute in the first sprint, which matters when the date is already on the calendar. You spend your time on the launch, not on onboarding.

FAQ

FAQ

FAQ

Yes. We normalize your listing and transaction data first, then prototype matching, scoring or pricing on real inventory.

Proptech companies bring us in to build marketplaces, transaction and booking platforms and the integrations behind them, through staffing, product development or AI Transformation.

Yes. We have built marketplace and matching products from a founder’s idea and from early designs, with both sides of the market designed at once.

Yes. We have built booking platforms where guests reserve and sign in one visit, with data synced to Salesforce.

Yes. We put together the full team, including a team lead and project manager, and keep the platform running after launch through a maintenance retainer.

Building for both sides of the market?

Building for both sides of the market?

Building for both sides of the market?

Tell us who's on each side. We'll design for both.

Contact us today for a free consultation and let's discuss your next project.

By submitting, you agree to our Terms and Privacy Policy.

© 2003–2026 Kubikware, LLC

All rights reserved.

Contact us today for a free consultation and let's discuss your next project.

By submitting, you agree to our Terms and Privacy Policy.

© 2003–2026 Kubikware, LLC

All rights reserved.

Contact us today for a free consultation and let's discuss your next project.

By submitting, you agree to our Terms and Privacy Policy.

© 2003–2026 Kubikware, LLC

All rights reserved.

Contact us today for a free consultation and let's discuss your next project.

By submitting, you agree to our Terms and Privacy Policy.

© 2003–2026 Kubikware, LLC

All rights reserved.