We found 15 available PropTech Developers
PropTech developers matched to the stage your product serves
Cortance matches PropTech developers to the stage of a property's life your product serves: finding a home or an office, closing the deal, or running the building after move-in.
Which stage of a property's life does your product serve?
A PropTech product rarely covers all of real estate. It serves one stage, and each stage fails in its own way.
Search products run on listing data that someone else owns. An MLS or IDX feed changes prices, statuses and photos all day. A sync that misses one update shows a sold house as available, and the agent hears about it from an annoyed buyer.
Deal products sit between brokers, buyers, tenants and investors who should never see the same screens. When a sign-in flow treats a broker and a tenant alike, deal data leaks. On these platforms two-factor sign-in and single sign-on are product features, not settings.
Operations products touch money and doors. Rent follows a lease cycle, a smart lock must stop opening for a tenant who has moved out, and a building manager must never see another building's residents.
Our matching starts there. A developer who has kept a listing feed current is a different hire from one who has run rent billing, even when both write React and Node.js.
Three PropTech systems from our network, one per stage
Roman M. built the MLS data pipeline for Zoodealio, a platform where agents work iBuyer leads across millions of properties. He ran the long imports on Azure Durable Functions and Service Bus and served property search from Azure AI Search.
Yauhen I. worked on a US commercial real estate platform with millions of monthly users. He led two-factor sign-in across registration and single sign-on for brokers, tenants and investors. By his account, moving one Node.js service to .NET cut its infrastructure cost by about 65%.
Ivan S. moved OnCierge, a concierge platform for residential and hotel buildings, from .NET Framework 4 to .NET 6. He scoped every query to its building and logged every user action, so an incident in one building can be traced without exposing the others.
What should AI write in a real estate product, and what should code decide?
AI earns its place in PropTech where people deal with paperwork. Artem Y. and Serhii Kr. both worked on a platform that prepares the documents for renting or buying property under Dutch law. Volodymyr R. added a ChatGPT module for sales and support to a homebuilder's ERP, after auditing the legacy code first.
Our view at Cortance is simple. A model can draft a lease clause or answer a buyer's question, but the price, the unit and the rules of the jurisdiction belong in code a person can review. We look for engineers who draw that line before the first prompt. The same applies to AI coding tools. Yauhen I. used Claude Code and GitHub Copilot to refactor faster on the commercial platform. On sign-in and billing code, that speed is worth having only with a review of every change.
Tell us which stage your product serves
Send us the stage, the outside systems your product depends on (an MLS or IDX feed, a payment provider, door locks, an ERP, a maps API) and who logs in. We match a PropTech developer who has shipped that stage, at a typical $28-42 an hour, with a start within 2 days.
If you are still choosing between a development company and individual engineers, our overview of PropTech development companies and talent providers lays out both models.
Types of PropTech development our engineers have shipped
Six kinds of real estate products, each with engineers in Cortance's network who built one. Tell us which type yours is and which stage it serves.
Listing and property sales platforms
Search, maps and listing pages for buying or renting. Mikayel S. built Zillow-style search with map filters that loads most views in under 2 seconds. Anna P. built sites for Dutch agencies synced with an IDX aggregator.
Rental and booking platforms
Short and long stays where availability changes by the hour. Daria P. made a Vue and Go booking platform reliable under overlapping calendar requests. Gustavo M. led a pod on 3Sixty, which matches business travelers with corporate housing.
Property and community management systems
Rent, access, fees and documents for buildings and homeowner associations. Yuliia K. tied Stripe rent billing to smart lock access in one Java backend. Ilya T. built reservations, payments and homeowner portals for association management software.
CRM and lead tools for agents and lenders
Pipelines for brokers, agents and mortgage applicants. Volodymyr K. worked on a mortgage CRM that compares providers for each applicant. Karen G. built an AI prompt generator that real estate agents use for their marketing.
Smart building and home apps
Mobile apps that control what sits inside the walls. Severyn K. led iOS work on Veev, a smart house system for lights, blinds, doors and climate. Danylo P. mapped properties into floors, rooms and sensors, with QR-code device setup.
Construction and homebuilder software
Tools for building sites and the companies that build homes. Narek H. built weekly task boards for Noravand's construction supervisors and crews. Volodymyr R. audited a homebuilder's legacy ERP before modernizing it and adding an AI module.
From your property product to a matched PropTech developer
Four steps, starting with the stage your product serves.
- 01
Name the stage
Tell us whether your product helps people find property, close deals or run buildings, and what it already does.
- 02
List the outside systems
MLS or IDX feeds, payment providers, door locks, maps and ERPs decide most of the match, so name the ones your product calls.
- 03
Review matched engineers
We propose developers whose projects cover that stage and those systems, each through our five vetting stages.
- 04
Start within 2 days
Interview the engineers you like. The one you choose can start within 2 days.
Property data, user roles, payments and calendars: four decisions before you hire
Four decisions shape a PropTech hire more than the framework does. Each one changes which engineer Cortance proposes from its network.
Who owns your property data?
Property data either comes from your own users or from a feed. Agents who upload their own listings need photo handling, floor plans and moderation. A product that imports MLS or IDX data needs scheduled syncs, duplicate checks and a rule for listings that vanish from the feed. A developer who has built one is not automatically ready for the other, so we ask which source you have before we match.
Who logs in, and what must each role never see?
A real estate product rarely has only two kinds of users. Buyers and tenants, agents and landlords, investors, building managers and homeowner boards can all share one platform. Write down each role and the screens it must never reach. Mykyta K. built role-based profile views for tenants and housing providers on RENT.AI, a rental marketplace. That split costs far less to design before launch than to retrofit after it.
Which payments run through the product?
Rent, deposits, booking fees, association dues and utility bills each follow a different cycle. The hard part is tying a payment to the state of a lease or a booking. A cancelled stay needs a refund, and access should stop when a lease ends. If money moves through your product, we propose engineers whose projects include that payment type, not only Stripe on a profile.
Does your product have a calendar?
Viewings, short stays, shared amenities and maintenance visits all end up on a calendar. The usual failure is two people booking the same slot when their requests arrive at the same moment. Tell us whether bookings are first come, first served or approved by a manager, because that rule decides how the booking logic is built.
They grow their businesses with Cortance
Cortance helped us to deliver the system on time, even with the client's last-minute feature requests. The launch was a success, and the client left a very positive feedback. Describe your overall experience in details. And because the client was very satisfied with the finished product, they have decided to continue working with us further.
Catherine Ilaschuk
Marketing Assistant · Elit-Web · Apr 2025
After the successful prototype launch, the client tested the product in a real load and attracted new partnerships, leading to a rapid expansion.
Cortance was responsive, well-organized, responsible, and helpful throughout development. Overall, they were genuinely passionate and dedicated partners.
Anonymous
Executive · DBB Software · May 2024
The app built by Cortance reduced manual work, digitized patient information, and increased overall convenience.
The team had an efficient project management approach, communicating through phone and Google Meet and using Jira to manage tasks. Their smooth workflow made the collaboration a success.
Anonymous
CEO · Custom Software Development Company · May 2024
Pair Your PropTech Developers
With Related Experts
Most PropTech projects require additional expertise. Whether you need front-end devs, DevOps specialists, or database architects, we connect you with professionals who integrate with your PropTech team.
Answers for Common PropTech Hiring Questions
Do you need a PropTech developer, or will a general full-stack developer do?
What MLS and IDX experience should a PropTech developer have?
Should a legacy property management system be rewritten or modernized step by step?
Can one PropTech developer build both the web platform and the tenant mobile app?
Do PropTech developers handle smart locks and building IoT integrations?
Which tech stacks do PropTech developers in Cortance's network work in?
Can’t find what you are looking for?
Find your PropTech developer
within days, not months
Share your PropTech position requirements
Receive a personal proposal with verified PropTech talents
Onboard qualified PropTech devs to your team in days, not weeks
Discover Our Services
Explore our technical capabilities and find the right tech stack for your needs.

