Proptech software development gets a working product to real estate users before funding runs out, then keeps it stable as data, payments and integrations grow. Ascendix, a proptech company with live products of its own and AI already launched in them, builds MVPs, integrations and AI features for real estate founders and product teams.
We build proptech software for founders preparing a first release, teams with an AI-built prototype and companies scaling a live product. Each starts from a different problem.
Bring the product, the property and lease data behind it, and the deadline. We will map where to start.
“The feature list keeps growing, and the demo works but nobody knows how it behaves with real users and real property, lease and deal data.”
Discovery covers users, real estate workflows, property and lease data, and existing code. We compare products, integrations and custom development before budget is spent, and AI prototypes give something to click through early. For an existing prototype, we keep what holds up and rebuild the rest for production.
“Investors want a working product and the runway is not getting longer.”
We build web and mobile apps and the APIs behind them in reviewed increments, starting with the real estate workflow users need most, such as listings, leases or deals. Scope can be adjusted while changes are still cheap. Delivery can run as managed delivery, where Ascendix handles planning and development, or through a dedicated team that blends with your own.
“There is no in-house team that knows both real estate workflows and software engineering.”
We assemble a dedicated team with real estate experience that blends with your existing people, or take on managed delivery of the whole product. A fractional team adds capacity for part of the time, and the monthly package can change as the project does. We also share what we learned launching our own products.
“Customers keep asking for AI on their property and lease data, and a rebuild is off the table.”
We map where the product’s property, lease and deal data lives and which workflows gain most from AI. We connect models to that data, teach them real estate definitions and rules, and keep a person reviewing outputs that touch money. Where no ready-made tool exists, we build custom AI features, such as lease extraction. We took this route first in our own product.
“The app is built, and the Security Review stands between it and its first customers.”
We package, secure and launch managed apps for AppExchange, including Security Review support and the listing. We do the same for our own real estate apps.
“New features take longer each quarter, and the old code is the reason.”
A legacy proptech core rarely comes out in one release. We audit the code first to find the technical debt, then migrate in phases, introducing new services one at a time while the old and new systems exchange property, lease and listing data.
We ship products of our own to brokers, investment sales and capital markets teams, so release cycles, marketplace reviews and customer feedback are part of the job. On AppExchange we list and maintain our own apps and launch managed apps for other software vendors.
A commercial real estate CRM for brokers, investment sales and capital markets teams. It keeps property, lease, listing and deal records in one place and is listed on AppExchange.
AI built into AscendixRE. Brokers can ask Claude or ChatGPT about property, lease and deal data, and have emails and documents turned into records and drafts for review.
Lives inside AscendixRE and comes with the Enterprise plan. It builds brochures, offerings and flyers from live property and listing records.
Lives inside Salesforce. It adds multi-object and map-based search, so brokers can find properties, leases and contacts in one place.
“ We hired Ascendix to help us design a proprietary CRM system built on top of Salesforce. We interviewed many Salesforce/CRM developers and decided to work with Ascendix based on their track record and specific experience working with commercial real estate platforms. They have a fantastic turnkey product for commercial real estate companies, but given our unique needs, we decided to engage them to design a proprietary system that incorporated some of their signature systems such as their mapping app. Everything the team did was impressive. From top-notch communication to product development. ”
A proptech product has to survive real customers, regular releases and marketplace reviews. Ascendix has taken its own products through all three.
Bring the MVP, prototype or product that outgrew its core, and we will say which route fits.
Proptech software development is the design and engineering of software for real estate, such as marketplaces, property and tenant tools, investment platforms and CRMs. Founders building a first product, teams turning an AI-built prototype into one, and companies scaling an existing platform all need it. Ascendix covers all three stages through its custom software development services.
Start from what the prototype already does and rebuild the foundation where it will not hold up. Production needs concurrency handling, performance at real data volumes, permissions between customers’ files, error states, monitoring, alerting and backups. Ascendix engineers review the prototype’s code first and agree with the client what to keep, as set out in our delivery process.
Compare existing products, integrations and custom development against the workflow before committing build budget. An existing product fits when it covers the core process with minor configuration. Custom development fits when the workflow is the differentiator or no product covers it. Ascendix runs this comparison in discovery before the build starts.
Scope depends on the number of user roles, integrations, payment flows and platforms, such as web plus mobile. Timeline follows from how clearly the first workflow is defined and how quickly decisions get made. Ascendix scopes each MVP after discovery, because both vary by product, and delivers it through its MVP and software development service.
Connect AI models to the product’s existing data through an integration layer, then ground them in the domain’s definitions and rules. Add skills, workflows or agents for specific tasks, and keep human review on outputs that affect money or customers. Ascendix took this route in its own product and offers it as AI integration.
Look for products the team has built and run itself, named integrations in the relevant area, a discovery phase and clear terms on code and account ownership. Ask for references from teams at a similar stage. Ascendix runs its own products, so it has met production problems before.
Yes, in most cases. Migrate in phases, introducing new services and interfaces one at a time while the old and new systems exchange data. Keep users on the working system until each piece is ready. Ascendix starts with an audit of where the technical debt sits and which parts to replace first.
