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Technology & Software

Real Estate Software Development Services
Listings, leads and leasesin one platform
We build software for brokerages, property managers and proptech startups, from listing search portals with MLS data and maps to agent CRMs, tenant portals and transaction management tools.
What we build
01Property search portals
02MLS data integration
03Property management platforms
We start every real estate build with the listing data, because search, maps, alerts and CRM all depend on feeds that stay accurate.
Software shaped around how property is transacted
- 01Property search portals
- 02MLS data integration
- 03Property management platforms
Real estate software has its own hard parts, including listing feeds from MLS providers with licensing rules, map search over large inventories, documents that need signatures, and rent that must be collected and reconciled. We build property search platforms, agent and brokerage CRMs, landlord and tenant portals, commercial deal and investor reporting tools, and mobile apps agents can use on site.
Custom development makes sense when an off-the-shelf portal or CRM cannot reflect your workflow, your data or your brand, or when you are building a product to sell to the industry. We begin with data sources and integrations, since feed access and licensing shape what is possible, then design the experience for the agents, tenants, buyers or investors who will use it daily.
Talk to us about your projectCapabilities, End to End
What It Looks Like When It Ships
From Kickoff to Launch
We confirm which MLS boards, feeds and third-party systems are involved, what their licenses allow and how data will be refreshed. Feed access can take time to arrange, so it starts first.
We sit with agents, managers or tenants to map their real workflow, then design search, pipeline and portal screens around it. Prototypes are reviewed by the people who will use them.
We build the platform in increments, starting with listing ingestion and search, then CRM, payments and documents. Each integration is tested against sandbox accounts and real sample data before it is switched on.
We migrate existing contacts, listings and leases, train your staff, launch to a pilot office or portfolio and then widen access. Feed health and payment activity are monitored from the first day.
Built for Teams Like Yours
What buyers ask before they start
If yours is not here, ask us directly. The first conversation is free and useful whether or not we work together.
Book a callYes. We integrate through the RESO Web API or the access method your MLS provides, and we can work with aggregators when you cover several boards. Access itself is granted by each MLS to a licensed participant, so you or your broker of record apply for the credentials and we handle the technical side, including display rules, attribution, refresh frequency and removal of expired listings.
Buy if a standard product matches how your team works, because it will be cheaper and quicker to adopt. Build when your process is a competitive advantage, when you need the CRM tied closely to your own listings, website and transaction tools, or when per-seat licensing no longer makes sense at your size. A middle path is a custom layer on top of an existing CRM.
Payments run through an established provider such as Stripe, so card and bank details are entered into its secure components and are not stored in your platform. We keep a ledger of charges, payments and fees that reconciles against provider records. Access is restricted by role, sensitive fields are encrypted, and actions are logged. The design supports your PCI DSS and data protection obligations.
Yes. For agents who spend the day at showings, we build mobile apps with React Native or native code that store assigned listings, contacts and notes on the device. They can look up details, log a visit or capture a lead with no signal, and the app synchronizes when the connection returns, resolving conflicts by defined rules. Web portals are also designed to work well on phones.
We can, with honest limits. Using your transaction history, listing data and public records, we build comparables tools, price trend dashboards and estimate models, and we show the confidence range next to any estimate. Model quality depends on how much local data is available, so we test accuracy against known sales before anything is shown to users. An automated estimate should support an agent's judgment, not replace it.



