Real estate & proptech
Software Development for Real Estate and Proptech
We build software for brokerages, agent-website platforms and proptech companies: MLS data pipelines, IDX search, CRMs and lead handling, AI search and valuation, and investor and property management portals.
Real estate software has problems general software firms tend to underestimate: every MLS board has its own fields and license rules, listing status has to be current, and agents expect search to be instant. The case studies below show how we handled those problems, and the service pages explain how we would approach yours. We also build and operate our own real estate product, RealFoyer.
Fit
Is Custom Real Estate & Proptech Software the Right Fit?
A good fit when
- You are a brokerage, agent-website platform or proptech company whose product depends on MLS data, and a vendor's IDX product no longer does what you need.
- Agents or investors work across several tools, such as a CRM, listing search and document systems, and you want one product and one login.
- You operate in more than one market, and each board, fund or facility has rules your current software handles by exception.
- You sell software to agents, brokerages, sponsors or operators, and one codebase has to serve all of them.
Probably not the right fit when
- A single-office brokerage that needs a website with listing search and a CRM. Off-the-shelf products cover that: custom SaaS vs off-the-shelf CRM.
- You have not yet secured MLS data access for the markets you want. Start there: how to get MLS data access.
What we build
What Real Estate & Proptech Software Includes
MLS data pipelines
Ingestion from several MLS boards into one schema, with cross-listed properties deduplicated. The W3|re case study describes a pipeline over four MLS systems; the real estate SaaS case study describes a sync engine with delta detection, retry logic and per-feed error isolation.
Shown in: AI-Powered Multi-Market Real Estate Platform; Scaling a Real Estate SaaS Platform from 5 Agents to 200+
Listing search and agent websites
Search with filters, geo queries and auto-suggestions on Elasticsearch with a Redis cache, behind white-label agent websites. In the real estate SaaS case study, search response went from 3.5 seconds to 180 milliseconds.
Shown in: Scaling a Real Estate SaaS Platform from 5 Agents to 200+
AI search, valuation and lead qualification
Natural-language property search, an automated valuation model and a lead qualification chatbot, as built for W3|re.
Investor portals
Role-based portals where each investor sees only their own holdings and documents, with watermarked files and an audit trail. The case study portal serves 280+ investors across a $450M portfolio.
Shown in: Investor Communication Portal for a Real Estate Development Firm
Property operations platforms
Reservations, Stripe billing and smart-lock access in one platform, built for a self-storage operator with 150+ facilities.
Shown in: Self-Storage Management Platform with IoT-Powered Access Control
Case studies
Real Estate & Proptech Case Studies
AI-Powered Multi-Market Real Estate Platform
How we built an AI-native platform for W3|re — 62% workload reduction, 3.8× lead-to-showing rate, 94% valuation accuracy across 4 MLS markets.
62% Workload Reduced · 3.8× Lead-to-Showing Rate · 94% Valuation Accuracy · 14 Months
Read the case study · Service: AI AutomationScaling a Real Estate SaaS Platform from 5 Agents to 200+
How we re-architected a property search platform across the US and Canada — handling millions of MLS listings with sub-second response times.
200+ Active Agents · 2M+ Property Listings · <200ms Search Response · 8 Months
Read the case study · Service: SaaS DevelopmentInvestor Communication Portal for a Real Estate Development Firm
How we built a secure, role-based portal for 280+ investors — with document management, milestone tracking, and automated distribution reporting across a $450M portfolio.
$450M Portfolio AUM · 280+ Active Investors · 99.9% Document Delivery · 6 Months
Read the case study · Service: Investor Portal DevelopmentSelf-Storage Management Platform with IoT-Powered Access Control
How we engineered a full-stack SaaS platform for 150+ storage facilities — with smart lock integration, automated billing, and real-time occupancy dashboards.
150+ Facilities · 45K+ Active Units · 99.7% Billing Accuracy · 10 Months
Read the case study · Service: SaaS DevelopmentServices
Services for Real Estate & Proptech Companies
MLS & IDX Integration
MLS data pipelines and IDX search for brokerage websites and proptech products.
Related work: AI-Powered Multi-Market Real Estate Platform · Scaling a Real Estate SaaS Platform from 5 Agents to 200+
Investor Portal Development
Secure investor portals with role-based access, document management and automated reporting.
Related work: Investor Communication Portal for a Real Estate Development Firm
SaaS Development
Multi-tenant SaaS platforms, from MVP architecture to scaling an existing product.
Related work: Scaling a Real Estate SaaS Platform from 5 Agents to 200+ · Self-Storage Management Platform with IoT-Powered Access Control
AI Automation
AI features and automated workflows scoped to a specific business problem.
Related work: AI-Powered Multi-Market Real Estate Platform
API Integration
Reliable integrations between your product, your vendors and your internal systems.
Cloud & DevOps
Cloud architecture, CI/CD and performance work for platforms that need to scale.
Related work: Scaling a Real Estate SaaS Platform from 5 Agents to 200+ · Self-Storage Management Platform with IoT-Powered Access Control
Scope
What Determines the Scope of Real Estate & Proptech Software?
These are the inputs that change the effort. None needs a final answer before the first call, but each one you can answer makes the estimate tighter.
- Markets and boards
- Which MLS boards, in which states or provinces. Each one adds a license, a feed and its own display rules.
- User groups
- Agents, brokers, team leads, buyers and sellers, investors, back-office staff. Each group needs its own views and permissions.
- Brokerage structure
- Offices, teams and agent hierarchies, and whether each agent or office gets a branded site of its own.
- Lead handling
- Where leads come from, how they are routed, and which CRM owns them.
- Listing data rights
- What your license lets you display, store and reuse, for example in valuation models or on sold-data pages. Bring the agreement instead of assuming.
- Transactions and documents
- Whether the product handles offers, signatures, investor documents or payments. Each brings its own integrations and audit needs.
- Existing product
- Whether a platform has to keep running for its users while it is rebuilt.
A sensible first phase
A sensible first phase picks one market and one user group, and takes real listing data through to the screen that group uses most. The real estate SaaS project in our case studies began with a three-week audit and architecture design before the rebuild.
What to bring to the scoping call
- The markets you operate in and the MLS boards behind each.
- Your data license or IDX vendor agreement for each board.
- The user groups and a rough count of each: agents, offices, investors, staff.
- The tools in use today (IDX vendor, CRM, transaction management, accounting) and which you want to keep.
- Where leads come from and how they are assigned today.
- For an existing platform: the stack, listing and agent counts, and the complaints you hear most.
Partial answers are fine. Whatever is missing becomes the first item on the call.
Guides
Guides for Real Estate & Proptech Software Buyers
MLS and IDX Integration Cost in 2026: Monthly and Yearly Fees by Vendor and MLS
MLS and IDX costs per month and per year in 2026: IDX plugin plans, MLS license fees by board, MLS Grid and Trestle fees, and development rates, all sourced.
How to Get MLS Data Access for Your App
The licenses, broker sponsorship, agreements, platforms (MLS Grid, Trestle, Bridge), fees and compliance rules for getting MLS data into your app, with sources.
What It Costs to Build a Real Estate Platform
What drives the cost of a real estate platform: developer rates in the US, Canada and India, MLS data fees, maps and hosting, with every figure sourced.
Custom SaaS vs Off-the-Shelf CRM for Brokerages
When a brokerage should subscribe to a real estate CRM and when a custom platform makes sense, with published CRM pricing and the trade-offs of building.
Investor Portal vs File Sharing: What Real Estate Firms Need for LP Reporting
When shared folders are enough for investor documents and when a portal is worth it: access control, audit trails, watermarking and published portal prices.
IDX Vendor or Custom Build: When to Switch
When an IDX plugin is enough, when a data vendor API fits, and when a brokerage or proptech team should build its own MLS pipeline, with sourced costs.
RESO Web API vs RETS: What Changes and How to Migrate
What changes when you move an MLS integration from RETS to the RESO Web API: authentication, queries, field names, media and sync, with sources and a checklist.
MLS Data Access in Canada: CREA DDF and Board Feeds
How listing data access works in Canada: CREA DDF channels, rules, API and technology-provider fees, plus board IDX and VOW programs, with sources.
Technical consultation
Planning a Real Estate Platform or Integration?
Tell us which MLS boards, user groups and features are in scope. Your first conversation is with an engineer, not a sales team.
- A 30-minute technical discovery call with an engineer, not a salesperson.
- Fixed-scope projects, monthly retainers, or a combination, agreed after the call.
- Small, well-defined tasks get a scoped estimate. We reply within 1 business day.
Prefer to pick a time? Book a call on Calendly
