PropTech and Real Estate Software Development: From MLS Sync to AI Lead Scoring

Agents using AI-based lead scoring see conversion gains of up to 30% compared to manual prioritization (Inman). Most real estate software doesn't reach that outcome because it's built around brokerage reporting needs, not the agent's actual daily workflow. We start with workflow research, not a feature list.

Start a PropTech Project

MLS/IDX feed integration. Mapping APIs. AI lead scoring and listing generation. PropTech MVP to enterprise platform.

What real estate software does Groooh build?

Groooh builds property listing platforms with live MLS/IDX integration, property management systems, real estate agent CRM and lead tools with AI scoring, AI valuation models, mortgage and lending apps, and commercial real estate platforms. Fixed-scope MVPs over 10 to 16 weeks, from $10,000 to $100,000+ for enterprise platforms.

Real Estate Software We Build

Product

Property Listing Platforms

What It Includes

Search, filtering, and map-based browsing with live MLS data feeds. Deduplication, search indexing, and listing accuracy handled automatically. Virtual tours and agent contact flows built for conversion.

Key Integrations

RESO Web API, IDX compliance, Mapbox GL or Google Maps

Product

Property Management Systems

What It Includes

Tenant portals with lease documents, maintenance request tracking, rent collection, and owner reporting: for property managers running dozens to thousands of units.

Key Integrations

Stripe rent collection, DocuSign lease execution, maintenance workflow APIs

Product

Real Estate Agent CRM & Lead Tools

What It Includes

CRM with MLS integration, showing scheduling, offer tracking, and AI lead scoring that surfaces highest-conversion prospects first. Agents using AI scoring see conversion gains of up to 30%.

Key Integrations

MLS feed data, Twilio for follow-up sequences, Salesforce or custom CRM backends

Product

AI Tools for Real Estate Agents

What It Includes

AI lead scoring, automated listing description generation, AI-driven follow-up sequences, and property value prediction models: all in production builds.

Key Integrations

LangChain and LangGraph for agentic sequences, RAG pipelines for market data Q&A

Product

Mortgage & Lending Apps

What It Includes

Loan application flows that reduce drop-off, document upload, application status tracking, and lender-to-borrower communication that keeps applicants informed.

Key Integrations

Credit bureau APIs, document OCR, e-signature integrations

Product

Commercial Real Estate Platforms

What It Includes

Deal pipeline management, cap rate calculators, investment return modeling, market intelligence dashboards, and investor reporting for commercial brokers and funds.

Key Integrations

CoStar data APIs, custom financial modeling, PDF generation for investor decks

Why AI Is Rewriting Real Estate Agent Workflows Right Now

The PropTech market was valued at $40.19 billion in 2025 and is projected to reach $104.57 billion by 2034 at a CAGR of 11.9% (Fortune Business Insights). Integrated software platforms are expected to account for 65% of that market by 2026: the standalone tool category is consolidating. The AI adoption data is more specific than the market projections. Agents using AI-powered lead scoring see conversion gains of up to 30% compared to manual prioritization (Inman): a direct result of contacting the highest-intent leads within minutes rather than hours. Automated listing description generation from property photos and data is now a standard expectation among tech-forward brokerages. The competitive gap between agents using these tools and those who aren't is widening month by month, not year by year.

How We Build Real Estate Software Differently

Workflow Research Before Feature Design

We interview your agents, property managers, or operations team before designing a single screen. Real estate workflows are operationally specific: software built from assumptions about them fails in the field. The actual workflow is the design brief.

MLS Integration as a First-Class Engineering Task

MLS feed integration: syncing, deduplication, and search indexing: is the most timeline-sensitive component in most real estate builds. We scope it explicitly at the start, not as an afterthought that delays launch by six weeks.

AI That Works With Existing Systems

We build AI lead scoring and follow-up automation that integrates with your existing CRM and MLS platform: not as a replacement that requires you to abandon what you've already built and trained your team on.

How an Accelerated PropTech Build Runs

01Week 1

Workflow Discovery & MLS / RESO Feed Architecture

Mapping your agents', brokers', or property managers' real workflows. Scoping RESO Web API feeds, mapping providers, and data normalization rules.

02Week 1 to 2

Map-First UX & Interactive Prototype

Rapid prototyping of map-based search, listing detail pages, tour scheduling flows, and agent lead-capture dashboards. Validated with active agents.

03Week 3 to 6

AI-Accelerated Core Build & Feed Ingestion

Building automated MLS sync, Mapbox geospatial clustering, lead routing rules, and optional AI valuation or scoring engines with weekly live demos.

04Week 7

IDX Compliance Sign-Off, Testing & Launch

Ensuring strict MLS/IDX display compliance, speed optimization for image-heavy listings, search indexing setup, and production deployment.

PropTech & Real Estate Software Costs: AI Velocity, Competitive Rates

Traditional PropTech software development suffers from multi-month delays. With modern geospatial SDKs, automated MLS sync pipelines, and AI-accelerated workflows, we deliver 20% below standard agency rates:

  • PropTech Listing Platform / MVP (3 to 5 weeks): $15,000 to $32,000 (Mapbox geospatial search, listing filters, lead capture, CRM notifications)

  • Full MLS / RESO Web API Integrated Portal (5 to 8 weeks): $32,000 to $62,000 (automated IDX syncing, agent portals, tour booking, mortgage calculator)

  • Commercial Real Estate or AI Valuation Platform (7 to 10 weeks): $55,000 to $95,000 (AI lead scoring, deal pipeline CRM, cap rate/ROI calculators, document management)

  • Real Estate Mobile App (iOS & Android, 4 to 6 weeks): $20,000 to $40,000 (saved searches, instant push notifications for price drops, in-app messaging)

Quotes are fixed based on MLS feed complexity and integration requirements. You retain full ownership of the codebase and data pipelines.

PropTech Technical Stack

LayerDetails
Mobile
React Native for cross-platform agent and consumer property apps (iOS and Android)
Web
Next.js with server-side rendering for property listing pages: fast load times critical for SEO and organic search placement
MLS & property data
RESO Web API for MLS feed integration, PostgreSQL for property data, Mapbox GL or Google Maps for geolocation and radius search
AI real estate tools
LangChain and LangGraph for lead scoring agents, follow-up automation, and listing generation; RAG pipelines for market data Q&A and property research tools
Infrastructure
CI/CD pipelines, cloud infrastructure on AWS or GCP, monitoring and alerting for production MLS feeds and AI model performance

Real Estate App Development Questions

How much does a real estate app cost to build?

Our rates are approximately 20% below traditional agency benchmarks. A focused PropTech MVP costs $15,000 to $32,000 (3 to 5 weeks). An MLS-integrated platform with RESO Web API syncing costs $32,000 to $62,000 (5 to 8 weeks). Advanced commercial or AI valuation platforms run $55,000 to $95,000. Every build has a fixed price and defined scope.

Can you integrate with MLS data feeds?

Yes. Live MLS integration via the RESO Web API standard: handling feed syncing, deduplication, search indexing, and IDX compliance so listings stay accurate automatically.

How do you handle mapping and geolocation for property search?

We build map-based search using Mapbox GL or Google Maps: radius search, polygon boundary drawing, neighborhood clustering, and saved search with map state. Mapping architecture is defined in the first planning session.

Can you build AI-powered lead scoring into a real estate CRM?

Yes. Lead scoring models that integrate with your existing CRM and MLS platform, surfacing highest-conversion-probability leads based on behavioral signals. Agents using AI scoring see conversion gains of up to 30% (Inman).

Do you build AI property valuation tools?

Yes. AI-driven property valuation models trained on comparable sales, market trends, and property attributes: as a standalone tool or embedded in a listing platform.

How long does a real estate software project take?

A focused real estate MVP typically launches in 4 to 6 weeks. A full MLS/IDX portal takes 6 to 8 weeks. We use pre-built feed normalization pipelines to cut months off typical MLS onboarding timelines.

Can you build a tenant portal for property management?

Yes. Tenant portals covering lease access, maintenance request tracking, rent payment (Stripe), and communication with owners: built for single-property to institutional-portfolio scale.

Do you work with real estate startups or only established agencies?

Both. Focused MVPs for PropTech startups validating an idea, and comprehensive platforms for established agencies modernizing legacy systems or adding AI capabilities.

What AI tools do you build for real estate agents?

AI lead scoring, automated listing description generation, AI-driven follow-up sequences timed by behavioral signals, and property value prediction models. We've built production versions of all four.

Can you build commercial real estate platforms?

Yes. Deal pipeline tools, cap rate calculators, investment return modeling, and market intelligence dashboards for commercial brokers and investment funds: a distinct product category from residential listing platforms.