AI Solutions for Real Estate & PropTech
Your agents are drowning in repetitive calls. Buyers want answers at 11 PM on a Sunday. Leads slip through because nobody followed up fast enough. Listings sit with incomplete data because manual entry takes forever.
We build AI agents and voice agents that handle the work your team shouldn’t be doing manually. Property inquiries, lead qualification, showing coordination, document processing — all running 24/7 without burnout, without missed calls, without human error.
We’ve been building software since 2014. Over 250 projects delivered. And one of those projects — The AsBuilt — is a real estate platform where we integrated AI directly into the property management workflow. We know this industry because we’ve built for it.
What Can AI Agents Actually Do for Real Estate Companies?
AI agents are autonomous software systems that take actions on behalf of your team. They don’t just answer questions — they pull data, update your CRM, trigger follow-ups, and make decisions based on rules you set.
For real estate, that means an AI agent can receive a new lead from Zillow at 2 AM, check the lead’s budget against your active listings, send a personalized property shortlist via email, and schedule a callback for your human agent — all before anyone on your team wakes up.
Here’s what we build for real estate companies:
Lead Scoring and Qualification
Every inquiry isn’t equal. An AI agent scores incoming leads based on budget range, location preference, timeline to purchase, mortgage pre-approval status, and engagement history. Your team spends time on the leads most likely to close. Everyone else gets automated nurture sequences.
We’ve built scoring models that integrate with HubSpot, Salesforce, and custom CRMs. The agent pulls data from form submissions, email replies, call transcripts, and website behavior to build a complete lead profile.
Property Valuation and Market Analysis
AI agents pull comparable sales data, tax records, neighborhood trends, and market conditions to generate valuation estimates. They don’t replace your appraisers — they give your team a data-backed starting point in seconds instead of hours.
For portfolio managers and investment firms, these agents run continuous market scans across multiple zip codes, flagging opportunities that match predefined investment criteria.
Document Processing and Transaction Coordination
Purchase agreements, disclosure forms, inspection reports, title documents — real estate transactions generate stacks of paperwork. AI agents extract key data points from these documents, flag missing signatures or incomplete fields, and route documents to the right people at the right stage of the transaction.
We build these using OCR pipelines combined with LLM-based extraction, so the system understands context, not just text patterns.
Listing Management Automation
An AI agent can take raw property data — photos, descriptions, square footage, features — and generate optimized listings for MLS, Zillow, Realtor.com, and your own website simultaneously. It formats content to each platform’s requirements, suggests pricing based on comparables, and flags when a listing hasn’t been updated in a configurable number of days.
Ready to automate your real estate operations? Talk to our team about what’s possible.
How Do Voice Agents Work for Property Inquiries?
A voice agent is an AI system that handles phone calls — inbound and outbound — with natural conversation. Not a phone tree. Not “press 1 for sales.” An actual conversation where the caller asks questions and gets real answers.
We built our own voice agent platform at voice.agent.contrivesol.com. We deploy it for clients across industries, and real estate is one of the strongest fits.
24/7 Property Inquiry Handling
When a buyer calls about a listing at 9 PM, your voice agent answers. It knows the property details — bedrooms, bathrooms, square footage, price, HOA fees, school district, year built. It answers questions naturally, and if the caller is interested, it books a showing directly on your agent’s calendar.
No missed calls. No voicemail callbacks that happen two days late. No leads lost to competitors who answered faster.
Showing Scheduling and Confirmation
The voice agent checks your team’s availability in real-time, proposes time slots, handles rescheduling, and sends confirmation texts and emails. On the day of the showing, it sends reminders to both the buyer and the listing agent.
For brokerages with 20+ agents, this eliminates the coordination chaos that eats up admin hours every week.
Lead Qualification by Phone
The voice agent asks the right questions: What’s your budget? Are you pre-approved? What neighborhoods are you considering? When are you looking to move? Based on the answers, it routes hot leads to senior agents and warm leads into automated nurture campaigns.
This isn’t a script reading exercise. The voice agent adapts its conversation based on responses, handles objections, and knows when to escalate to a human.
Outbound Follow-Up Calls
Leads that went cold? The voice agent calls them back. It checks in, asks if they’re still looking, updates their preferences, and re-engages them with new listings that match. Your human agents focus on closings while the AI handles reactivation.
What We Built: The AsBuilt — AI-Integrated Real Estate Platform
The AsBuilt is a real estate platform we built on Laravel with AI integration throughout. It handles property data management, document workflows, and automated reporting for real estate professionals.
This wasn’t a theoretical exercise. We built the data pipelines, integrated the AI components, designed the user interface, and deployed it to production. The experience taught us exactly where AI delivers real value in real estate workflows — and where it doesn’t.
That’s why when we talk about AI for real estate, we’re not guessing. We’ve shipped it.
What Does It Cost to Build AI for Real Estate?
Straight answer: a US-based agency would charge $200,000+ for a custom AI agent system with voice capabilities. With Contrive, the same build runs $60,000-$70,000. That’s 60-70% less, same engineering quality, same technology stack.
We have 20+ AI/ML engineers on staff. Our team works with LangChain, CrewAI, AutoGen, and LangGraph daily. We’re not subcontracting your AI work to freelancers — this is our core competency.
Typical Real Estate AI Project Scope
| Component | Timeline | What You Get |
|---|---|---|
| Voice agent for property inquiries | 4-6 weeks | 24/7 call handling, CRM integration, showing scheduling |
| Lead scoring AI agent | 3-4 weeks | Multi-source lead scoring, automated routing, nurture triggers |
| Document processing pipeline | 5-7 weeks | OCR + LLM extraction, validation, routing |
| Listing management automation | 4-5 weeks | Multi-platform syndication, pricing suggestions, update alerts |
| Full integrated system | 10-14 weeks | All of the above with unified dashboard |
Our engagement model is straightforward: a dedicated team that functions as an extension of your company. You get a project manager, AI engineers, backend developers, and QA — all working on your project, communicating in your timezone.
Let’s scope your real estate AI project. Get a detailed estimate within 48 hours.
Why Real Estate Companies Choose Contrive
12 years of delivery. We’ve been building software since 2014. 250+ projects. 95% client retention. 98% on-time delivery. These aren’t marketing numbers — they’re tracked across every engagement.
Real AI experience. 20+ AI/ML engineers building agents, voice systems, and automation pipelines. We’ve deployed AI in real estate (The AsBuilt), education (Skolaro, 1.5M+ users), finance (Zweeler, Metabeta), and project management (KanbanZone, 50K users).
Full-stack capability. Your real estate AI project probably needs a web dashboard, maybe a mobile app, CRM integrations, and the AI components. We build all of it in-house. Python for AI, Laravel or MERN for web apps, React Native or Flutter for mobile. No vendor juggling.
US presence, global team. Our US office is in Danville, California. Our engineering headquarters is in Lahore, Pakistan with 66 professionals. You get US-timezone communication with global-cost engineering.
4.7/5 on Clutch. 4.9/5 on Indeed. Our clients rate us highly because we deliver what we promise. Our employees rate us highly because we invest in their growth. Both matter for your project’s success.
How AI Changes the Math for Real Estate Operations
Here’s a concrete example. A mid-size brokerage with 30 agents receives about 500 inbound calls per week. An admin team of 3 handles call routing, showing scheduling, and basic lead qualification. Salary cost: roughly $150,000/year.
Deploy a voice agent system and one lead scoring AI agent. Cost to build: $60,000-$70,000. Annual operating cost: $15,000-$20,000 for API usage and hosting. The voice agent handles 70-80% of inbound calls. The admin team drops to 1 person focused on complex situations only.
Year-one savings after build cost: $50,000+. Year-two savings: $110,000+. And the AI handles calls at 2 AM, on weekends, and during holidays without overtime.
The math works. That’s why real estate companies are moving fast on AI adoption.
What Integrations Do You Support?
We build integrations with whatever your team already uses:
- CRMs: Salesforce, HubSpot, Follow Up Boss, kvCORE, LionDesk, Wise Agent
- MLS Systems: RETS/RESO Web API feeds, IDX integrations
- Listing Platforms: Zillow, Realtor.com, Redfin, Trulia
- Calendar: Google Calendar, Outlook, Calendly
- Communication: Twilio (voice/SMS), SendGrid (email), WhatsApp Business API
- Document Management: DocuSign, Dotloop, SkySlope
- Accounting: QuickBooks, Xero
If it has an API, we can connect it. If it doesn’t, we’ve built custom scrapers and middleware for systems that only offer CSV exports or manual interfaces.
Tell us what you’re using today and we’ll map out the integration plan.
Frequently Asked Questions
Can an AI voice agent really handle complex property questions from buyers?
Yes, if it’s built correctly. The voice agent is loaded with your listing data — every detail from the MLS feed plus custom notes your agents add. It handles questions about price, square footage, school districts, HOA fees, parking, pet policies, renovation history, and more. When a question falls outside its knowledge, it tells the caller it will have a human agent follow up and schedules the callback automatically. In our deployments, voice agents handle 75-85% of property inquiry calls without human intervention.
How long does it take to get an AI agent system running for a real estate company?
A focused voice agent for property inquiries and showing scheduling takes 4-6 weeks from kickoff to production. A full system with lead scoring, document processing, and listing automation takes 10-14 weeks. We start with a discovery sprint in week one to map your workflows, data sources, and integration points, then move into build sprints with weekly demos.
Will this work with our existing CRM and MLS setup?
We’ve integrated with every major real estate CRM and MLS system. If you’re using Follow Up Boss, kvCORE, Salesforce, or HubSpot, we have existing connector patterns. For MLS, we work with RETS feeds and RESO Web API. During discovery, we audit your current stack and build the integration layer as part of the project scope.
What happens when the AI makes a mistake — gives wrong pricing or books a double showing?
We build guardrails into every system. Pricing data is pulled directly from your listing database in real-time, so it’s always current. Showing scheduling checks calendar availability before confirming. Every AI action is logged with full audit trails. You set the rules for what the AI can do autonomously and what requires human approval. For high-stakes actions like price negotiations, the AI escalates to your team every time.
How does this compare to buying an off-the-shelf real estate AI tool?
Off-the-shelf tools give you a generic product that works the same way for every brokerage. Custom AI agents are built around your specific workflows, your data sources, your team structure, and your business rules. You own the system, control the data, and can modify it as your business evolves. The upfront cost is higher than a SaaS subscription, but you’re not paying per-seat monthly fees forever, and the system does exactly what you need instead of 80% of what you need.
Do we need to hire AI engineers to maintain the system after you build it?
No. We offer ongoing maintenance and support packages. Your team manages the system through a dashboard we build — updating listings, adjusting lead scoring rules, reviewing call transcripts, modifying workflows. The technical maintenance (model updates, infrastructure, API changes) is handled by our team on a retainer basis. Most real estate clients spend 10-15 hours per month on maintenance support.
