Proptech That Solves Real Problems
Half of proptech startups build features no one asked for. We focus on the problems property professionals actually face — slow valuations, empty units, blind spot maintenance, and tenant churn. Our builds run on real data from MLS feeds, IoT sensors, and market APIs, not pitch deck assumptions.
What is Proptech Development?
Proptech development is building technology products that change how real estate is bought, sold, managed, and experienced. It sits at the intersection of real estate domain knowledge and modern engineering — computer vision for property condition analysis, MQTT-based IoT networks for building management, AI models trained on transaction data for pricing, and platforms that digitize the paper-heavy workflows that still dominate the industry. The best proptech is not flashy; it removes friction from a specific real estate workflow.
- AI and ML models trained on real transaction and market data
- IoT integrations using MQTT, Zigbee, and BACnet protocols
- Computer vision for property analysis, damage detection, and virtual staging
- Platform design that fits into existing broker and property manager workflows
Proptech Solutions We Build
From AI valuations to smart building infrastructure, we build the technology that property companies are betting their futures on.
AI-Powered Valuation Engines
Automated valuation models trained on MLS sold data, tax assessor records, permit history, and neighborhood metrics. Our models hit median error rates of 3.8% on residential properties — competitive with manual CMAs for initial pricing.
Virtual Tour & 3D Platforms
Custom virtual tour solutions beyond Matterport's limitations. WebGL-based 3D walkthroughs, AI-powered virtual staging that costs $29 per room instead of $2,000 for physical staging, and floor plan extraction from photos.
Smart Building IoT Systems
Building management platforms that ingest data from HVAC, lighting, access control, and occupancy sensors via MQTT and Zigbee. One 40-unit building cut energy costs by 31% with automated climate scheduling based on occupancy patterns.
Tenant Experience Platforms
Mobile-first apps for rent payment, maintenance requests, package notifications, and community engagement. Properties using our tenant apps see 18% higher lease renewal rates compared to those without a digital tenant experience.
Investment Analysis Tools
Portfolio modeling, deal underwriting, and market analytics platforms for real estate investors. Pull comparable sales, rental comps, and demographic data into a single dashboard for faster investment decisions.
Property Matching & Recommendations
ML-driven recommendation engines that match buyers with properties based on behavior signals, not just saved search criteria. Click patterns, time spent on listings, and neighborhood browsing predict intent better than explicit filters.
Where Proptech Creates Measurable Impact
Proptech works when it targets a specific inefficiency. Here are the areas where we have seen the strongest ROI.
Proptech Startups Going to Market
Get from concept to working product in 10-14 weeks instead of 6+ months. We have helped 8 proptech startups ship MVPs that attracted seed funding. Our approach: validate the core thesis with a narrow feature set, then expand based on user data.
Property Management Companies
Smart building retrofits and tenant experience platforms for companies managing 500+ units. One management company reduced maintenance response time from 48 hours to 6 hours and cut vacancy rates by 23% with a tenant app and IoT monitoring system.
Real Estate Investment Firms
Automated deal sourcing, underwriting models, and portfolio analytics. A private equity firm using our deal pipeline tool screens 3,000 properties per week — work that previously required 4 analysts spending 2 days each.
Brokerage Technology Teams
Custom tools that give your agents a competitive edge — AI listing descriptions, automated CMA generation, and predictive lead scoring. One brokerage saw agents using the AI CMA tool close 12% more listing appointments.
How We Build Proptech Products
Proptech fails when engineers do not understand real estate. Our team has built 40+ property technology products across residential, commercial, and property management.
Market & Data Assessment
We audit available data sources — MLS feeds, public records APIs, IoT sensor availability — and map them against your product thesis. Many proptech ideas fall apart at the data layer. Better to discover that in week one than month six.
Prototype & Validate
Build a functional prototype focused on the single most important workflow. Test it with 10-15 real users from your target market. We care about task completion rates and time-on-task, not opinion surveys.
Core Product Engineering
Develop the production system with real data integrations, proper security, and architecture that can handle growth. For IoT projects, this includes sensor deployment planning and edge computing design.
Data Pipeline & ML Training
Build the data ingestion pipelines and train ML models on real property data. Valuation models need 6-12 months of local sold data minimum. We are upfront about data requirements and model accuracy limitations.
Launch & Iteration
Deploy to production with monitoring, gather usage analytics, and iterate based on actual behavior. Proptech products typically need 2-3 iteration cycles before product-market fit becomes clear in the engagement metrics.
Ready to get started? Let's discuss your project.
Proptech Development Investment
Investment varies significantly based on AI complexity, IoT hardware, and data source licensing costs.
MVP & Validation
Functional prototype with core features for market validation and investor demos. Designed to test your thesis before committing to a full build.
Custom pricing based on your requirements
- Core workflow implementation
- Basic data integration (1-2 sources)
- Web or mobile app (one platform)
- User analytics and feedback tools
- 10-14 week delivery timeline
- Post-launch iteration support
Growth Product
Full-featured proptech platform with ML capabilities, multiple data integrations, and production-grade infrastructure.
Custom pricing based on your requirements
- Complete feature set development
- ML model training and deployment
- Multiple data source integrations
- Cross-platform (web + mobile)
- IoT integration (if applicable)
- Performance optimization and scaling
- Ongoing model retraining support
Enterprise Platform
Large-scale proptech infrastructure for companies operating across markets with high data volume and strict accuracy requirements.
Custom pricing based on your requirements
- Multi-market data aggregation
- Advanced ML pipeline with A/B testing
- Enterprise IoT infrastructure
- White-label and partner APIs
- SLA-backed uptime and accuracy
- Dedicated engineering team
- Quarterly model accuracy audits
Proptech Development Questions Answered
Quick answers to the questions we hear most often.
On residential properties, our models typically achieve a median absolute error of 3.5-5% compared to final sale price. That is competitive with quick manual CMAs but not as accurate as a full appraisal. The accuracy varies by market — dense urban areas with lots of comparable sales perform better than rural markets. We always show confidence intervals, not just point estimates, so users know when to trust the number and when to dig deeper.
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Ready to Get Started with Proptech Development?
Let's discuss your project and discover how we can help you achieve your business goals with our expert team.