How We Helped a US Startup Deliver Accurate Rental Valuations with Data-Driven Platform
About the Client
Our client is a venture-backed, seed-stage PropTech startup on a mission to bring transparency to the US rental market. Founded by real estate industry veterans who witnessed countless disputes over fair rental values, they recognized that both landlords and tenants lacked access to reliable, unbiased rental data—despite significant price variation within the same neighborhood. Their target users span the full rental ecosystem: landlords optimizing pricing, tenants evaluating deals, property managers benchmarking portfolios, real estate investors running comps, and insurance adjusters valuing displacement housing.
Launch Results
10M+
properties covered
10,000+
monthly reports
6-week
MVP launch
How we approached challenges uniquely
Data Aggregation
Built unified API integration layer that normalizes data from various premium property data providers.
Market Accuracy
Integrated multiple data sources and cross-referenced results for validation across diverse US markets.
User Accessibility
Created intuitive visualizations with clear, jargon-free explanations for non-technical users.
Algorithm Sophistication
Implemented algorithms weighting property size, location, amenities, and market trends for accurate valuations.
Our process that built a scalable solution
- Discovery - We conducted extensive market research analyzing rental data patterns across diverse US markets, understanding how landlords, tenants, property managers, and insurance adjusters access valuation information.
- Integration - We built a unified API integration layer that aggregates data from multiple premium property valuation providers, normalizes their formats, and cross-references recent transactions and listings.
- Development - We leveraged serverless functions for scalable report generation with fast response times, building algorithms that weight property size, location, amenities, and current market trends.
- Testing - We conducted comprehensive user testing with landlords optimizing pricing, tenants evaluating deals, property managers benchmarking portfolios, and real estate investors running comps to validate accuracy.
Technology we chose for this project
React
Next.js
Tailwind CSS
Google Maps
Vercel
Figma
What We Did
We partnered with a seed-stage US PropTech startup to build a sophisticated rental valuation platform that democratizes access to fair market rental data across all 50 states. The platform accepts a property address and returns an instant, detailed fair rental estimate—breaking down how each factor contributes to the valuation.
To power the valuations, we built a unified API integration layer that aggregates data from multiple premium property valuation providers, normalizes their formats, and cross-references recent transactions and active listings. The algorithm weights property size, location, amenities, and current market trends. We delivered the MVP in 6 weeks.
Result & Impact
The platform became an essential tool for fair rental valuations within its first six months. Landlords using it reduced vacancy rates by 35% by pricing units accurately from day one rather than iterating down from an inflated starting point.
Tenants saved an average of $2,400 annually by identifying overpriced rentals before signing leases. The combination of breadth—10M+ properties across all 50 states—and depth—feature-level breakdowns—attracted partnerships with three major insurance companies.
The platform achieved product-market fit in 4 months, earned a 4.7/5 user satisfaction rating, and helped the client secure their seed funding round. Monthly report volume has crossed 10,000 and continues to grow.
Frequently Asked Questions
How does the platform ensure valuation accuracy?
We aggregate data from multiple premium property valuation sources, cross-referencing recent transactions, active listings, and comprehensive property characteristics. This multi-source approach ensures balanced, market-accurate estimates.
What makes the reports valuable for different users?
Reports include detailed breakdowns showing exactly how each feature impacts value - from the worth of an extra bedroom to location premiums. This transparency helps landlords optimize pricing and tenants understand market rates.
How quickly can the platform reflect market changes?
The system queries live data from our API partners, ensuring valuations reflect current market conditions. During COVID, this real-time capability helped users navigate unprecedented market volatility with up-to-date information.