Built for real estate intelligence
RentLens combines 15+ public data sources with machine learning to forecast rental and home value trends across the US.
719 metros · 50 states · 8,000+ zip codes · 30+ ML features · Updated monthly
We ingest data
Zillow, BLS, Census, FRED, IRS, FEMA, HUD and more — refreshed monthly.
Our models learn
Proprietary ML models trained on 30+ economic and market features. Updated monthly. 1.58% average forecast error.
You get insights
Interactive maps, explainable forecasts, and exports.
Plans
- Team seats1
- Explorer (all views)✓
- Home values✓
- 2-month forecasts✓
- 12-month forecasts—
- Favourites reports—
- Feature importance—
- Per-metro accuracy✓
- Explainability—
- Excel export—
- Favourites5
- Team seats1
- Explorer (all views)✓
- Home values✓
- 2-month forecasts✓
- 12-month forecasts✓
- Favourites reports✓
- Feature importance✓
- Per-metro accuracy✓
- Explainability✓
- Excel export—
- FavouritesUnlimited
- Team seatsUp to 5
- Explorer (all views)✓
- Home values✓
- 2-month forecasts✓
- 12-month forecasts✓
- Favourites reports✓
- Feature importance✓
- Per-metro accuracy✓
- Explainability✓
- Excel export✓
- FavouritesUnlimited
Annual plans available — save 17%
Need more seats? Additional 5-seat packs available for $150/mo, or enquire about Enterprise.
Custom data integration, dedicated forecast models, multi-seat access with SSO, and white-glove onboarding. Built for property management companies and investment firms.
Work with us
We integrate any data source into the platform — your portfolio data, operational metrics, marketing spend, or third-party feeds. Every data point can be mapped, benchmarked, and forecasted.
Portfolio
Operations
Market
Marketing
Every data point can be visualised on the map, benchmarked against the market, and fed into our forecasting models for custom predictions tailored to your portfolio.
- Private data is never used to train public models
- No cross-pollination between customers
- Encrypted, isolated, delete at any time