Boom
AI-powered property valuation and real estate analytics platform for lenders, investors, and appraisers.
What it does
Boom is an AI-native property valuation and real estate analytics platform that provides automated valuation models (AVMs), market analytics, and property intelligence for mortgage lenders, real estate investors, appraisers, and property technology companies. Its AI capabilities include machine learning AVMs that generate instant property value estimates from comparable sales, property characteristics, and market trend data, AI-powered market analytics that identify emerging pricing trends at the neighborhood and zip code level, automated appraisal review that flags anomalies in traditional appraisals, and risk scoring that assesses collateral risk for mortgage underwriting. Boom's valuation models are trained on transaction data and continuously updated as market conditions change.
Why AI-NATIVE
Boom is AI-native - machine learning automated valuation models, AI market trend detection, and intelligent appraisal review are the core product capabilities built on real estate data AI.
Best for
Small mortgage brokers and real estate investors use Boom for instant property valuations - AI AVMs providing quick, data-driven price opinions without waiting for manual appraisals on lower-risk decisions.
Mid-market mortgage lenders and real estate investment firms use Boom for property valuation at volume - AI AVMs processing hundreds of properties for portfolio valuation, refinance decisions, and investment screening.
Large banks and mortgage servicers use Boom for enterprise property intelligence - AI valuations supporting appraisal modernization programs, portfolio risk monitoring, and collateral management at scale.
Limitations
Machine learning AVMs perform best in dense urban and suburban markets with high transaction volume — rural markets, unique properties, and areas with thin comparable sales data yield less accurate automated estimates.
AI AVMs support many lending decisions but do not replace GSE-compliant appraisals for conforming mortgage origination — regulatory requirements in many lending contexts still mandate traditional appraisals.
AVM accuracy degrades in rapidly changing markets where transaction data lags real-time price movements — lenders should understand model update cadences in their target markets before relying on AVMs for risk decisions.
Alternatives by segment
| If you need… | Consider instead |
|---|---|
| Real estate market data and analytics | HouseCanary |
| Property data and ownership records | CoreLogic |
| Mortgage technology platform | Simple Nexus |
Boom pricing based on number of AVM queries and analytics access tier. Not published. Lender and investor contracts negotiated based on volume. API pricing available for technology integrations.
