Cloud CMA vs Quantarium

The most widely-used CMA platform in North American real estate, owned by Lone Wolf and included with many MLS memberships.

$24.95/mo (MLS-bundled free)

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Quantarium

Quantarium delivers AI-powered automated valuations across 158 million U.S. properties — the same engine selected by FHFA for next-generation appraisal. Its per-report QCMA product adds computerized comparable adjustments and TerraLook condition scoring to standard AVM output.

$1.50/report

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Cloud CMA vs Quantarium: feature comparison

Feature	Cloud CMA	Quantarium
Automated AVM	✓	✓
Interactive Presentation	✓	✗
Market Reports	✓	✓
MLS Integration	✓	✗
Client-Facing Portal	✓	✗
Branded Exports	✓	✗
Mobile Access	✓	✗
Free via MLS / NAR	✓	✗

Cloud CMA — Pros & Cons

Pros

Industry-standard CMA presentations
Often free via MLS
Polished client-facing output
Integrates with Cloud Streams and HomeBeat

Cons

Limited customization on free MLS tier
UI can feel dated vs newer entrants
Owned by Lone Wolf — ecosystem lock-in

Quantarium — Pros & Cons

Pros

Independent testing ranked its QVM the most accurate AVM in the U.S. for three consecutive years, outperforming CoreLogic, HouseCanary, and Clear Capital.
Self-service marketplace requires no sales call — per-report pricing from $1.50 for basic details to $12.99 for a full QCMA with automated comps and TerraPlot map.
TerraLook computer vision scores property condition, room quality, and damage from listing photos — a differentiated feature no mainstream CMA tool currently offers.
Covers 158 million+ U.S. properties across 3,000+ counties with 5,000+ data fields per parcel, including monthly Home Price Index updates.

Cons

Enterprise and API pricing is entirely opaque — brokerages and teams must contact sales before receiving a single cost figure.
Output is data-dense and technical, not a polished presentation; agents need a second tool to turn the valuation into a client-ready CMA report.
Review footprint is nearly absent on major platforms such as G2 and Capterra, making third-party social proof hard to find despite the product's track record.
Rural and niche property types show documented accuracy gaps; confidence intervals widen significantly outside major metro markets.

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