U.S. Ownership Records
4.2B+
What if you could know which property owners are about to sell-before they ever list their property?
We analyze U.S. behavioral ownership patterns to detect early-stage real estate opportunities before they become public deals.
We do not track properties. We decode owner behavior to reveal real estate opportunities before they become visible to the market.
U.S. Ownership Records
4.2B+
Properties Modeled
162M+
Behavioral Signals
340+
Built on a multi-layer AI system, powered by real estate + data + intelligence workflows, and designed for real acquisition execution.
Data
Records, ownership history, transaction events.
Behavior
Normalize owner patterns and align timelines.
Features
Extract stress, motivation, and shift signals.
AI Models
Sell-likelihood, ranking, and time-to-sale models.
Output
Opportunity score, sale probability, 30/60/90 windows.
Identify owners likely to exit before properties are listed.
Rank lead lists by sale probability and timing window.
Build high-probability sourcing funnels with fewer dead leads.
Improve return per channel by targeting high-intent owners.
Ownership Stress Pattern
HighTrend: Escalating
Multi-quarter stress acceleration indicates increasing probability of a near-term liquidity event.
Portfolio Imbalance
MediumTrend: Positive Shift
Concentration pressure and portfolio rebalancing behavior map to selective disposition signals.
Decision Delay Behavior
HighTrend: Compression
Long-cycle indecision collapses into action windows, improving outbound conversion timing.
Equity Unlock Pattern
HighTrend: Accelerating
Refinance and leverage behavior points to liquidity optimization and near-term sale probability.
Engagement Decay
MediumTrend: Declining Activity
Long-term interaction decline with asset maintenance cycles signals potential exit motivation.
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See how your team can uncover off-market real estate opportunities earlier, move faster, and improve margin.
Book a Demo