AI for PropTech
Leadflow logo

Leadflow

Leadflow's Sellability Score, now in its 11th generation, runs three independent machine learning models retrained monthly and back-tested against actual outcomes to rate each property 0 to 1,000 on its likelihood to sell within 90 days, split into Retail, Rental, and Wholesale scores. The company says marketing to AI-scored leads raised seller response rates by 271 percent versus a general list.

Best for: Real estate agents, investors, wholesalers, and landlords who want AI-ranked motivated-seller lists rather than raw skip-trace data

Last reviewed 6/2/26

Category: Brokerage & Transactions Predictive lead generation and motivated-seller scoring
Tags: predictive analyticslead generationseller scoringreal estate investingmachine learningdata licensing
Integrations
API, S3, SFTP, CSV export, Parquet, JSON
Property types
single-family residential, multifamily residential
Geography served
United States
AI

How Leadflow uses AI[1][2][4]

Leadflow's Sellability Score, now in its 11th generation, runs three independent machine learning models retrained monthly and back-tested against actual outcomes to rate each property 0 to 1,000 on its likelihood to sell within 90 days, split into Retail, Rental, and Wholesale scores. The company says marketing to AI-scored leads raised seller response rates by 271 percent versus a general list.

  • Sellability Score (11th generation) rates each property 0 to 1,000 across Retail, Rental, and Wholesale categories
  • Three independent AI models retrained monthly and back-tested against real outcomes
  • Vendor reports a 271 percent increase in seller response rates from AI-scored leads versus a general list
  • Models draw on 1,500+ engineered signals across behavioral, lifecycle, financial, and transactional dimensions
  • List stacking lets users layer lead types (absentee owners, high equity, distressed) into targeted lists
  • SellScope AI and the broader Scope suite deliver the same predictive scores to enterprises via API, S3, SFTP, or portal

AI type: Predictive scoring / machine learning

API: yes MCP: no

Key numbers[1][2][4]

  • Sellability Score is in its 11th generation, retrained monthly and back-tested against actual outcomes
  • vendor reports a 271 percent lift in seller response rates from AI-scored leads versus a general list
  • built on 136 billion data points spanning 40 years of real estate transactional data with 1,500+ engineered signals
  • Realeflow says it has been the AI leader in residential real estate investing since deploying AI in 2019
  • platform reports helping 200,000+ investors close $10 billion+ in transactions.

Credibility[3][4]

Founders
Founded by Greg Clement, an experienced real estate investor who serves as CEO; operated under parent company Realeflow.
Customers
Realeflow says its platform has helped more than 200,000 investors close over $10 billion in real estate transactions.

Founded

2006

Headquarters

Parma Heights, Ohio, USA

Stage

Private

Employees

25-100

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