PropTech Exit Tracker

Methodology

How we track, verify, and enhance PropTech exit data.

Data Collection Process

1. Automated Daily Collection (2 AM UTC)

  • Scan Companies House for ownership changes
  • Monitor news sources for exit announcements
  • Check company websites and social media
  • Track executive job changes on LinkedIn

2. AI Enhancement

  • Validate collected data for consistency
  • Fill missing information using contextual analysis
  • Generate confidence scores for all estimates
  • Create daily summaries and insights

3. Manual Verification

  • Review high-value exits manually
  • Verify against multiple sources
  • Contact parties when possible
  • Update records with confirmed data

Classification System

Exit Types:

  • Acquisition: Full company purchase
  • Merger: Combination of equals
  • IPO: Public listing
  • Asset Sale: Partial sale of business units

Technology Categories:

  • • Property Management
  • • Construction Tech
  • • Real Estate Fintech
  • • Smart Buildings/IoT
  • • Property Marketplaces
  • • Blockchain/Web3 Property

Confidence Scoring

1.0Confirmed by company announcement
0.9Multiple reliable sources
0.8Single reliable source + indicators
0.7Strong indicators (job changes, etc.)
0.6Industry rumours + some evidence
0.5AI estimation based on comparables

Inclusion Criteria

We track exits where:

  • Primary business is PropTech/ConTech
  • Exit value >£1M (or strategic importance)
  • UK-connected (HQ, operations, or buyer)
  • Occurred after 2015

Updates & Corrections

  • Data updated daily at 2 AM UTC
  • Corrections accepted via data@proptech-exits.ianyeo.com
  • Historical revisions tracked
  • Change log maintained