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Case study · Real Estate

Real Estate Analytics Platform

8 months·Real estate investment firm·Data & AI

Integrated property, rental, market, and financial data platform with AI scoring.

Key results

  • Deal evaluation -70% faster
  • Market-data coverage 15 metros
  • AI scoring on 100% of evaluated properties

Context

A real estate investment firm evaluated rental-property acquisitions using a manual process across multiple data sources — MLS, Zillow, CoStar, local market reports, financial models. Analyst time per deal was material; deal throughput was the constraint on fund deployment.

Challenge

Consolidating the data sources required navigating the licensing and contractual terms of each provider. The AI scoring needed to be transparent enough for investment-committee review — black-box scoring would not pass their review process.

Approach

Thoughtwave delivered an 8-month real-estate analytics platform: integrated data ingestion from MLS, Zillow, and public data sources; market comparables analysis; financial modeling; transparent AI scoring with feature-importance surfacing for committee review. The engagement covered discovery, platform build, data integration across 15 metros, and analyst-team training.

Outcomes

Deal evaluation time dropped 70% per property; market-data coverage expanded to 15 metros from the original 4; AI scoring runs on 100% of evaluated properties with the investment committee reviewing the scoring logic alongside the financial models.

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