Here are some examples of how we’ve delivered measurable value for our clients.

Case Study: Predictive Valuation for National Real Estate Brokerage

• Client: A leading national real estate firm.
• Challenge: The firm’s agents relied on time-consuming manual comparative market analysis (CMA), leading to inconsistent property valuations and slower offers.
• Solution: We developed and deployed a custom machine learning model that ingests dozens of data sources—including MLS data, public records, neighborhood demographics, and market trends—to generate a highly accurate property value estimate in seconds.
• Result: The tool increased agent efficiency by 30% and improved valuation accuracy by 15% when benchmarked against final sale prices. It is now used across all 50 of the client’s offices.

Case Study: AI-Powered Claims Segmentation for an Insurance Provider

• Client: A mid-sized flood insurance insurer.
• Challenge: The claims department was overwhelmed, with simple and complex claims receiving the same level of initial scrutiny, causing delays and high processing costs.
• Solution: We implemented an NLP-based model to analyze incoming claim reports. The system automatically categorizes claims by complexity, flags potential fraud indicators, and routes them to the appropriate adjuster (fast-track vs. senior review).
• Result: Reduced average claim processing time by 40% for low-complexity claims and increased fraud detection rates by 25%.