Our proprietary AI platform does in seconds what would take an analyst team weeks to produce manually.
Built in partnership with Dallas Data Science Academy, our platform ingests market data for 200+ zip codes across 10 metros and runs four analytical layers simultaneously — statistical analysis, machine learning price forecasting, investment scoring, and market segmentation.
Every zip code receives a 0-100 investment score, a letter grade, and a plain-English investment brief updated monthly.
Our Random Forest machine learning model predicts median sale price 6 months forward for every monitored zip code. Trained on time-ordered historical data to prevent future leakage.
A 0-100 composite score across six weighted factors: appreciation (25%), neighborhood quality (20%), gross rental yield (20%), market heat (15%), price velocity (10%), and net rental yield (10%).
K-Means clustering groups zip codes into five market personalities: Growth, Cash Flow, Premium, Declining, and Stable — so investors can find markets that match their strategy.
Plain-English 4-6 sentence investment narrative for any zip code explaining the opportunity, key risks, comparable markets, and a clear Buy, Hold, or Avoid recommendation.
Six factors. Publicly disclosed weights. No black boxes.
Weights sum to 100%. Updated quarterly based on market conditions.
Our AI Investment Intelligence Platform was designed and developed through DDSA's AI Practicum program — where advanced data science students deliver real AI solutions for local Texas businesses under the mentorship of a practicing Fortune 10 data scientist.
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