The complex and scattered nature of real estate records makes research and analysis challenging. Our artificially intelligent algorithms analyze a vast array of data and synthesize meaningful insights from those diverse inputs.
The residential real estate industry is always growing and shifting. The analytical machines that we build are powered by machine learning — continually improving their own performance based on new data.
The time it takes to have people review images adds up to significant spending. Our engineers have trained our neural network to identify the type of room shown in an image and assess home condition based on photos.
Real estate records vary from place to place, sometimes conflict, and require the context of local markets and other risk factors. We normalize and curate data from thousands of sources, ensuring accuracy with artificially intelligent and manual quality control systems.
