We track each metric through time by location, and build predictive models to extrapolate it into the future.
Real-estate is hyper-local, so it helps to be on top of trends. We cross-reference thousands of correlations,
and examine effects of current political and economic effects using deep learning. We overlay feeds from multiple
sources to reduce error and gain insight into trends that have not yet been published by the government. Our model
pays attention to trends, not just current snapshots. We don't just aggregate data from other sources, like our
competitors, we build our own predictive models. Each metric is exposed via predictive API for enterprise consumption.