What is HouseCanary?
- Founders: Jeremy Sicklick and Christopher Stroud
- Launch: 2013
- Use Cases: Real estate valuations, market forecasting, investment discovery, loan underwriting, risk assessment, comparative market analysis, property portfolio monitoring, and brokerage support.
- Technology: Machine learning models, automated valuation models (AVMs), predictive analytics, cloud-based architecture, and large-scale real estate datasets.
HouseCanary is sophisticated real estate data and analytical technology created to provide clarity and accuracy on property values and housing market forecasts. Since launching in 2013, HouseCanary has revolutionized how professionals evaluate property value, quantify risks, and identify investment opportunities. HouseCanary uses a unique dataset of more than 136 million homes in the U.S., along with machine learning and predictive modeling, to provide precise property values, housing market predictions, and insights about neighborhoods. The comprehensive company insights are leveraged by lenders, investors, real estate brokers, and financial institutions that require the due diligence and intelligence to make informed borrowing decisions with speed.
HouseCanary's tools give professionals the ability to compare properties, evaluate neighborhood trends, and manage portfolio activity with real-time analytics. As well, the integration of conversational AI provides the opportunity to speak with the system naturally, asking questions and receiving bespoke responses in real time. HouseCanary ranks highly as the leading and most accurate automated valuation tool, and it reduces hardship on loan underwriting and bafflement in spotting market dislocations. Whether pricing the next property, understanding market momentum, or managing large real estate portfolios, HouseCanary gives its users the clarity and confidence to address ongoing alterations to housing.
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