HouseCanary

SaaS - San Francisco, CA, US

HouseCanary Employees
Madhav R.

SVP, Engineering and Product, Investor

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Yigit I.

Senior Software Engineer

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Charles L.

Director of Corporate Development & Head of Strategic Finance

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Chris Redford

senior software engineer - backend

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Roy Wellington

Senior Software Engineer

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Jason Lewallen

Senior Software Engineer

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HouseCanary Details

Founded in 2013, HouseCanary is a real estate technology company providing the most accurate home valuations to drive smarter decisions across the real estate ecosystem. With a 2.9% Median Absolute Prediction Error (MdAPE), our accuracy is unmatched in the industry. We have assembled the most comprehensive dataset in the residential real estate industry, drawing from over 200 individual databases. Combined with our sophisticated machine learning models, which understand the relationships between property value drivers, we can determine the current and future valuations for 100 million residential properties and deliver insights that empower our customers to make the smartest decisions about their real estate investment assets.OUR PEOPLE: We are communicative, collaborative, and passionate about our journey to build world-class products that transform the way decisions are made in a $35 trillion asset class.OUR CUSTOMERS: As the most trusted provider of automated valuations in the residential real estate industry, we serve three of the largest multinational investment banks focused on warehouse lending, five of the top residential whole loan buyers on Wall Street, and four of the top single-family rental companies.OUR INVESTORS: Top investors believe in our vision. They include Hillspire (Alphabet Executive Chairman Eric Schmidt's family office), PSP Capital (founded by entrepreneur and former Commerce Secretary Penny Pritzker), Bryant Stibel (cofounded by NBA All-Star Kobe Bryant), ECA Ventures (Mark Dyne), Alpha Edison, Raven Ventures, and others.

HouseCanary logo, HouseCanary contact details
Website: housecanary.com
Employees: 100 - 249
HQ: 855-218-9597
Location: San Francisco, CA, US
Revenue: 10 - 20 Million
Real Estate Forecasting Big Data Analytics Python AWS Redshift PostgreSQU R Pandas NumPy PostGIS Django Flask AngularJS React Swift Ansible Terraform DynamoDB S3 Aurora Mortgage Geospatial Analytics Capital Markets Loan Origination Appraisals Document Services Portfolio Analysis Mortgage Refinance Leads Machine Learning Home Valuation Real Estate APIs Single Family Rental real estate analytics Real Estate Analytics Automated Valuation Models B2B B2C Real Estate Tech SaaS Real Estate Agents and Managers Real Estate Internet Information Technology
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