We're on a mission to know everything about every single property for sale and every single serious home buyer.

CURRENTLY IN THE WORKS

* A CV model built in Caffe with GoogLeNet classifying property photos into room types at 90% accuracy. * Utilizing Open Street Map data for geocoding and geo scoring ("near Whole Foods", "walk score", "family score", etc) * Scaling our data feed integrations from 10 to 100 * Clustering home buyers with a corpus of 25 million home buyer activity events

A LITTLE ABOUT US

We're on the way to Series B being previously backed by Joe Lonsdale (Palantir founder), Ken DeLeon (2012's #1 Realtor) and several others ($7m to date). The number of home purchases powered by RealScout tripled in 2015 and our user base has grown 400% since July.

If you're interested working with large and robust data to help agents change the way they use technology to sell more homes, feel free to reach me at chris (at) realscout.com.