iOi Hackathon Data Providers: Multiple Listing Services

With the Hackathon fast approaching, we’re letting everyone know about our Hackathon sponsors. We’re excited that we are able to give our participants access to three of the best multiple listing services in the country – California Regional MLS, Midwest Real Estate Data, and the San Francisco Association of REALTORS® MLS. These MLSs are three of the top service providers for real estate professionals, serving over 100,000+ REALTORS® in the California and Chicagoland areas. All three also are well known in the MLS community for always looking forward to the future of real estate, creating innovative new data and analytics products for their members.

CRMLS

MRED

SFAR

A technology-forward MLS is about more than just listing data – its about creating a seamless series of tools for its members, which includes world-class customer service, easy-to-use software tools, and innovative ideas about the future of real estate. All three of our sponsors have these qualities in spades, which is why they are considered some of the top MLS providers in the US.

Their data represents the archival housing stock of their respective areas, and is provided to our Hackathon participants in the hopes that it’ll be used to create AI solutions to some common real estate problems, like making virtual office websites ADA compliant or making better Automated Valuation Models. During the Hackathon, we’ll be tweeting about the projects as we learn about them, and we look forward to seeing what comes from this incredible wealth of data provided by our MLS partners.

iOi Hackathon Data Provider: Enodo

enodo logo

With about a week to go before our iOi Summit in San Francisco, we wanted to let everyone know about another one of our data providers, Enodo. Enodo uses artificial intelligence and machine learning to analyze multifamily property information from across the country and present key investment takeaways in an easy-to-understand dashboard, cutting out the confusing tables and forms usually associated with underwriting these properties.

Enodo takes data from leading property data sources and brings it together in a digestible way to allow for property managers, investors, and other CRE professionals to make key decisions about their multifamily properties. Enodo’s software looks at about 2 million properties weekly, analyzing all that data together and using it to help users understand comparable property rents, amenities, and more.

For the iOi Hackathon, Enodo is providing our contestants with multiple tools that look at dozens of different metrics surrounding multifamily properties. These tools include Enodo’s:

– Amenity Parsing Utility
– Rent Prediction Tool
– Operating Expense Prediction Tool
– Comparable Property Detection Tool
– Amening Pricing Query Tool

These predictive analytic tools can be used with other API providers in our hackathon to create comprehensive real estate technology solutions, and we are looking forward to seeing how our participants use Enodo in their projects!