Transforming real estate search into intelligent matching through machine learning" title="" class="btn" data-container="body" data-html="true" data-id="70266" data-placement="top" data-toggle="popover" data-trigger="focus" style="color:#b3d4fc" tabindex="0" data-original-title="HipPocket"> 203 82
Activities
Technologies
Entity types
Location
2914 Main, Dallas, TX 75226, USA
Dallas
United States of America
Employees
Scale: 2-10
Estimated: 3
Engaged corporates
3Added in Motherbase
5 years, 2 months agoIt takes too long to find or to sell a home—10 weeks on average to search for a home to buy and 12 weeks to sell a home. AI can improve this but seller-focused property websites and Multiple Listing Service (MLS’s) have no incentive or ability to change. Zillow does not want to disrupt $750M of ad revenues. The 850 MLS’s are agent-only tools and each organization does not have the ability, funds and scale to introduce AI. Buyers and Sellers continue to suffer if this status quo is not broken.
To solve this problem, we're developing a buyer-focused, AI matching service for real estate agents and home buyers. HipPocket is an intelligent real estate platform that reduces search and sale times by matching buyers faster to more relevant homes using machine learning, and powering rapid collaboration between all stakeholders (buyer, both agents and seller) through AI enhanced messaging.
Machine learning, Artificial Intelligence, Real estate technology, Real estate brokerage technology, and Real estate agent technology
Corporate | Type | Tweets | Articles | |
---|---|---|---|---|
![]() MIPIM NY Real Estate, Trade show | MIPIM NY Real Estate, Trade show | Other 5 Sep 2019 | | |
![]() Teva Pharmaceuticals Pharmaceutical, Pharmaceutical Manufacturing | Teva Pharmaceuticals Pharmaceutical, Pharmaceutical Manufacturing | Other 12 Feb 2021 | | |
![]() Techstars Startup accelerator & VC, Venture Capital & Private Equity | Techstars Startup accelerator & VC, Venture Capital & Private Equity | Not capitalistic Partnership Event 2 May 2017 | |