SearchSmartly

Overview The property search and move-in experience has always been deeply inefficient, painful, and time-consuming, with renters spending up to 100 hours scouring the internet to find the right home. SearchSmartly makes this process faster for renters through the use of our intuitive, smart matchmaking algorithms that allow us to truly understand the user and their lifestyle needs. We match users to their ideal properties and neighborhoods on an intimate level, and generate highly-convertible leads for estate agents and local amenity service providers.  In the future, we will use the proprietary lifestyle needs data we collect to provide early bird leads to the local services that can best address our user's needs as soon as they move into their new neighborhoods. Traction Since incorporation, SearchSmartly built and launched our MVP, serving hundreds of renters through a digital concierge offering each day. We have commercial relationships in place with some of London's largest estate agents, including JLL, CBRE, and many others.   Team SearchSmartly are co-winners of the 2018 Great British Entrepreneur Challenge, and are a 2018/19 cohort member of the London Business School Incubator. Taha Dar (CEO) has a diverse background in technology, finance and strategy, and helped design and implement the Red Bull Racing F1 team’s first AI technology. Lawrie Platt-McWall (Technology) brings full-stack software development expertise, and prior domain experience having built PhotoBox, a popular proptech product used by hundreds of estate agents.