Meet the Startups in Dreamit UrbanTech's Fall 2018 Cohort
Four breakthrough companies were accepted into Dreamit’s growth-focused program for startups reshaping the built environment.
This week, our team at Dreamit announced our twenty-fifth cohort of startups. We chose 18 startups from over 1,300 applications to participate in the Fall 2018 cohort, which kicked off on September 3. Four of these startups will take part in Dreamit’s UrbanTech program for startups in real estate tech and construction technology.
Dreamit Startups at Kickoff Week on September 3
The four startups selected are addressing major challenges across the value chain of real estate, including streamlining the way developers utilize zoning data, enabling smart buildings to control themselves for energy and cost savings, reducing the time and complexity around analyzing applications for renters, and giving all building owners the ability to provide tenants with a robust amenities platform.
During the next 14 weeks, our team will provide the startups with access to extensive customer, industry, and investor networks. During two weeks of Dreamit Customer Immersions, founders will meet with senior leadership at some of the largest real estate and construction firms in multiple cities. As Dreamit’s focus during acceleration is to have startups close their next round within six months after the program, the capstone is a 2-week bi-coastal curated investor roadshow where startups meet one-on-one with interested investors.
Dreamit UrbanTech startups are creating products that build upon emerging technology to solve critical problems in real estate and construction:
Especially in urban areas, modern tenants expect strong digital offerings that connect them to amenities in their building and in the local community.
With acceptance criteria for housing remaining stringent and cybercrime becoming easier to perpetrate, landlords need better tools and new data points to reduce instances of application fraud and to better vet renters.
Real estate developers who are not leveraging software and data to answer questions on issues like zoning will be at a greater time and resource disadvantage to their competitors.
Buildings account for over 40% of carbon emissions in the United States, but AI and machine learning are enabling owners to automate their buildings to reduce energy consumption, increasing comfort for tenants and reducing costs for owners.
