Deepblocks is revolutionizing real estate development.
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The potential of AI seems to be limitless and Deepblocks offers a tool that harnesses some of that power. Their technology allows real estate developers to pinpoint parcels of real property and plan their projects accordingly.
Deepblocks, which is designed to optimize returns for real estate investors, has secured at least $2.3 million from investors including CRCM Ventures and Singularity University Ventures.
Ramos is the founder and CEO of Deepblocks, a property technology venture that uses artificial intelligence to help real estate developers identify parcels for their projects.
Deepblocks – Miami, Florida: Deepblocks is utilizing technology to reshape development an entitlement decisions through a real-time analysis of financial and market data, in combination with local building regulations.
“Zoning data, the rules of the city, are usually 400- page PDFs and are really expensive to go through and understand,” says Ramos, who has a master’s degree in architecture from Columbia University and a master’s in real estate development from the University of Miami.
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In part two of our conversation, she discusses the process she undertook in acquiring funding for her company, and some insights on where she sees the most promising technological developments for the immediate and more distant future.
In this episode of UpTech Report, I talk to Olivia about the inspiration behind Deepblocks and how with her product, decisions that once took several weeks and tens of thousands of dollars can now be made in thirty seconds.
What attracted you to the property technology firm Deepblocks? I have this interest in startups. I was also drawn to the founder of the company, Olivia Ramos, her commitment and her intellect. She was really onto something.
Olivia Ramos is an entrepreneur, architect, and founder and CEO of Deepblocks, an artificial intelligence company that uses data to optimize real estate development.
Olivia Ramos of real estate financial analysis firm Deepblocks, will discuss how e-locks, blockchain and artificial intelligence are shaping the industry.
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- Ellie Bernstein
- Stephen Gans
- Avra Jain
- Arden Karson
- Xiaowei Li
- Michael Simkins
- Yi Ming Woo
- Ni Yan