Gabe Bar, a seasoned Consultant and CTO/Board Member at DealEstate.Ai, with over 25 years of experience in real estate syndication. Having raised over $60 million, Gabe is an expert in navigating the syndication landscape. Passionate about AI and ML, he pioneers tech-driven solutions to enhance investor communication and maximize returns. Gabe holds an MBA in Finance and is committed to empowering investors through disruptive enterprise solutions.
Episode Highlights Here:
Gabe
So for real estate, it’s been for ages in the, in the outskirt, of deep tech. When right just recently, it was just, there’s more more news than that, but still not in a way that one can take and use the application to really enhance and scale the
Brett
game. So what’s the number one secret? To use AI to scale real estate syndications?
Gabe
I think you have to understand that AI is a buzzword right now. It’s being used all over the place, chat up and everybody’s, I think not everybody, but I would say a majority of the users are now using AI as part of their marketing strategies. But AI has a lot more to it. But it eventually relies on data, which allows them the amount of data that you were able to accumulate and build on the output because there’s no data, there’s no, there’s no output. So the secret in AI and machine learning and AI to you know, yeah, AI is the application of machine learning where were you have the ability to predict a certain outcome, the AI usage, the application for that is really determined on how good the data that we’re able to do, we’re able to mind. So for real estate, it’s been for ages, in, in, in the, in the outskirts of deep tech. When, right, just recently, it was just, there’s more and more in use in that but still not in a way that one can take and use the application to really enhance and scale the business. So we have done is realize that there’s a lot of friction points in the process, where, for instance, finding out the right investors, how do you know, if the investors there’s there’s a million investors out there? How do you find the right one, and actually, you might want to reach out and you know, there’s a greater likelihood for him to join in and participate in your deal. So there’s a lot of data points, a lot of frictions that will not address that throughout the process. And we’ve what we’ve done is we have said, okay, let’s, let’s understand what are the investors gonna look like? And what are the investors as part of their what’s their, you know, what’s the investment horizon? What’s their risk tolerance? How do we know that? So we developed like, like gamma fire solution, AI game solution, where, you know, based on 21 questions that we’re able to profile the investors and based on the profiling, then we use different different leveraging methods. And then we’re able to identify what asset classes the investors might be interested in or not only interested in how we should allocate to get the best results to get the optimized output for him as an investor is because any way you look at on the syndication process, the major stumbling block the major funnel that everybody’s struggling with is capital raising. So if you identify the high maximum friction point on the capital raising side and you eliminate some of this and actually you can make it more of a streamline you can streamline the process, then you know that the raising capital becomes more ease process and then real estate syndication opens opens up so anyone actually did with the right business mindset, could dive in and really take advantage of that.
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About Gabe Bar
Gabe Bar is a Consultant and a CTO/Board Member at DealEstate.Ai, a company that helps real estate entrepreneurs build, scale, and grow cash-flow-driven properties through syndications and technology. With over 25 years of experience in the syndication world and a proven track record of raising over $60 million, he has a deep understanding of the real estate syndication landscape and the dynamic demands of the market.
As an AI and ML enthusiast, he leverages technology to drive innovation and efficiency in the industry. He explored the intersection of deep tech and real estate syndication, seeking ways to streamline processes, enhance investor communication, and maximize returns. He has authored multiple articles that shed light on the transformative potential of AI, ML, and other emerging technologies in revolutionizing how we approach investments. He also designed and facilitated syndications for capital raising via crowdfunding for real estate and e-commerce rollups.
Gabe Bar is passionate about disruptive end-to-end enterprise solutions that empower investors and syndicators alike to make informed decisions, seize opportunities, and achieve their financial goals. He thrives on exploring innovative strategies, developing forward-thinking solutions, and sharing my knowledge and insights with professionals and industry enthusiasts. He holds an MBA in Finance and a Bachelor’s degree in International Economics from California State University-Dominguez Hills.
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