NEW YORK--(BUSINESS WIRE)--Haystacks.AI, a data aggregation and intelligence platform for real estate investors, has successfully piloted its 1031 exchange solution to execute a Single Family Rental (SFR) portfolio trade for client Rayn Capital. Using the Haystacks.AI platform, the Massachusetts-based family office was able to successfully create a tailored buybox, with which the platform surfaced over $20 million of single-family rental assets in targeted micro-markets that exceeded its return objectives in less than 24 hours.
Haystacks.AI’s machine learning algorithm and industry-leading alternative SFR data was used to identify currently underpriced micro-markets, given future growth prospects at a zip code level. Haystacks.AI’s ability to continuously surface data-based growth markets creates accessibility to the SFR market, presenting an opportunity for real estate investors to confidently place capital in a de-risked and diversified portfolio. Once plugged into the Haystacks.AI platform, clients can grow this portfolio with unprecedented ease and certainty.
“Current market volatility has disrupted transactions and the Haystacks platform has been able to provide a unique solution to owners with time-sensitive transactional needs,” said Brendan Joyce, President of Haystacks. AI. “This is just one of the many examples of how our platform has been increasingly used by clients as market volatility continues.”
Haystacks.AI’s SFR plug-and-play investment solution facilitates a de-risked, yield-generating group of assets that will see an increase of liquidity options given growing institutional interest in the asset class. The platform can identify available single-family homes in major metropolitan areas across the country, with the infrastructure in place to purchase, renovate, and rent these homes immediately. “Barriers to entry for crafting and executing portfolio trades in the SFR sector are steep, especially for family office investors,” said Bhaskar Ray, Managing Partner of Rayn Capital. “Haystacks’ access to alternative data and speed of portfolio creation has generated much better projected returns than otherwise possible.”
Recent research has indicated that institutional penetration of the SFR market will increase from less than 10% to over 40% of overall stock by 2030, due to short apartment supply, reduced homeownership, and increased interest in renting larger housing spaces. The Haystacks.AI platform provides enhanced transparency in pricing, performance, and future trends at a granular, micro-market basis.
“Haystacks.AI’s motley crew of data scientists and engineers have–in a very short span of time–built out what we believe is the most comprehensive alternative dataset in the SFR market. Given the breadth of our nationwide data coverage, and our ability to represent the insights in a meaningful and actionable way through advanced mapping tools, we have positioned ourselves to be a market leader in this space,” said Pulkit Jaiswal, Co-Founder of Haystacks.AI.
To learn more about Haystacks.AI, please visit: https://haystacks.ai/
Haystacks.AI is a platform that utilizes AI and ML to collect and analyze massive amounts of data to provide enhanced insights for fund managers, developers, and real estate investors. Our innovative technology allows for more accurate projections of key real estate metrics by uniquely layering alternative data on top of primary real estate data. The Haystacks.AI team has created a best-in-class automated underwriting tool to efficiently source, acquire, and manage SFR properties. Haystacks.AI was founded in January 2021 and is backed by Streamlined Ventures, RRE Ventures, Colle Capital, Assurant Ventures, Adit Ventures (Genesis Fund), Preface Ventures, Hyperplane Venture Capital, and leading industry executives.