The strategic partnership is designed to allow DWS to build on its extensive real estate investment management experience using Skyline AI’s technology
DWS Group announced that it has entered into a strategic partnership with and has become a minority shareholder in Skyline AI, a real estate asset management technology company. Skyline AI uses proprietary artificial intelligence (AI) to source, analyze, acquire, manage and sell institutional-grade real estate investment opportunities throughout the United States.
Using structured and unstructured machine learning models, Skyline AI’s technology is designed to enhance the investment process for real estate investments. The strategic partnership is designed to allow DWS to build on its 45 years of expertise in the real estate investment management space through the machine learning capabilities of Skyline AI. In addition, DWS’s real estate research team and Skyline AI’s data scientists will collaborate to further develop Skyline AI’s proprietary technology.
“This is another step in our strategy to leverage DWS product capabilities to support our clients and make investments where we see opportunities to create value,” Pierre Cherki, DWS Board member and Co-Head of the Investment Group at DWS, said. “Collaborating with an early stage company that uses AI to bolster efficiency and enhance the real estate investment process supports our overall aim of pursuing value for our clients through comprehensive and innovative investment strategies.”
Guy Zipori, Co-founder and CEO of Skyline AI, said: “We are thrilled to be collaborating with DWS. Their expertise and long-standing real estate investment operations create a good climate for our technology to thrive. The commercial real estate market is on the cusp of a seismic change, and those who are agile enough to adopt new strategies and technologies are going to shape the new economic reality. As one of the largest players in the industry, DWS has the innovative spirit to lead the market in the adoption of advanced technology.”