Cherre and Upsuite Announce Partnership to Integrate Coworking and Flex Office Data into Real Estate Data Platform

Cherre and Upsuite Announce Partnership to Integrate Coworking and Flex Office Data into Real Estate Data Platform

 Cherre, the NYC-based real estate data and analytics platform, announced a new data partnership with Upsuite, a leading provider of coworking and flexible office space data. As part of this partnership, Upsuite will join Cherre’s growing Data Partner Network, making it possible for mutual customers to easily incorporate Upsuite’s data into Cherre’s platform to derive actionable insights for strategic decision making.

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As the leading provider of coworking and flexible office data, Upsuite tracks demand, supply, pricing fluctuations for hundreds of separate providers in thousands of locations. Upsuite provides access to the largest, most thoroughly researched and constantly updated coworking and flexible office inventory. Occupiers, coworking operators, property owners, and investors all rely on Upsutie’s data to optimize their real estate, businesses, and investments in CRE’s newest asset class.

“Coworking and flexible Office is one of the most dynamic asset classes in commercial real estate right now, and we think Cherre is the right partner to help institutional owners, investors, and other stakeholders see the past, present and future of this asset class,” said Ben Wright, Founder and CEO of Upsuite.

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Cherre seamlessly connects disparate real estate data into a single-source of truth, empowering companies to instantly explore all their connected data. Cherre has the largest real estate knowledge graph in the world and enables customers to uncover granular insights, automate workflows, and build models and visualizations.

“Property owners need comprehensive data to make more informed investment and business decisions,” said L.D. Salmanson, CEO and Co-Founder of Cherre. “Analyzing coworking and flex space data alongside other connected data sources will enable better trend and market analysis for decision making.”

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