RESAAS Announces Strategic Partnership with SAP to Enable Real-Time Enterprise Intelligence for Global Real Estate
Connects RESAAS' real-time real estate data with SAP's enterprise AI and business intelligence platforms used by the world's largest organizations
Through this partnership, RESAAS will integrate its real-time, transaction-level and relationship data directly into SAP environments, allowing multinational real estate firms, brokerages, and institutional operators to leverage RESAAS insights alongside SAP data for advanced analytics, predictive modeling, and AI-driven decision making. The integration supports SAP platforms commonly used for enterprise reporting, financial planning, and operational intelligence.
"RESAAS has become the system of record for real-time referral, transaction, and payment data in real estate," said
RESAAS has seen accelerating adoption from large-scale, multinational real estate organizations in 2025, with a growing number of new customers operating across multiple continents and markets. These organizations typically rely on SAP to power enterprise-wide reporting, forecasting, and data-driven decision making, making real-time access to structured real estate data increasingly critical.
"Real estate organizations are demanding real-time visibility into performance, productivity, and deal flow across regions and teams," Rossiter added. "This partnership allows our customers to combine the depth of SAP's enterprise intelligence capabilities with the immediacy and accuracy of RESAAS' real-time real estate data, something that has not been possible at this level before."
RESAAS expects the SAP integration to support expanded enterprise deployments throughout 2026 and beyond, particularly among global real estate firms seeking unified, real-time insight across referral activity, transaction pipelines, and cross-border collaboration.
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RESAAS is an award-winning technology company serving the Global Residential and Commercial Real Estate Industry.
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The statements made in this news release may contain forward-looking statements that may involve a number of risks and uncertainties. Actual events or results could differ materially from
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