Cherre, the NYC-based real estate data and analytics platform, announced a new data partnership with DealStat, the real estate industry’s AI platform for extracting data from highly unstructured sources. This partnership will enable mutual customers to leverage AI to extract data from source documentation and PDFs, and integrate it into Cherre’s data platform. By capturing unstructured data, customers can pull static information into a structured data platform to run historical and trend analysis and make better decisions.
Read More: Strider Announces John Mullen, Former Assistant Director of CIA, Joins Company as Advisor
DealStat’s AI platform uniquely understands real estate industry language and document formats to extract key property metrics and other critical fields from static documents. The company’s software drives smarter, more efficient deal flow and reveals under-utilized data sets for innovative real estate teams.
“DealStat’s technology extracts valuable property data from the troves of documents held by our clients,” said Steve Regan, Founder and CEO of DealStat. “Our partnership with Cherre allows them to combine these data outputs with actionable context and insights from Cherre’s extensive knowledge graph. We’re excited for the opportunities this will reveal for our mutual clients.”
Read More: SIMON Markets LLC and Raymond James Launch New Strategic Partnership for Annuities
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.
Read More: M Financial Group Licenses FAST Software to Enable New Digital Ecosystem for Member Firms
