The technology and data integration provides customers in regulated industries access to leverage Sayari’s extensive world-wide beneficial ownership and financial intelligence data without increasing organizational risk or requiring sensitive data to be moved or replicated. The collaboration unlocks value by enabling data to be used in ways that were not previously possible for sensitive business and mission applications.
“We’re excited to be working with Enveil to provide this first-of-its-kind, technology-powered access, broadening the value we deliver to customers with sensitive mission sets,” said Farley Mesko, CEO of Sayari.
Leveraging advances in homomorphic encryption, a pillar of the increasingly critical Privacy Enhancing Technologies (PETs) category, Enveil’s privacy-preserving ZeroReveal capabilities change the data value paradigm by ensuring the content of every search performed, along with its associated results, remains encrypted during processing. By enabling organizations to search Sayari’s extensive data holdings without ever exposing their interests or intent, the partnership expands the ways sensitive and regulated data can be used.
“Working with Sayari allows our customers to seamlessly access these rich data holdings without compromising their business or mission objectives,” said Ellison Anne Williams, Founder and CEO of Enveil. “Privacy Enhancing Technologies are revolutionizing data access and usage and working directly with leading data and intelligence platforms like Sayari allows us to deliver that value broadly and efficiently.”
With applicability in industries including financial services and government, Sayari provides instant access to structured business information on over 401 million companies and 462 million of their key people in nearly 200 countries worldwide. These holdings power intelligence tools like Sayari Graph, enabling users to quickly navigate complex, cross-border corporate structures with network visualizations powered by custom graph-based matching and entity resolution models.