Exchanging sensitive data in embedded lending services

Category-leading fintech startup is able to increase the quality of leads by using loan performance data from lending partners, without compromising control and privacy.

Co-operating with competition towards AML and fraud-prevention

AI-driven fraud prevention startup is able to boost revenue of their clients by pooling in sensitive transaction data from multiple financial service providers, without exposing anyone’s IP and private data.

Personalised ads and marketing without violating privacy

Mar-tech company boosts lead quality and conversions for its clients without accessing first-party cookies and without violating any privacy guidelines as per GDPR, CCPA and other such global regulations.