Multi-Party Collaborative Analytics and AI
Multiple data teams within or across organizations can collaborate in Opaque’s Platform to securely share encrypted data, perform collaborative analytics and ML on the collective data while encrypted, and ensure that each party is only privy to the data and insights that they are authorized to see. Opaque keeps data encrypted and secure throughout the data and analytics lifecycle.
Confidential Collaboration Process
Set up a consortium of participating teams or organizations and invite authorized users to the consortium
Establish confidential collaborative workspaces across teams
Set policies for data sharing, computation and collaborative analytics processing
Leverage Scala, SQL, and Python APIs provided by Spark
Run Opaque’s confidential SQL-based analytics on the data; perform statistical analysis; or manipulate data
Execute queries on encrypted data sets, join encrypted data sets, perform fuzzy join, train ML models and more, without ever exposing data across teams
Return encrypted results specific to each party leveraging REST API’s, CLI, cloud storage, cloud data platforms, databases
See Opaque in action. Request a demo to see Opaque’s secure multi-party analytics & AI and Data Clean Rooms for use cases across AdTech, Finance, Insurance, Healthcare and more.