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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Karlsgate
Karlsgate

Karlsgate

Founded by Brian Mullin & Marc Fanelli & Vivian Zhou in 2020

Protect and link sensitive data across workflows without exposing identities or raw records

You can use Karlsgate to match, share, and process sensitive records across organizations without revealing direct personal identities. It generates protected cryptonyms inside your local environment, ensuring raw identifiers never leave your custody. By using the Karlsgate Identity Exchange, your organization can conduct overlap analysis, connect customer data with external partners, and enforce strict data protection rules automatically. This allows teams to collaborate on audience analytics, evaluate partnerships, and support AI workflows without risking data breaches or non-compliance.

What Karlsgate does

Generate localized cryptonyms for personal identifier columnsPerform partner audience overlap analysis without physical data movementEnforce governance policies on outgoing data streams automaticallyDe-identify records before sending them to external AI systemsVerify match rates across disparate customer databases securelyReplace persistent user identifiers with single-use tokensLocal generation of cryptonyms to replace direct identifiers within your own environmentPrivate data matching across external partners without moving or sharing raw filesSingle-use value generation to eliminate persistent identifiers across external systemsAutomated data governance policy enforcement embedded directly inside data workflowsZero raw identifier transmission during cross-party overlap analysisProtected data processing environments preventing AI agents from reading raw identities

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Karlsgate, Karlsgate Identity Exchange, privacy enhancing technology, data connectivity, cryptonyms, identity resolution, data governance, de-identification, secure data collaboration, private data matching, overlap analysis, partner data sharing, data clean room alternative, compliance enforcement, data privacy