Duality

Founded by Dr. Alon Kaufman in 2016

Analyze sensitive cross-organizational data without decrypting, moving, or exposing confidential information

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Duality to run computations, queries, and machine learning models on sensitive data sets held across different organizations without moving or decrypting the underlying records. The system applies advanced cryptographic techniques, including fully homomorphic encryption and federated learning, to keep raw data secure during processing. Data owners maintain strict control and governance over their confidential assets while external teams extract necessary statistical insights. Teams in regulated fields like banking, healthcare, and government can safely collaborate across borders to detect fraud, conduct medical research, and train models.

What Duality does

Encrypt query parameters before sending requests to remote data partnersDistribute federated model weights across participant nodesAggregate encrypted partial computation outputs at a central hubPre-process distributed datasets for encrypted computationAudit privacy compliance logs for cross-organization data queriesConfigure permissions and access policies for collaborative analyticsExecutes encrypted queries against distributed databases without revealing search criteriaTrains machine learning models on partner data using federated learningApplies fully homomorphic encryption to keep data encrypted during computationHarmonizes structurally different datasets across separate enterprise networksSupports confidential computing inside trusted execution environmentsAggregates and anonymizes computation results before returning them to researchersProtects data residency and keeps raw records within local sovereign borders

Pricing breakdown

Pricing model: Book a demo

Frequently asked

AWS

Google Cloud

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