Run high-performance SQL-like encrypted queries in a privacy-preserving manner.
Securely leverage collaborative machine learning and analytics using encrypted data and models.
The Duality privacy-preserving data collaboration platform leverages cryptographic methodologies that enhance several Privacy Enhancing Technologies (PETs).
Securely share insights by performing privacy-preserving queries on decentralized data sets.
Duality uses the leading open source for fully homomorphic encryption (AKA FHE)
Secure data collaboration and analysis on your terms: any computation, any environment, any geography.
Built-in data management capabilities running in a secured environment such as schema alignment, data transformation, feature engineering, normalization, fuzzy matching and more.
Built-in tools for aligning schemas, transforming data, and pre-processing for multiparty collaboration.
Easy setup for building collaboration networks. Full control and governance on data and models.
Harnesses the power of multiple Privacy Enhancing Technologies (PETs) to run secure ML, analytics, and query computations. Utilize HE, MPC, FL & TEE and more without needing to be a cryptographer or privacy engineer.
Utilize the latest advances in cryptography and data science to compute on real-world data and provide insights quickly, instead of waiting for weeks or months.
Seamlessly integrates with your data assets, software infrastructure, and existing workflows using the Duality SDK, REST API, and integration with leading databases and warehouses.
Provides complete support for the data science lifecycle. From data ingestion and support for Exploratory Data Analysis (EDA), through schema alignment, pre-processing, and data preparation, to performing analysis on the data – all provided in a single platform.
Duality operationalizes Privacy Enhancing Technologies (PETs) – empowering organizations to share and analyze encrypted data.
Maximize the value of sensitive, regulated, or confidential data.