Launching PrivateSQL: A Privacy Layer for Data Collaboration and Analytics
Our Mission
Empower organizations to unlock the value of data through cutting-edge technologies that safeguard privacy and confidentiality, enabling responsible and effective use of data.
PrivateSQL
Oasis PrivateSQL employs state-of-art differential privacy technology for aggregate queries on SQL databases. By introducing carefully calibrated noise into the results of statistical queries, PrivateSQL provides mathematical guarantees that the outcome of an analysis cannot be used to infer personal information.
Privacy-Preserving AI
Leveraging MPC, Homomorphic Encryption, Differential Privacy, and Zero-Knowledge Proofs to enable organizations to measure the efficacy of their AI models, including assessment of fairness and lack of bias.
Partner studies
Oasis PrivateSQL allows both internal teams and external partners to access and analyze user data while preserving privacy.
A first-of-its-kind initiative enabling inclusiveness and fairness for Meta’s AI models using cutting-edge privacy technologies.
A first-of-its-kind identity and Know Your Customer Solution for Web3, helping facilitate compliance, prevent fraud and build trust.
Latest posts
Oasis Labs Partners with Google Cloud to Pioneer Differential Privacy in Data Analytics and AI
PrivateSQL is now live on the Google Cloud Marketplace. PrivateSQL employs state-of-art differential privacy technology to enable the responsible use of sensitive data in AI and analytics.
Oasis Labs Partners with Meta to Assess Fairness for its AI Models using Cutting-edge Privacy Technologies
A first-of-its-kind initiative enabling inclusiveness and fairness
Driving Innovation with Differential Privacy
Oasis Labs launches an early-stage project with The BMW Group to build the next generation of data privacy technology.