ABOUT

Revolutionizing confidential computing with a secure, collaborative AI platform in Trusted Execution Environments

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Transforming AI deployment by securely extracting value from sensitive data

Opaque is the confidential AI platform unlocking sensitive data to securely accelerate AI into production. Created by world-renowned researchers at the Berkeley RISELab, Opaque’s user-friendly platform empowers organizations to run cloud-scale, general purpose AI workloads on encrypted data. Opaque supports popular languages and frameworks for AI, including Python and Spark, and enables governed data sharing with cryptographic verification of privacy and sovereignty. Opaque customers deploy high-performance AI faster and eliminate the tradeoff between innovation and security.

Our Story

Pioneering the first-ever confidential AI solution for multi-party and inter-company collaborative analytics.

Opaque was built by confidential computing pioneers hailing from UC Berkeley’s RISELab, the world-renowned lab developing technologies that enable applications to interact intelligently and securely with their environment in real time.

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RISELab has produced companies and projects like Databricks and Apache Spark. Together, Professor Ion Stoica (also founder and chairman of Databricks), Professor Raluca Ada Popa, Dr. Rishabh Poddar, Professor Wenting Zheng, and Chester Leung created, incubated, and open-sourced the breakthrough MC2 (Multiparty Collaboration and Competition) platform; MC2 enabled multiple data owners to perform joint analytics and ML model training on collective data without revealing their individual data to each other. Opaque’s platform was built on top of this open-source foundation, and the company was officially founded in 2021.