The Confidential Computing Platform for Collaborative Analytics and AI

Confidential Computing protects data by performing computations in hardware-based Trusted Execution Environments, but running analytics and sharing data between parties has been a major challenge for organizations.
Opaque is the first confidential computing platform that enables secure data sharing, multi-party analytics and machine learning on encrypted data.

Opaque Announces $22M Series A

The Confidential
Computing Platform
for Collaborative
Analytics and AI at Scale

Confidential Computing protects data by performing computations in a hardware-based Trusted Execution Environment but running analytics and sharing data between parties has been a major challenge for organizations
Opaque is the first confidential computing platform that enables secure data sharing, multi-party analytics and machine learning on encrypted data.

News

Opaque brings collaborative analytics to confidential computing…

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Webinar

Azure + Opaque confidential computing on-demand webinar series

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Awards

Opaque’s Founder Receives the ACM 
Grace Murray Hopper Award

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The Opaque Platform

Encrypt data from sources into Trusted Execution Environments

Execute analytics and ML at scale on encrypted data

Securely collaborate within and across organizational boundaries

Opaque was founded by the inventors of the open source project MC2, which leverages secure
hardware enclaves and cryptographic fortification for secure, fast and scalable analytics.
The technology is leveraged by organizations globally.

“Strict privacy regulations result in sensitive data being difficult to access and analyze. New secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights.”

Dr. Volkmar Scharf-Katz

Data Science Leader at a top US bank

“The ability to put together our data sets and collaborate on typologies of attack—and the use of both advanced-encryption methods and analytics methods to mine the data—will enhance yields by orders of magnitude.”


Scotia Bank Chief Risk Officer
McKinsey & Company Risk & Resilience Insights

The Collaborative Analytics and AI Platform
for Confidential Computing

Multi-tiered
Security

Leverage multiple layers of security designed to enable secure data sharing and processing across enclave clusters and confidential VMs between teams while ensuring compliance.

Frictionless
Analytics and AI

Run scalable analytics and AI using familiar tools like SparkSQL and popular ML frameworks. Leverage existing skill sets and the ease of use of notebooks.

Secure
Collaboration

Securely share data from diverse sources and run collaborative analytics and ML on encrypted data within and across organizations. Govern data access and set confidentiality policies.

Multi-dimensional
Scaling

Enable multiple teams to analyze shared data and easily scale across clusters of enclaves while executing high-performance processing on encrypted data.

The Collaborative Analytics and AI Platform
for Confidential Computing

Multi-tiered
Security

Leverage multiple layers of security designed to enable secure data sharing and processing across enclave clusters and confidential VMs between teams while ensuring compliance.

Frictionless
Analytics and AI

Run scalable analytics and AI using familiar tools like SparkSQL and popular ML frameworks. Leverage existing skill sets and the ease of use of notebooks.

Secure
Collaboration

Securely share data from diverse sources and run collaborative analytics and ML on encrypted data within and across organizations. Govern data access and set confidentiality policies.

Multi-dimensional
Scaling

Enable multiple teams to analyze shared data and easily scale across clusters of enclaves while executing high-performance processing on encrypted data.

The Analytics and AI Challenge
in Confidential Computing

Today’s hurdle in confidential computing is enabling secure scalable analytics and
machine learning on encrypted data and opening confidential computing to
multi-party analytics. The Opaque Platform uniquely addresses the challenge.

The Analytics and AI Challenge
in Confidential Computing

Today’s hurdle in confidential computing is enabling secure scalable analytics and
machine learning on encrypted data and opening confidential computing to
multi-party analytics. The Opaque Platform uniquely addresses the challenge.


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the white paper


Request
a demo


Contact Us
to learn more

Have a question about our products? Want to talk about enclaves or cryptography?
Reach out here.

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