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   * * * THE OPAQUE PLATFORM
         
         Opaque’s Confidential AI and Analytics Platform makes confidential data
         usable by enabling secure multi-party analytics and machine learning
         directly on encrypted data within enclaves and enables data clean
         rooms.
       
       * Platform Overview
     
     * * Collaborative Analytics & AI  
         
         Perform collaborative analytics and ML on secured data and ensure that
         each party is only privy to their data and authorized insights.
       
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         Enable multiple data owners to securely pool their encrypted data
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CONFIDENTIAL DATA

No exposure. No compromise on insights. No complexity.

Your organization’s sensitive data needs to be heavily protected and encrypted.
But can your teams securely access, share, and analyze your confidential data?
Opaque’s Data Clean Rooms enable secure collaboration and analytics on
confidential data powered by our Confidential Computing technology.

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Opaque Unveils Data Clean Rooms, Privacy-preserving Generative AI, and
Advancements in Multi-party Confidential Analytics

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Why Opaque for Secure Collaborative Analytics and Data Clean Rooms?

SECURELY SHARE & COLLABORATE

Multiple data teams within and across organizations can collaborate to securely
share encrypted data, perform collaborative analytics and ML on data while
encrypted and enforce data and computation policies. Each party is privy only to
their specific data and insights.

PROTECT DATA END-TO-END

The Opaque Platform encrypts and protects data at rest, in transit, and during
processing. It maintains data encryption during computation, enabling
collaborative analytics and AI while keeping data secure.

SIMPLIFY ANALYTICS & AI

Opaque enables organizations to encrypt confidential data on-premises, speed
moving sensitive data to Confidential Computing clouds and run scalable
analytics and ML directly on encrypted data. No data is exposed during the
lifecycle of the computation.

MEET REGULATORY REQUIREMENTS

Compliance with privacy laws can result in a decline in data quality in an
analysis as certain fields cannot be revealed (e.g. PII data). Opaque provides
policy enforcement capabilities for datasets, computation and analytics,
enabling secure multi-party analytics and AI.

DATA PRIVACY AND PRIVACY-PRESERVING LLMS. SEE HOW TO PROTECT YOUR DATA.



ACCENTURE’S CLOUD-FIRST CTO SPEAKS TO OPAQUE’S DATA CLEAN ROOM SOLUTION.
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THE OPAQUE PLATFORM

Multi-Party Analytics and AI

Your organization’s sensitive data needs to be heavily protected and encrypted.
But can your teams securely access, share, and analyze your confidential data?
From confidential computing to data clean rooms the Opaque Platform enables
secure access, sharing and analytics on confidential data.

Secure Data Sharing

With Opaque, teams or multiple organizations can securely share encrypted data
without exposing the underlying data. Opaque’s policy enforcement enables each
data owner to fully control how the data is used in an analysis.

Multi-Level Policy Enforcement

Opaque ensures data privacy with policy enforcement capabilities for inter- and
intra-company analytics and AI, including how data is securely shared,
analytics, and the resulting insights.

Data Encryption Through the Lifecycle

Opaque protects all sensitive data using advanced encryption throughout the
lifecycle of the analytics or ML computation—from data upload to executing
queries, running ML models, to protection of insights.

Scalable Orchestration

Opaque provides distributed confidential data processing across managed clusters
of VMs featuring Trusted Execution Environments (TEEs) and automates cluster
management with secure inter-cluster communication and orchestration.



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.

Chief Risk Officer Scotiabank

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.

Chief Risk Officer Scotiabank

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.

Chief Risk Officer Scotiabank
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SOLUTIONS

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MANUFACTURING

USE CASES

FINANCE

USE CASES

HEALTHCARE

USE CASES

ADTECH

USE CASES

INSURANCE

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OTHER INDUSTRIES


Collaborate without compromise.

See Opaque in action. Request a demo to see Opaque’s secure multi-party
analytics & AI and Data Clean Rooms for use cases across AdTech, Finance,
Insurance, Healthcare and more.

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