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What is OPAQUE?

OPAQUE Systems pioneers a confidential AI platform that empowers enterprises to run advanced AI, analytics, and machine learning workflows directly on their most sensitive and regulated data without risking exposure or compliance violations. Leveraging confidential computing technology, hardware roots of trust, and cryptographic verification, OPAQUE ensures every AI operation is executed within secure enclaves that maintain data privacy and sovereignty at all times. The platform integrates effortlessly via APIs, notebooks, and no-code tools, allowing companies to extend their AI stacks without costly infrastructure overhaul or retraining. Its innovative confidential agents and turnkey retrieval-augmented generation (RAG) workflows accelerate AI project timelines by enabling pre-verified, policy-enforced, and fully auditable workflows. OPAQUE provides real-time governance through tamper-proof logs and CPU/GPU attestation, enabling verifiable compliance across complex regulatory environments. By eliminating burdensome manual processes such as data anonymization and access approvals, the platform reduces operational overhead and shortens AI time-to-value by up to five times. Financial institutions like Ant Financial have unlocked previously inaccessible data to significantly improve credit risk models and predictive analytics using OPAQUE’s secure platform. OPAQUE actively participates in advancing confidential AI through industry partnerships, thought leadership, and contributions to key events like the Confidential Computing Summit. The platform supports popular languages and frameworks including Python and Spark, ensuring compatibility with modern AI development workflows. Ultimately, OPAQUE balances uncompromising security with the agility enterprises need to innovate confidently in the AI era.

What is Deasie?

Creating successful models hinges on the availability of top-notch data. At present, more than 80% of this data exists in unstructured forms, including documents, reports, text, and images. For language models, it is critical to identify which portions of this data are relevant, outdated, inconsistent, or sensitive. Overlooking this important phase can lead to the deployment of artificial intelligence that is both unsafe and unreliable. Therefore, meticulous data curation is essential not only for the effectiveness of AI applications but also for building trust among users. This process ultimately supports the responsible advancement of technology in various sectors.

Media

Media

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Databricks
Google Cloud Platform
Microsoft Azure
Salesforce
Workday HCM

Integrations Supported

Box
Claude
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Microsoft SharePoint
OpenAI

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

OPAQUE Systems

Date Founded

2019

Company Location

United States

Company Website

opaque.co

Company Facts

Organization Name

Deasie

Company Website

deasie.com

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Automation

Not specified

AI/ML Model Training

Not specified

Confidential AI

Not specified

Data Analysis

Not specified

Data Governance

Not specified

Data Security

Not specified

Encryption

Not specified

Security Analytics

Not specified

Categories and Features

Data Governance

Not specified

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