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Duality 
Analytics & Machine Learning

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Leverage collaborative machine learning and analytics using encrypted data and models.

Duality Analytics and Machine Learning provides a collaborative analytics application which enables organizations to compute with pooled or decentralized data without revealing sensitive information, PII or IP.

With Duality, organizations in any industry can utilize a variety of data science, statistics, and machine learning models while ensuring privacy throughout the analytics lifecycle. Companies can choose to work with encrypted data or encrypted models; run analytics or train and tune models; easily configure and control which data and models are used and ensure that every party remains in control of their owned assets, no matter in which environment they are computing.

Duality Analytics and Machine Learning

Secure collaboration on your terms: any computation
any environment, across your network

Secure collaboration on your terms: any computation any environment, across your network

Decentralized Data
Analysis

Deploy encrypted models on third-party or extraterritorial data sets to gain insights without moving any data, and while protecting model IP.

Aggregated Data
Analysis

Leverage single or combined encrypted data sets for model tuning, training, and a variety of analytics, without exposing sensitive data.

Highlights

Securely generate insights
by deploying encrypted models
or analyzing encrypted data

Analyze large-scale data sets
and get answers within seconds

Deploy statistics and models built
on a variety of ML algorithms, such
as regression and decision trees

Deploy statistics and models
 built on a variety of ML
algorithms, such as regression
and decision trees

End-to-end control for your
collaboration projects – including
roles, data, and models deployed

End-to-end control
 for your collaboration projects –
including roles, data,
and models deployed

Ensure compliance with industry
and privacy regulations – including
GDPR, CCPA, HIPAA, and more

Ensure compliance
 with industry and privacy regulations – including GDPR, CCPA, HIPAA,
and more

Use Cases

Model Training, Testing and Validation

Improve AI/ML model performance by training, tuning and validating AI and ML models on encrypted data.

Cross-Border Data Analysis

Optimize efficiency by working collaboratively across borders while meeting data privacy and residency requirements.

Medical Multi-Center Studies

Analyze sensitive medical data across centers to gain deeper insights to speed research and discovery.

Data Enrichment
and Analysis

Access new high-value data sets in a privacy-protected and compliant manner.

Secure Transitioning
to the Cloud

Protect sensitive data and models while transitioning AI workloads to the cloud.

Leveraging
Third-Party Analytics

Apply third-party analytics and ML models to your sensitive data without exposing it.

Co-Marketing
and Personalization

Deliver personalized customer experiences and upsell with partners while preserving privacy.

Data
Monetization

Create new revenue sources from sensitive data while preserving privacy and regulatory compliance.

Experience secure collaborative computing today.

Maximize the value of sensitive, regulated, or confidential data.
Request a Demo

Experience secure collaborative computing today.

Maximize the value of sensitive, regulated, or confidential data.
Request a Demo
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