Data utility meets data privacy — no compromises.

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Image of a man with glasses looking down at a laptop, lit by the light from the laptop screen.

Privacy-minded organizations work with Decentriq

Use in browser or via API
With or without coding

Securely connect your data
Without encryption skills

Fits your analysis workflow
Run code in Python, R, SQL

Super light setup
On Azure cloud infrastructure

Explore data clean rooms

For advertisingFor healthcare

Data privacy by design

With the latest advancements in encryption and Privacy Enhancing Technologies such as synthetic data, differential privacy, and Confidential Computing, your data stays under your control at all times.

Input Security

End-to-end encryption
Isolation
Remote attestation

User Experience

Strict access controls
Exploratory sandbox

Output Privacy

K-anonymity (aggression)
Synthetic data generation
Differential privacy

Input Security
End-to-end encryption
Isolation
Remote attestation
User Experience
Strict access controls
Exploratory sandbox
Output Privacy
K-anonymity (aggregation)
Synthetic data generation
Differential privacy

Request our technical whitepaper

Learn more

Privacy-minded organizations work with Decentriq

Data stays inaccessible

End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data.

Proof of data confidentiality

Remote attestation gives you verification that your data is encrypted and only approved analyses are running.

Learn more about Confidential Computing

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Built in partnership with market-leading hardware and infrastructure providers

Run complex analyses while data stays protected

Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge.

Screenshot of the Decentriq platform showing a dashboard of queries in python, SQL and R. Joining datasets and creating synthetic datasets are also highlighted, as well as the ability to run test queries on the data.

Scalability without privacy tradeoffs

With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection.

A chart showing the comparative processing speeds of various privacy-preserving computation methods. Assuming an unsecured computation runs at 100% speed, Decentriq provides 85% speed. Secure multiparty computation provides only 1% speed, and homomorphic encryption 0.1% speed.

Easy integration into your data pipelines

Our growing network of data connectors supports more streamlined workflows across leading data platforms.

Do more with sensitive data

We’re here to help you tackle your data collaboration challenges. Contact us today to learn more or schedule a demo.

Get in touch
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