product

The Privacy Layer for Analytics & AI

As a layer between the data and the analysts, the Sarus solution allows to create value from day one while meeting the highest level of security.
How it works

A Privacy Layer for Analytics & AI

With Sarus, analysts work on data without ever seeing it.

The application runs in front of the data source. Authorized analysts manipulate the remote data any way they want. They submit any query or complex data processing code.

Each time they ask for a result, the application checks the privacy policy and enforces universal privacy guarantees on the fly so that data remains protected throughout the analysis.
HOW TO USE SARUS

Unlock data value in minutes

1. Deploy

Sarus deploys in minutes on-premises or in your public cloud using Docker or Kubernetes.

2. Connect data

Connect Sarus to your data source and select the tables for which you want to allow safe querying (see supported sources).

3. Grant access

Grant query access rights to data consumers and define the level of privacy protection for any query they submit in just a few clicks (read more on Privacy Policies).

4. Query

Analysts can immediately query the data with their favorite tools (SQL, pandas, sklearn..). Query is automatically rewritten with privacy guarantees and highest accuracy permitted is provided (see detail on Query Rewriting)

Key features

Sarus combines a unique set of features
to streamline and secure all your Analytics and AI projects with the minimum of friction.

Connectors

Learn more

Privacy Policies

Learn more

Audit Logging

Learn more

Synthetic Data

Learn more

Analytics & BI

Learn more

Machine Learning

Learn more

Action Upon Data

Learn more

Ready?

Ready to unlock the value of your data? We can set you up in no time.
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Shell

For all data infrastructures

Sarus deploys in minutes on-premises or in your public cloud
using Docker or Kubernetes.

Azure

AWS

GCP

On premise

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