PrivateML

Spend days, weeks or even months getting approval to use datasets for ML experimentation ...

Data Science teams require access to latest real (non-synthetic) datasets to build machine learning models.

But, Data Owners keep access to customer PII data restricted (for good reasons).

With Eyes Off, Data Scientists can train models without viewing individual records, remaining compliant with company’s policies.

Data Scientists get access to the schema, statistics, and metadata of datasets without direct access to the sensitive production data.

Data Scientists submit their machine learning tasks to a remote server that runs the computation for them, and returns the results.

Data Scientists experiment and progress with modeling, while the organization keeps its sensitive data 100% secure and private.

Data Scientists get access to the schema, statistics, and metadata of datasets without direct access to the sensitive production data.

Our software can be deployed anywhere, whether its on cloud or premise. We work, wherever your data resides.

You can use PrivateML in whatever interface you are comfortable with: Friendly UI, Jupyter Notebooks, API, or CLI.

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