[maximeago]

The product solves the problem of the time it takes to access sensitive data for analytics and machine learning. When you work in a large healthcare or financial organization, each dataset is highly protected. Each time a data practitioner needs to work on it, they may have to wait for months for compliance processes to opine on a data masking strategy and engineering teams to prepare a data lab and implement this strategy. With Sarus, data practitioner no longer need to access data to do analytics or machine learning on sensitive data assets.

When internal access to personal data is not a concern within an organization, data sharing with external partners certainly is. This process can be avoided just the same.

Hence the promise of taking time-to-data form months to minutes.

Hope that helps clarify.

[XCSme]

Thanks, this makes it a lot more clear!

Maybe the hero text could be more clear, explaining in summary what it does (similar to this comment). "Get instant access to sensitive data for analytics and machine learning."

[maximeago]

That's a great suggestion actually! We'll definitely work on it and thanks for your help.