The Data Operations Platform for the Machine Learning Age
Automate your data operations so you can get to work
The Data Operations Platform for the Machine Learning Age
Automate your data operations so you can get to work
The Data Operations Platform for the Machine Learning Age
Automate your data operations so you can get to work

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Are you ready for the machine learning age?

Nexla can help if you answer “Yes” to any of these questions:

1

Would you rather spend more time using your data than working to access it?

2

Do you want to quickly and easily experiment with new data sources?

3

Have you used FTP, Dropbox, or Github to send data?

Up to 80% of today’s work in machine learning is spent preparing data for analysis. Reclaim your time with Nexla’s sophisticated data operations platform.

SAVE DEVELOPMENT TIME

Reduce or eliminate development time for data integrations and maintenance

ENABLE EASY EXPERIMENTATION

Increase the number of data sources available to your machine learning models

MANAGE TRANSFORMATIONS

Receive and send data in the format you need, automatically, so you can get to the real work

TRUSTED SECURITY

Have confidence your data is secure and compliant

Nexla_Data_Journey_2017
What is DataOps?

In hundreds of conversations with customers, investors, and other data professionals, we’ve found that everyone believes they have heard the term before, but isn’t quite sure what it means, exactly. When asked to describe DataOps, most people intuitively understood it had something to do with moving data to the right place in the right format. To move the conversation forward, we need a clear definition we can all use. At Nexla, we believe:

DataOps is the function within an organization that controls the data journey from source to value.

Team


Saket Saurabh

CEO, CO-FOUNDER

Rubicon Project / Mobsmith (acquired by Rubicon) / Nvidia / Wharton / IIT Kanpur

Jeff Williams

CTO, CO-FOUNDER

Rubicon Project / Mobsmith / Yahoo / Apple / UPenn

Contact Us

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Come work on solutions to the hardest problems facing machine learning and AI. Join a team of successful startup veterans to build a real-time platform for the next 180 zettabytes.