Seamless Data Coordination

Dataset version control and coordination for ML teams.

Stack is as powerful as Git yet as simple as Google Sheets. 

Thanks for joining 🚀

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Before Stack

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After Stack

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Problem

ML teams are consistently analyzing the root cause of dataset issues.

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The analysis involves searching over old snapshots and backups of the dataset. 

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Teams resort to e-mail and slack to communicate changes to the data.

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This process costs data teams thousands of work hours every year.

Solution

Stack is a simple approach to version control and coordinate datasets.

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Our tool connects to cloud storage, versioning every change in the dataset.

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We track the author, date, and description of each change, along with a “diff”.

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Stack seamlessly gives you the story of your data.

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Product

Command-line and web interfaces.

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Connects to your storage and automatically tracks interaction with your data.

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Generated customizable data alerts for your team via e-mail.

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Indexes the history of the dataset, compares different versions and creates endpoints to stream data for model training.

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Agnostic to data source or schema and integrated with common cloud storage.

Stack Dataset - Activity health care use
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Our team

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Bernardo Aceituno
CEO.

MIT Ph.D. CS,

ex-Facebook and ex-founder.

  • LinkedIn
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Melissa McAneny
COO.

MIT MBA,

ex-SpaceX and ex-Tesla.

  • LinkedIn
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Antoni Rosinol
CTO.

MIT Ph.D. CS,

ex-NASA, ex-GoPro, and ex-founder.

  • LinkedIn