The Platform For ML Data Operations

Aquarium helps teams streamline the process of finding issues, validating fixes, and adding data for their machine learning datasets.

Bad data harms model performance. Easily find and fix data quality issues in a visual interface.
Make sure you're training and testing your model on clean data.

Find the most critical patterns of failures in your data and model performance.

Always prioritize the work that will improve your model the most.

Many problems in machine learning can be solved with collecting more data, but not all data is equal.

Collect data that gets you the most model improvement for the least labeling spend.

Integrate Aquarium into your existing ML stack with an intuitive Python Client API.
Set up automated workflows around your ML data operations.

Empower your data operations team to constantly find and fix problems with your dataset.

As your datasets get better, your models get better.

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The more data you have, the more value we offer. Aquarium reliably scales to datasets containing tens of millions of datapoints.

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Aquarium is SOC2 Type 2 certified. We also offer Anonymous Mode for organizations who want to use Aquarium without exposing any sensitive data.

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Aquarium offers solutions engineering resources, customer success syncs, and user training to help customers get to value.

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