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Aquarium Learning

We help ML teams improve their models by improving their datasets

Company

Locations
San Francisco, CA, USA / Remote
Team Size
12
Industries
B2B, Infrastructure
About
ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.

Founders

A list of all active founders
NameTitleEmail
Peter Gao
Founder
Quinn Johnson
Founder