Aquarium Learning (YC S20) — We help ML teams improve their models by improving their datasets
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.
Aquarium Learning is a Y Combinator company in the Summer 2020 batch. Its directory entry describes it as: We help ML teams improve their models by improving their datasets. The founders listed are Peter Gao (Founder), Quinn Johnson (Founder) (Y Combinator directory entry, August 11, 2020).
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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.
Peter Gao
Founder
Quinn Johnson
Founder
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
One of 338 companies held here in B2B › Infrastructure.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
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Example from a real report (our sample on Target): “The Q2 2026 earnings report, published August 19, 2026, showed adjusted EPS of $2.46 against an expected $2.33” Source: CNBC
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Aquarium Learning (YC S20) — We help ML teams improve their models by improving their datasets. MentionFox, 2026-10-20. https://mentionfox.com/funding/yc-aquarium-learning
