Aquarium Learning

Acquired

We help ML teams improve their models by improving their datasets

San Francisco, United States · Founded 2020 · $2.6M raised

Employees
11–50
Founded
2020
Business Model
B2B
Total Funding
$2.6M
Last Round
$2.6M SeedFeb 2021
Rounds
1

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.

Summary

Aquarium Learning is an Artificial Intelligence company based in San Francisco, United States, founded in 2020. It has raised $2.6M in total across 1 round, most recently a $2.6M Seed round in Feb 2021. Investors include Sequoia Capital, Zero Prime Ventures and Y Combinator Continuity Fund.

Tech & App Stack

2 technologies & apps tracked

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Funding History

SeedFeb 2021
$2.6M

Investors

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