Location
Year Founded
2020
Company Size
11 - 50 People
Hiring
About Aquarium Learning
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.
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.
Latest Jobs
Founders & Key People
Financials Beta
Business Model: Not Specified
Revenues: Not Specified
Expenses: Not Specified
Debt: Request
Operating Status: Active
Funding Raised: $0
Investment Rounds: 0 Rounds
Funding Stage: Not Specified
Last Funding Date: Not Specified
