- Aquarium, a San Francisco, CA-based machine learning data management startup, raised $2.6m in seed funding
- The round was led by Sequoia Capital with participation from Y Combinator and a angels including Cruise co-founders Kyle Vogt and Dan Kan
- The company intends to use the funds to continue to expand operations and its business reach, as well as to augment their development efforts
- Aquarium is advancing an ML data management platform that also allows users to improve their models by improving their datasets
- The company’s Python client API makes it easy to upload data, labels, and model inferences
- Userc can visualize their dataset and model performance, uncover corrupted data and difficult edge cases
