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.
Led by CEO Peter Gao and head of engineering Quinn Johnson, Aquarium is advancing an ML data management platform that allows
users to improve their models by improving their datasets. In more details,
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. Labeling service integrations lets users send data out for correction.