Generating and indexing high-quality embeddings can be challenging and costly without the right infrastructure. Aquarium provides an end-to-end solution for embedding generation, processing, and querying.
Aquarium automatically surfaces the most critical errors in your model performance and provides a visual user interface for users to inspect and collaborate on the best course of action to solve these errors.
ML teams can easily collect more examples of specific objects or scenarios across large pools of labeled and unlabeled data, making it easier to find the right subset of data to collect and improve their models.
The more data you have, the more value we offer. Aquarium reliably scales to datasets containing hundreds of millions of datapoints.
Aquarium is SOC2 Type 2 certified. We also offer Anonymous Mode for organizations who want to use Aquarium without exposing any sensitive data.
Aquarium offers solutions engineering resources, customer success syncs, and user training to help customers get to value.