Aquarium Learning B2B Case Studies & Customer Successes

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Aquarium Learning helps deep learning teams improve their model performance by improving their datasets. Aquarium Learning wants to give everyone the same world-class ML tooling that big companies already have access to. They want to enable domain experts to build and deploy models without specialized ML expertise, making it easier to build and improve real-world ML products.

Case Studies

Showing 2 Aquarium Learning Customer Success Stories

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Plus One Robotics achieves 25% F1 improvement and faster, scalable model iteration with Aquarium Learning

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Sterblue achieves 13% more accurate defect detection and 50% reduction in manual inspection time with Aquarium Learning

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