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We built Rubber Ducky Labs to help e-commerce teams effortlessly improve product discovery through better metadata. Our tool enables non-technical users to leverage multi-modal AI on product catalogs—just upload a CSV and start tagging metadata in minutes.
Previously Rubber Ducky Labs, Inc.
Alexandra (née Johnson) has spent eight years in the ML tooling industry (starting with a 4-year stint as the first software engineer at @SigOpt) to help make the state of the art in machine learning effortless and easy to use. Before that, she worked on recommender systems in fashion tech. She founded Rubber Ducky Labs to be the suite of dream tools that she wished she had while working on recommender systems.
Georgia got her degree in software engineering from the University of Waterloo, during which time she completed six internships including Datadog, Cockroach Labs, Instagram and SigOpt. After graduation, she worked on Security and ML Infra at Meta.
Founded 2022 · Source
Source-based assessment · automated evidence rules
The source reports an inactive or acquired company; current product identity needs review.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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