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AI Powered Product Discovery
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.
Rubber Ducky Labs is an AI-powered tool for e-commerce product discovery that helps non-technical users enhance metadata by applying multi-modal AI to product catalogs. Users upload a CSV and start tagging metadata to improve search, recommendations, marketing, and SEO.
The web app guides users through setting up AI labeling tasks to generate accurate product metadata quickly. It enables tagging across items in a catalog via multi-modal AI, leveraging image and text understanding to expand keyword coverage, generate recommendations, and support various experiences (search, recommendations, marketing, SEO). The process appears to start with uploading a CSV and then tagging metadata to produce richer, actionable product data.
Who it’s for: E-commerce teams and product teams seeking to improve product discovery and metadata quality without heavy technical effort.
Hiring/team background and presence of design partners; blog activity and demo requests indicate early traction and ongoing development
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.
Rubber Ducky Labs builds better recommender systems with machine learning plus human expertise
rubber Ducky Labs provides a hosted web app that connects to a data warehouse to help fashion-focused e-commerce teams understand and improve recommender systems by combining machine learning with human expertise; the launch highlights visual data exploration, drill-downs to item/user journeys, model comparisons, and production-focused workflows for domain experts.
From the original launch (Feb 2023) — may be outdated.
Formerly “Rubber Ducky Labs”, “Inc.”
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