Rubber Ducky Labs is a San Francisco–based startup building operational analytics for recommender systems. It does not build machine learning models; instead it plugs on top of companies' existing model data to help teams visualize, debug, and understand recommendations. The product is purpose-built to help analysts turn model data into actionable decisions and deployments. The company targets multiple recommender use cases, including e-commerce, streaming media, consumer marketplaces, and video games. Rubber Ducky Labs has raised $1.5 million in seed funding led by Bain Capital Ventures with participation from Cadenza Ventures and angel investors. Its near-term roadmap is to move from analytics into the operations side, tackling the business-logic layer on top of recommender systems.

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Jun 2023