Numbers Station Founders on Applying Foundation Models to Data Wrangling

This week, Madrona Managing Director Tim Porter talks to Numbers Station Co-founders Chris Aberger and Ines Chami. We announced our investment in Numbers Station’s $17.5M Series A in March and are very excited about the work they’re doing with foundation models, which is very different than what has been making headlines this year. It isn’t content or image generation – Numbers Station is bringing the transformational power of AI inside of those foundation models to the data-wrangling problems we’ve all felt! You can't analyze data if the data is not prepared and transformed, which in the past has been a very manual process. With Numbers Station, the co-founders are hoping to reduce some of the bifurcation that exists between data engineers, data scientists, and data analysts, bridging the gaps in the analytics workflow! Chris and Ines talk about some of the challenges and solutions related to using foundation models in enterprise settings, the importance of having humans in the loop — and they share where the name Numbers Station came from. But, you’ll have to listen to learn that one! You can read a transcript of this conversation here: https://www.madrona.com/numbers-station/