What we do

Turntable (YC W23) enables less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics stack without hiring more engineers.

The founding team has experience building data and ML products at Stripe, Pinterest, Twitter, and Cruise. Justin led the commercial data science team at Cruise, Ian built ML and data tools at Pinterest and Stripe, and Wally led product for Twitter’s largest ML team, the Home Timeline.

At all of these companies, we encountered the same problem: data pipelines are too hard to build and maintain. Often business stakeholders who know SQL can unblock themselves if only the tooling was better.

Our vision

The jobs of the last million data professionals will look different than the next million. Data is more vital to an organization than ever before but the majority of data tools are still too complex and hard to use.

We combine modern data warehousing technology, large language models and a delightful user experience to craft a category defining product.

We believe that if we are successful in our mission, we will change how organizations use data to develop products, run daily operations and plan for the future.