Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers. If you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!
Wally is experienced in leading product for applied ML teams. Most recently, he led the Home Timeline team at Twitter- one of the world's largest ML recommendation systems. He also started the counterterrorism data and engineering team to build models for detecting harmful activity. Wally started Turntable after working on teams that were consistently slowed down by the creation of new metrics and data pipelines.
Justin most recently led the Commercial Data Science team at Cruise. Previously, he worked in a variety of data, strategy, & ops roles at Cruise and McKinsey.
Ian is a co-founder & CTO of Turntable. Ian has spent years as a tech lead where he led the development of some of Stripe's hosted UI products and the business ML platform at Pinterest. Previously, Ian worked on autonomous drone software at Latitude and was the founder of Hack Arizona, one of the largest collegiate hackathons in the US with over 1100 hackers attending annually.
TL,DR: Turntable is a collaborative tool to create and manage data pipelines- built from the ground up with AI. To start, we’re focused on reducing the time and cost of transforming data within DBT, an open-source data engineering platform. Check out our first drop, DBT copilot.
Despite being one of the most important parts of a modern business, data transformation tools are often hard to use, slow, and uninspiring. Data teams spend the majority of their time finding the right data, creating pipelines, and responding to ad-hoc requests. With the added issue that recruiting data talent is difficult, data pipelines quickly become a bottleneck for product development and business learning.
Our first product is a DBT copilot that allows DBT users to do in minutes what they previously could do in hours or days. Our copilot currently supports:
Watch a demo of the copilot here.
In the future, you’ll see us launch more features and integrations to make it easier to find and contextualize data within your analytics codebase and collaborate with your teammates.
We’ve all either worked on data teams or have been customers of data teams that have been blocked on data pipeline work:
Together, we started Turntable because we believe that generative AI has created an opening to build a new standard for data transformation tools.