AI-native operating system for analytics teams
Analytics teams struggle to scale data pipeline development because building and maintaining pipelines requires scarce engineering resources.
An AI-native analytics workspace/operating system that lets less technical analysts build and manage data pipelines without heavy engineering support.
Data and analytics teams at companies using or adopting modern data stacks (e.g., dbt, Airflow) who want analysts to self-serve pipeline creation.
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.



