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AI-native operating system for analytics teams
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!
Turntable is an AI-native operating system for analytics that provides a collaborative workspace to develop, deploy, and monitor data pipelines and reporting stacks. It combines a data IDE, AI-assisted guidance, and end-to-end visibility across the data stack to accelerate analytics work.
Turntable offers a collaborative data IDE for querying, documenting tables, and transforming data using dbt Core, SQLMesh, or plain SQL. It provides column-level lineage, automated cataloging, and up-to-date metadata. Features include multiplayer projects, a native AI assistant to manage DAGs and downstream BI changes, auto EDA and profiling, auto-generated documentation, model and dashboard generation, and end-to-end visibility with change detection, alerts, and data diffs across environments. It supports syncing sources, metrics, and dashboards, virtual data branches for transform changes, and quick setup (5 minutes) with a free 14-day trial and no credit card required.
Who it’s for: analytics teams, data engineers, data scientists, and business intelligence professionals seeking an AI-assisted platform to build, deploy, and monitor data pipelines and dashboards
mentions of early access, 14-day trial, Y Combinator backing, and a collaborative product with hundreds of data teams using the platform
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.
We help data teams find, contextualize and transform data
Turntable launches a collaborative AI-powered tool to create and manage data pipelines, starting with a DBT copilot that generates or modifies DBT code, writes schema and documentation, and prepares code for BI/visualization. The product targets data teams using DBT to reduce time and cost of data transformations within their analytics workflow.
From the original launch (Jan 2023) — may be outdated.
Formerly “Curious Data” · why startups rename →
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