
Closing the Data Chasm: Automate Your Way to Insights
Aggregate disparate data at scale, reliably and accurately, to make better business decisions with Switchboard - a data engineering automation platform driven by business teams.

Real-time data to drive analytics
Uncover timely insights and accurate forecasts. No more outdated manual reports and error-prone pivot tables that don’t scale.
Improved data engineering productivity
Directly pull and reconfigure data sources in the right formats in a no-code environment. Reduce your dependency on the engineering team.
Economies of scale and uptime with data
Never miss a beat. Automatic monitoring and backfilling make API outages, bad schemas, and missing data a thing of the past.
Discover new data capabilities for sharper business insights

Trusted by leading digital companies
















“Today, Dotdash Meredith can extract unique revenue insights from over 40 brands and 20 partners, without burdening our BI team. Switchboard enables our analysts to aggregate, normalize, and apply complex business logic to hundreds of disparate data sources at once.”
Rich Zeroth, VP Programmatic Monetization, Dotdash Meredith
Bringing you the Switchboard difference

Transform any type of data
Not a dumb API, but an ecosystem of pre-built connectors that are easily and quickly adapted to actively transform raw data into a strategic asset.

Built to scale with you
A data engineering automation platform with authoring and workflow process proven to scale with terabytes of data. No-code environment frees your team to be agile and iterative, while enforcing good data governance.

Domain knowledge in data modeling
Our team of experts have worked in data teams at Google and Facebook. We’ve automated those best practices to elevate your data game.

Fast deployment, faster response
Partner with our dedicated Customer Success / ‘fractional engineering’ team with expert-level knowledge in analysis. Be up and running in weeks and access on-going training on how to get the most from your data.