"Snowpilot lets non-technical users join any data together. So you can get insights quickly without a data engineer."
TL;DR: They’ve built a spreadsheet-like UI with the full power of a data warehouse. Powered by cutting-edge database technology, Snowpilot lets non-technical users join datasets and query across billions of rows, with live data pulled in from tools like Salesforce, Zendesk, Gong, and Posthog.
They met at a Sequoia & a16z-backed data startup, Census. Together, they built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs.
Locked up data = blocked deals 🤬
At every company they worked at, deals and features went awry because non-engineers were blocked on basic questions across customers, products, and deals. In theory, all of the data was in Snowflake, but in practice…
Sales couldn’t find the status of their deals’ feature requests
PMs weren’t able to estimate the value of a feature
Support couldn’t triage issues based on account size
They accepted that queries had to go through some “data guy”. This meant that most questions were never answered, deals were lost, and the wrong features were built.
Snowpilot simplifies data access, 10x’ing business velocity ✅
With Snowpilot, they’ve taken the much-loved spreadsheet interface and given it the full power of the data warehouse. Snowpilot feels like using Excel or Notion databases, but without the limitations:
Connected to live data from sources like Salesforce, Zendesk, and Gong
Simple interface that abstracts away complex operations, such multi-table joins, grouping, pivots, and deduplication
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