Make teams data driven.
Teams can query in plain language, getting answers to what’s changed and what caused it as work happens.
Teams can query in plain language, getting answers to what’s changed and what caused it as work happens.
Every question generates reviewable SQL, so data teams can debug, govern, and trust the results.
Data teams specify definitions and context so answers reflect how the org actually measures the business.
Computer connects to the data already powering analytics, reporting, and business operations so teams can query, understand, and act.
warehouse / source of truth
Plain language, grounded in trusted organization data.
Example questions teams can ask Computer once Snowflake is connected.



Show the metrics behind this quarter’s biggest changes, with assumptions called out.View example query

A simpler path from warehouse connection to governed answers.
Admins connect Snowflake from Organization Settings to use data already powering analytics, reporting, and business operations.
Computer builds a context layer that captures important tables, columns, relationships, query patterns, and business context.
Teams query Computer, which uses the context layer to retrieve relevant results in plain language.
Admins can edit, and update the context layer as business definitions change. Feedback and updated context improve answers across the org.
Computer respects your existing Snowflake security model, including role-based access controls, column- and row-level data policies.
Computer uses existing network restrictions, OAuth-based authentication with MFA/SSO, and full audit logging.
The context layer stays private to your organization, and your data is never used for model training.
Snowflake already holds the information teams need to make better decisions. Computer makes the information easier to reach, easier to understand, and easier to govern.