Ragnerock creates queryable data from any raw source and connects it to your existing infrastructure.

Organizations sit on enormous amounts of data that never get used. It lives on hard drives, in SharePoint sites, in Dropbox folders, and across the public internet. The reason it goes untouched is that getting raw data into a queryable state requires significant time and technical effort that most teams are not staffed to handle. 
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The platform connects directly to raw data sources and makes them queryable using plain SQL, without requiring any preprocessing, transformation, or data migration. 

For teams that work in Jupyter notebooks, Ragnerock’s notebook layer is fully API-compatible with the Jupyter standard and runs in existing kernels, meaning there is no new environment to learn and no disruption to how analysts already work.
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Outputs flow directly into existing infrastructure, including Snowflake, Databricks, BigQuery, and PostgreSQL. Source documents remain in the organization’s own cloud storage, and teams bring their own AI provider keys. Ragnerock provides the structured data layer; everything else stays where it is.

Ragnerock, Inc.

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Ragnerock, Inc.

Org chart

Teams

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