Databricks raised $5 billion and reached a $190 billion valuation, up from $134 billion six months earlier.

It has passed a $7 billion annualised revenue run rate and reported more than 80% second-quarter growth.

Its products organise, analyse and govern data before it enters AI applications. That work is less visible than a chatbot, but determines whether an organisation can trust the result.

For studios, the lesson is concrete: files, versions, permissions and naming are part of AI infrastructure. Automating disorder does not turn it into knowledge.

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The question

Why is a company that prepares data worth so much?

Because many organisations discover the model is not their main obstacle. Without accessible, organised and governed information, AI cannot move from demonstration to reliable process.