Databricks is launching new tools to help companies cap AI costs, after finding customers had accidentally spent tens of millions of dollars on their broader AI bills in a single month.
Why it matters: AI agents are making corporate software bills harder to predict, and Databricks wants to be the layer companies use to keep them under control.
The big picture: The rise of AI agents that autonomously interact with models without much human supervision is increasing AI usage and forcing companies to blow budgets.
Traditional cloud cost tools often flag overspending only after the damage is done.
Databricks hopes its new tool helps firms pivot from token maxing to "value maxing," Patrick Wendell, Databricks co-founder, tells Axios.