Databricks turns Genie into an always-on agent and makes Genie Ontology generally available

Databricks on 11 November announced the second generation of Genie, its AI assistant for enterprise data, recasting it as an always-on agent that keeps working on a goal without being prompted. According to the Databricks press release, users give Genie a goal and boundaries, and it tracks progress, delegates to subagents, follows up on missing inputs and reaches out when a person needs to decide something.

Two new surfaces carry that work. Genie now opens to a priority inbox of items that need attention, and each new alert arrives as its own email thread that links back into the app. Databricks says Genie runs in the background on its own compute inside a customer’s Databricks environment, with every action held to Unity Catalog permissions and Unity Gateway approval rules and budgets, and fully auditable.

The agent draws on Genie Ontology, which Databricks describes as a layer that captures a company’s definitions, metrics, people and processes and keeps them current. The company says Genie and Genie Ontology are now generally available to all customers, while Genie Search, the Ontology Manager and the always-on version of Genie are coming soon to preview and beta programmes. Genie Search is pitched as one governed search across the lakehouse and business apps such as Google Drive, Jira and Confluence, with more than 100 connectors.

TechTarget reported that Genie Ontology was first introduced in June and that analysts see rivals including Snowflake and the large cloud providers building similar context layers. Analysts quoted by the outlet said Databricks still needs stronger controls over what autonomous agents do in production, not only what data they can read.

On pricing, Databricks says customers pay for usage rather than per seat, and administrators can set spending limits by team or user.

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