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On October 29, 2026, Databricks launched a voice agent solution and open-sourced the DIVA blueprint as the starting point for the next scenario. The solution emphasizes that the value of voice agents lies not in being able to converse, but in combining context, ontology, and governed data to understand callers in real time and execute rules. Its prototype uses LiveKit to carry calls, Deepgram for speech-to-text and default voice, and ElevenLabs to provide expressive voice, and can hand calls over to a human. The agent runs where the customer's data resides, connecting to order, loyalty, and CRM systems through read-only queries. Currently, the solution uses the DIVA blueprint as the starting point for subsequent scenarios.
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The voice agent is ready—Databricks uses context to make it truly serve customersDevelopments
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Databricks launches voice Agent solution and open-sources DIVA blueprint
Source:Databricks Blog
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Oct 29
Databricks BlogFirst-party
The voice agent is ready—Databricks uses context to make it truly serve customers
Databricks argues that the value of a voice agent lies not in being able to converse, but in combining context, ontology, and governed data to understand callers in real time and execute rules. Its prototype uses LiveKit to carry calls, Deepgram for speech-to-text and default voice, and ElevenLabs for expressive voice, and can hand calls over to a human. The agent runs where customer data resides, connecting to order, loyalty, and CRM systems through read-only queries, and uses the DIVA blueprint as the starting point for the next scenario.