The launch is part of a broader expansion of Genie, which Databricks describes as a family of AI coworkers that convert business data into trusted answers and actions. The company also introduced Genie Agents and Genie App Builder, alongside Genie Code and Genie ZeroOps.
Central to the product line is Genie Ontology, a live context layer that continuously gathers and updates business knowledge from sources including data, documents, tags, content, applications, files, tickets, chats, meetings, and people. Databricks said the system connects to major AI tools and more than 50 workplace apps and data systems, with integrations launching for Google Drive, Jira, Slack, Confluence, SharePoint, and others.
Databricks is positioning Genie Ontology as a way to address a common enterprise AI problem: fragmented business context. Rather than relying on incomplete information pulled from scattered documents, the company said Genie can use governed enterprise data as the source of truth and retrieve answers through SQL.
“Most enterprise AI today is just guessing with false confidence. That is not good enough for business,” said Ali Ghodsi, co-founder and CEO of Databricks. “If you’re a CFO and AI can’t tell you why margins changed, or you’re a sales leader, and it can’t find your next upsell, that’s not an AI problem, that’s a context problem. Genie Ontology continuously learns context from data everywhere, so our answers are much faster and our agents are more accurate. That’s the difference between an AI chatbot and an agentic coworker who knows your business inside out — every metric, every data source, every answer. Every CEO and business leader should have Genie at their fingertips.”
Genie Agents allow teams to turn any Genie conversation into a reusable agent that retains its sources, instructions, memory, and behavior. Databricks said employees can also create and share agent skills with colleagues to support repeatable workflows and consistent answer formats.
Genie App Builder is designed as a managed “vibe coding” environment for enterprise users. Teams can upload business context, after which the tool generates a build plan and a working app preview connected to governed enterprise data. Databricks said the resulting applications can be built for internal users or customers and are governed through Unity Catalog permissions and access controls.
Databricks also detailed Genie Code, an autonomous AI agent for data teams working on data engineering, machine learning, and analytics workflows. Genie Code now includes a workspace for tracking progress, reviewing steps, and moving between project threads.
Genie ZeroOps, another new background agent, is built to monitor Databricks data and AI assets, investigate issues, and propose fixes for pipelines, jobs, tables, ML models, and related systems.
Customer statements included in the announcement framed Genie as a way to make enterprise data more accessible to business users. Albertsons said Genie supports merchandising intelligence by helping merchants explore complex data in natural language, while Uplight said Genie One could help teams work with data more quickly and confidently. Foot Locker said Genie Agents are supporting AI-driven insights across its North American banners.
Genie One, Genie Agents, and Genie Code are now generally available. Genie App Builder and Genie ZeroOps are expected to enter private preview shortly after the Data + AI Summit. Databricks said Genie is available on the web as well as native iOS and Android apps.
The company said Genie does not use seat-based pricing. Organizations receive up to $10 free for every user each month and pay only for AI usage beyond that.
This analysis is based on reporting from Databricks.
Image courtesy of Databricks.
This article was generated with AI assistance and reviewed for accuracy and quality.
