Databricks launches Genie One, an all-new agentic coworker

Databricks has announced Genie One, an all-new agentic coworker that helps business teams automate and orchestrate their work across any data — structured or unstructured, analytical or operational, inside or outside Databricks. Genie One is part of Genie, Databricks’ suite of AI coworkers that turn business data into trusted answers and actions.

At the core of the Genie family is Genie Ontology, a web of all knowledge in an organization from everyone and everything, including data, docs, tags, content, apps, documents, and people. It is a new self-improving context layer that solves one of enterprise AI's hardest problems: understanding a business completely from its data, so AI can be smarter and more effective. Genie Ontology automatically extracts and continuously updates business knowledge from Databricks as well as AI tools and connected workplace apps across files, tickets, chats, and meetings. Now, with this ground truth, Genie can retrieve real answers from governed data and take the right next action, rather than guess from incomplete context. The result is higher accuracy, reduced latency, and lower costs.

With Genie Agents and Genie App Builder, teams across the business can create reusable agents and applications — all connected to their data with access controls, permissions, and cost governance built in.

Closing the AI Context Gap

Genie solves this by treating governed enterprise data, not documents or embeddings, as the ground truth. Genie Ontology continuously extracts and updates business context from across Databricks and connected systems, so Genie One can look up the real answer to business questions in curated, authoritative data through SQL rather than reason from fragments spread across documents. The result is a data smart agentic coworker that can explain why margins changed, surface upsell opportunities in a sales pipeline, or help finance close the books, because it's working from the same data on which the business actually runs.

“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.”

Additional Details

•             Genie One is a data-smart agentic coworker for everyone, available on web, iOS, and Android. While the first generation of Genie only provided conversational analytics on data stored in Databricks, Genie One now connects business users to all their data in both Databricks and a wide range of connected applications. It goes beyond just answering questions to producing documents, reports, and artifacts. Genie One is a step-function change in automating data work, both inside and outside Databricks. Teams get visual interfaces including interactive charts and graphs, and can set up alerts for always-on monitoring, schedule tasks, create repeatable skills, and take action anywhere with MCP tools.

•             Genie Ontology’s live, self-improving enterprise context grounds all of Genie's reasoning. Genie Ontology automatically captures and updates enterprise context from existing knowledge sources, creating real ground truth for the business so important datasets and metrics are consistently understood, governed, and used. Genie connects to all major AI tools as well as more than 50+ popular apps and data systems for business users across databases, files, tickets, chats, and meetings. Integrations launching today include Google Drive, Jira, Slack, Confluence, SharePoint, and more. This new context layer enables Genie to deliver more accurate answers with reduced latency and lower costs for data-intensive questions.

•             Genie Agents allow teams to save any Genie conversation as a reusable agent that inherits the conversation’s memory, including its sources, instructions, and behavior, so coworkers can call on it by name and repeat trusted workflows across teams. Employees can also create and share agent skills with teammates for consistent, repeatable answer formats and workflows.

•             Genie App Builder is a fully managed vibe coding environment built for the enterprise. Teams can upload business context, and Genie App Builder generates a live build plan and working app preview connected to real, governed enterprise data. These applications (built for internal teams or customers) run safely and cost-effectively with Unity Catalog permissions and access controls built in from the start.

•             Genie Code is an autonomous AI agent that helps data teams plan, build, and run data engineering, machine learning, and analytics workflows. It now includes a dedicated workspace to track progress, review steps, and easily switch between threads to work across projects.

•             Genie ZeroOps is a new background agent built into Databricks that autonomously monitors, investigates, and proposes fixes for data and AI assets such as pipelines, jobs, tables, ML models and more.