Databricks, the Data and AI company, today 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.
Why Early Enterprise AI Coworkers Have Fallen Short
AI transformed software engineering because the context engineers need lives in one place: the source code. It’s complete, structured, and easy for agents to read. The rest of the enterprise hasn’t seen the same transformation, because most business work isn’t like that. The context is scattered across different systems, and much of what matters lives only in people’s heads. Business teams want to ask simple questions about how the company is doing and act on the answers, but even the best AI agents can’t answer reliably when the information is fragmented and undocumented. When context is missing, AI fills the gap with guesses. And in finance, operations, or sales, a confident wrong answer is often worse than no answer at all.
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.
“Albertsons Companies is building Merchandising Intelligence to help merchants make faster, more explainable, and more customer-relevant decisions across the 4Ps (product, pricing, promotions, and placement) of merchandising. The initiative brings together trusted enterprise data, merchant expertise, and AI-enabled insights to help teams better understand customer needs and create a more consistent shopping experience. Databricks provides a core foundation for this capability through the Lakehouse, Unity Catalog, AI Gateway, and Genie – supporting governed data, scalable analytics, trusted AI access, and merchant-friendly discovery in one platform. Genie plays an important role in making complex merchandising data easier for merchants to explore and understand in natural language, while the broader Databricks platform supports the end-to-end intelligence layer needed to move from data discovery to explainable recommendations and action.”-Karthik Iyer, Group VP, Head of Merchandising, Transformation, and AI, Albertsons
“Our investment in building the Uplight Data Platform on top of Databricks is paying off in powerful new ways. By bringing Genie One capabilities to our data, we’re enabling teams across Uplight to explore, discover, and innovate with more speed, confidence, and creativity than ever before. This is the promise of data democratization – enabling a culture where curiosity, data-informed decision-making, and innovation can happen at every level of the company.” – Micaela Christopher, Director of Data Science and Engineering, Uplight
“At Foot Locker, Genie Agents are transforming how we lead. They provide our executives and business teams with a centralized space to harness AI-driven insights across every North American banner we operate. As we scale Genie to the enterprise, it’s reshaping the way our business interacts with data and makes the decisions that matter most. Genie isn’t just a tool; it’s the engine driving self-service insights across our organization” – Krish Lakshminarayanan, VP, AI, Data & Analytics, Enterprise Architecture and Matt Giunipero, VP of Data & Analytics, Foot Locker.
Availability
Genie has no seat-based pricing and organizations get up to $10 free for every user every month, so organizations pay only for the AI actually used. Genie One, Genie Agents, and Genie Code are now generally available. Genie App Builder and Genie ZeroOps will enter private preview shortly after the Data + AI Summit. Genie is now available as native iOS and Android apps.
Read more about Genie on the Databricks blog.
