- Genie One It helps business teams like marketing, finance, and sales automate and adjust their work based on real business data.
- Genie features new technology genie ontologyis a live context layer that continuously learns from your business from internal and external data, AI tools, and popular workplace apps to deliver more accurate answers, faster and at a lower token cost.
- Expand your Genie product suite. genie agent and genie app builder This allows teams to build reusable agents and code business apps that are fully managed by Unity Catalog.
DATA + AI Summit — June 16, 2026 — Data and AI company Databricks today announced Genie Oneis an all-new agent co-worker that enables business teams to automate and orchestrate work across any data, structured or unstructured, analytical or operational, inside or outside of Databricks. Genie One is part of Genie, Databricks’ suite of AI coworkers that turns business data into trusted answers and actions.
The core of the Genie family is genie ontologya web of knowledge from everyone and everything in your organization: data, documents, tags, content, apps, documents, people, and more. This is a new self-improving context layer that enables AI to become smarter and more efficient by addressing one of enterprise AI’s toughest problems: fully understanding your business from data. 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. This ground truth enables Genie to get real answers from controlled data and take appropriate next actions, rather than guessing from incomplete context. The result is increased accuracy, reduced latency, and reduced costs.
and genie agent and genie app builder, Teams across the business can create reusable agents and applications. All of these have built-in access controls, permissions, and cost governance and are connected to data.
Why early enterprise AI coworkers are not enough
AI has transformed software engineering. Because context engineers need to focus in one place: the source code. It is complete, structured, and easy for agents to read. The rest of the company won’t see the same changes because most business operations aren’t like that. Context is distributed across different systems, and much of what is important exists only in people’s heads. Business teams want to ask simple questions about how their company is doing and act on the answers, but even the best AI agents can’t answer them with certainty if the information is fragmented and undocumented. When context is missing, AI fills in the gaps with guesses. And in finance, operations, and sales, a confident wrong answer is often worse than no answer at all.
Bridging the AI context gap
Genie solves this problem by treating managed corporate data as the ground truth, rather than documents or embeddings. genie ontology Continuously extract and update business context from across Databricks and connected systems. Genie One Instead of inferring the real answers to your business questions from fragments scattered across documents, you can find them from trusted data curated through SQL. The result is a data-smart agent colleague who can explain why margins have changed, uncover upsell opportunities in the sales pipeline, and help finance close the bottom line because they work from the same data that the business actually operates on.
“Most of today’s enterprise AI is just guessing with false confidence, and that’s 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 your margins have changed, or you’re a sales leader and can’t find your next upsell, it’s not an AI problem; it’s a context problem. Because Genie Ontology continuously learns context from data everywhere, our answers are much faster and our agents are more accurate. This is the difference between an AI chatbot and an agent colleague who knows your business inside and out. Every metric, every piece of data. Source, All Answers Every CEO and business leader needs Genie at their fingertips.
Additional details
- Genie One is a co-worker of data smart agents available for everyone, available on the web, iOS, and Android. While the first generation of Genie only offered conversational analytics on data stored in Databricks, Genie One now allows business users to connect to all their data both in Databricks and a wide range of connected applications. We don’t just answer questions, we also create documents, reports, and deliverables. Genie One is a step function modification that automates data work inside and outside of Databricks. With visual interfaces like interactive charts and graphs, teams can set constant monitoring alerts, schedule tasks, create repeatable skills, and use MCP tools to take actions from anywhere.
- genie ontology‘s All of Genie’s reasoning is grounded in a vibrant, self-improving enterprise context. Genie Ontology automatically captures and updates enterprise context from existing knowledge sources to create true ground truth for your business, enabling you to consistently understand, manage, and use critical datasets and metrics. Genie connects to all major AI tools, as well as over 50 popular apps and data systems for business users, including databases, files, tickets, chat, meetings, and more. Integrations launching today include Google Drive, Jira, Slack, Confluence, SharePoint, and more. This new context layer enables Genie to provide more accurate answers while reducing latency and cost for data-intensive questions.
- genie agent Teams can save Genie conversations as reusable agents that inherit the memory of the conversation, including its source, instructions, and actions, allowing colleagues to recall the conversation by name and repeat reliable workflows across teams. Employees can also create agent skills and share them with teammates for consistent and reproducible response formats and workflows.
- genie app builder is a fully managed Vibe coding environment built for enterprises. Teams can upload business context, and Genie App Builder generates live build plans and working app previews connected to real, managed enterprise data. These applications (built for internal teams or customers) run securely and cost-effectively with Unity Catalog permissions and access controls built in from the beginning.
- genie code is an autonomous AI agent that helps data teams plan, build, and execute data engineering, machine learning, and analytics workflows. Now includes a dedicated workspace to track progress, review steps, and easily switch between threads to work across multiple projects.
- Genie Zero Ops A new background agent built into Databricks that autonomously monitors, inspects, and recommends fixes for your data and AI assets, including pipelines, jobs, tables, and ML models.
“Albertsons Companies is building merchandising intelligence across the 4Ps of merchandising (Product, Pricing, Promotion, Placement) to enable merchandising to make faster, more explainable, and more customer-relevant decisions across the 4Ps of merchandising (Product, Pricing, Promotion, and Placement). In this effort, we leverage trusted enterprise data, merchant expertise, and AI. Databricks provides the core foundation for this capability through Lakehouse, Unity Catalog, and AI. Genie provides the core foundation for this capability through Lakehouse, Unity Catalog, and AI. Genie supports managed data, scalable analytics, trusted AI access, and merchant-friendly discovery in one platform. plays a critical role in enabling sellers to easily explore and understand complex merchandising data 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 actions.
– Karthik Iyer, Group Vice President, Head of Merchandising, Transformation and AI, Albertsons
“Our investment in building the Uplight data platform on Databricks is paying off in powerful new ways. By bringing Genie One capabilities to our data, we are empowering 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 of curiosity, data-driven decision-making, and innovation at every level of the enterprise.” – Micaela Christopher, Director of Data Science and Engineering, Uplight
“At Foot Locker, Genie agents are transforming the way we lead. They provide our executive and business teams with a centralized space to leverage AI-driven insights across all North American banners we operate. As we extend Genie into the enterprise, we are reshaping the way businesses interact with data and make their most important decisions. Genie It’s not just a tool, it’s an engine that powers self-service insights across your organization.” – Krish Lakshminarayanan, VP of Enterprise Architecture, AI, Data and Analytics and Matt Giunipero, VP of Data and Analytics at Foot Locker
availability
Genie has no seat-based pricing and organizations only pay for the AI they actually use, with up to $10 free per user per month. Genie One, Genie Agents, and Genie Code are now generally available. Genie App Builder and Genie ZeroOps will go into private preview immediately after the Data + AI Summit. Genie is now available as a native app for iOS and Android.
Learn more about Genie on the Databricks blog.
About data bricks
Databricks is a data and AI company. More than 20,000 organizations around the world, including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500, rely on Databricks to build and scale their data and AI apps, analytics, and agents. Headquartered in San Francisco with more than 30 offices worldwide, Databricks offers an integrated platform that includes Lakebase, Genie, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. For more information, follow Databricks on LinkedIn. ×YouTube, Instagram.
contact: press@databricks.com
