The company closes a $5 billion funding round at a $190 billion valuation as it expands Lakebase, Genie and Unity AI Gateway for enterprise AI agents<\/p>\n
Databricks, the Data and AI company, announced it crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth during its Q2. Building on this momentum, the company closed a $5 billion strategic funding round at a $190 billion valuation. The investment will drive continued innovation across\u00a0Lakebase, its serverless Postgres database built for AI agents,\u00a0Genie, Databricks\u2019 AI coworker that turns business data into trusted answers and actions, and\u00a0Unity AI Gateway, for multi-AI governance and cost controls.<\/p>\n
The round was led by Coatue, along with Blackstone, MGX, accounts advised by T. Rowe Price Associates, Inc. and T. Rowe Price Investment Management, Inc., and new investor Sixth Street Growth. Other new investors included BOND, Clearlake Capital, Point72, Premji Invest, and TPG alongside existing investors Andreessen Horowitz, Dragoneer, Fidelity Management & Research Company, Franklin Templeton, GIC, Growth Equity at Goldman Sachs Alternatives, Insight Partners, J.P. Morgan Private Capital, Kinetic, Morgan Stanley Investment Management, NEA, Ontario Teachers\u2019 Pension Plan, Temasek, Thrive Capital, and WCM Investment Management.<\/p>\n
The Future of Data + AI\u00a0<\/p>\n
Today, companies have a new set of employees to support: AI agents. To do their jobs, agents need a reliable, scalable foundation, clear, accurate answers from enterprise data, and the ability to easily forecast budgets and switch to more cost-effective models to avoid burning through expensive tokens. The Databricks Data + AI Platform delivers the foundation with Lakebase, enterprise context with Genie, and smart routing and cost controls with Unity AI Gateway, giving teams a simple way to build AI that actually works.<\/p>\n
Databricks\u2019 Financial Momentum<\/p>\n
This funding follows Databricks\u2019 continued business momentum, including:<\/p>\n
Growing >80% year over year, surpassing $7B revenue run-rate<\/p>\n
Continuing to deliver positive adjusted free cash flow over the last 12 months<\/p>\n
Surpassing $1.5B revenue run-rate for Lakehouse, its data warehousing product, growing over 100% year over year\u00a0<\/p>\n
Exceeding $100M revenue run-rate for Lakebase<\/p>\n
>1,000 customers consuming at over $1 million revenue run-rate<\/p>\n
>100 customers consuming at over $10 million revenue run-rate<\/p>\n
\u201cEnterprises don’t just want AI that talks. They want agents working across their business that remember context, deliver accurate answers, and execute work without blowing through their budgets,\u201d said\u00a0Ali Ghodsi, Co-founder and CEO of Databricks. \u201cThat requires real-time operational data with Lakebase, context from across the business with Genie, and multi-AI cost controls with Unity AI Gateway. The tremendous investor demand for this round shows that our AI strategy is winning the market and building what every business needs to maximize their impact with agents.\u201d<\/p>\n
\u201cDatabricks has spent a decade being early to where AI was headed. Now it’s the infrastructure the industry builds and scales AI on,\u201d said\u00a0Thomas Laffont, Co-founder of Coatue. \u201cWhat stands out most is the pace: they’ve compressed R&D timelines that used to take years into months, more like a research lab than a typical software company. We’ve been investors since 2019, and results like that are why we’re proud to lead this round today and keep building with them.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"The company closes a $5 billion funding round at a $190 billion valuation as it expands Lakebase, Genie…\n","protected":false},"author":2,"featured_media":140779,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,19906,644,1912,11824,65106,13983,4563],"class_list":["post-140778","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-business-management","tag-crm","tag-enterprise-software","tag-erp","tag-erp-news","tag-oracle-netsuite","tag-sap"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/140778","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=140778"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/140778\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/140779"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=140778"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=140778"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=140778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}