Databricks has signed a term sheet for its Series K funding round, pushing the company’s valuation to over $100 billion—making it one of the most significant late-stage investments in the AI sector this year. The funding, supported by existing investors, is set to propel Databricks’ ambitious AI roadmap, including major advancements in enterprise AI and operational databases.
The new capital will be used to scale Agent Bricks, Databricks’ enterprise-grade platform for building AI agents, and to further develop Lakebase, the company’s operational database. Built on open-source Postgres and optimised for AI-centric applications, Lakebase is designed to enable faster and more intelligent data operations.
CEO and co-founder Ali Ghodsi commented on the funding, saying, “Every company can securely turn its enterprise data into AI apps and agents to grow revenue faster, operate more efficiently, and make smarter decisions with less risk.” He emphasized that Databricks is riding on “an unprecedented global demand for AI apps and agents.”
Beyond product development, the funding will support Databricks’ AI acquisition strategy and boost its investments in research and innovation. The company’s growing network of partnerships—including with Microsoft, Google Cloud, Anthropic, SAP, and Palantir Technologies—is helping to expand its global footprint in the AI and data infrastructure space.
Serving over 15,000 customers globally through its Data Intelligence Platform, Databricks enables businesses to build secure, scalable AI applications while optimizing costs and accelerating innovation. The company’s platform is already a critical piece in enterprise AI transformation, helping organizations harness the power of their data in more intelligent and efficient ways.
This funding milestone also reflects the broader trend of rising capital inflows into the AI sector. Earlier this year, OpenAI secured $8.3 billion as part of a larger $40 billion funding goal, reaching a $300 billion valuation. Databricks’ latest round further underscores the investor confidence in foundational AI platforms that bridge data, analytics, and intelligent automation.
