Databricks has agreed to raise a new round of strategic funding at a $188 billion valuation, a figure that ranks the data and AI company among the most valuable private technology firms anywhere. The company disclosed the deal on July 16, saying it had signed a term sheet led by existing investor Coatue. The round is expected to close later this summer and will include a mix of new and returning investors.

The capital is aimed squarely at the company’s artificial intelligence roadmap. Databricks said it would concentrate the money on three products: Unity AI Gateway, its multi-AI governance layer that helps enterprises manage and control the cost of running different models; Genie, an AI coworker that turns business data into answers and actions; and Lakebase, a serverless Postgres database designed for AI agents. Together the three reflect a bet that large organizations want to combine data and AI on infrastructure built for automation rather than stitch tools together after the fact.

That bet rests on a problem the company calls the enterprise context gap. In many organizations data sits scattered across systems, disconnected from the models meant to use it and hard to govern, which leaves teams unable to trust the cost, security or reliability of what they deploy. Databricks positions its platform as the fix, unifying data and AI, governing access and spending, and supplying the business context that makes deployments workable.

Chief executive Ali Ghodsi tied the fundraising to a shift in how buyers think about model spending. “Enterprises are moving from tokenmaxxing to valuemaxxing,” he said, describing customers who no longer want to spend on the most powerful model for every task and instead want the strongest result for each dollar. He framed the new money as a way to keep advancing the company’s multi-AI approach and to keep strengthening Unity AI Gateway, expanding Genie and developing Lakebase.

Beyond product work, Databricks signaled that the round would support future acquisitions in artificial intelligence and deeper investment in research, a sign that it intends to buy as well as build as competition for AI talent and tooling intensifies.

The valuation underlines how much investor money continues to flow toward AI infrastructure even as questions grow about returns. Databricks says more than 20,000 organizations rely on its platform, including a long list of household names and roughly 70 percent of the Fortune 500. The company is headquartered in San Francisco and operates more than 30 offices worldwide.

For a market that spent the first half of 2026 watching record rounds land at frontier labs and compute providers, the Databricks deal is a reminder that the software layer sitting between raw models and enterprise data carries its own heavy price tag. Whether the $188 billion figure proves durable will depend on how quickly that layer turns demand into revenue, and on whether the multi-AI thesis holds as models and prices keep shifting.