Databricks lines up new funding at $188 billion valuation
The data and AI platform has signed a term sheet for a new round led by Coatue, with the Wall Street Journal reporting $3 billion in fresh capital.
By Wei-Lin Zhao · AI Correspondent
· 3 min read
Databricks is raising a new strategic financing at a $188 billion valuation, with Coatue leading and the Wall Street Journal reporting that the round will add $3 billion to the company’s balance sheet. Databricks announced the financing Thursday but did not disclose the amount being raised, the exact investor list or the terms beyond saying the deal is expected to close later this year.
The valuation would keep Databricks among the most valuable private software companies and underscores how investor demand has shifted toward infrastructure vendors positioned around enterprise AI. The company sells a cloud data platform used by enterprises to store, process and analyze business data, and it has been adding AI features around analytics, coding assistance and agent development.
Databricks said the new capital will go toward expanding its AI products and making acquisitions. That is a familiar use of funds for the company: Lakebase, one of the products it highlighted in the announcement, came from Databricks’ $1 billion acquisition of database startup Neon last May. Databricks later bought Mooncake Labs, adding technology intended to reduce data movement between applications and cut related costs.
Where the money is going
The company said a focus of the new engineering work will be Genie, a set of AI assistants introduced in March. Databricks says Genie includes tools that can help generate code, including SQL queries, and create custom AI agents for data science workflows.
Databricks also pointed to Genie One, a newer product that lets users query data in Databricks and outside systems through natural-language prompts. Another product, Genie Ontology, is designed to organize business data into structures the company says are easier to analyze.
The company said two other products will get priority: Lakebase and Unity AI Gateway. Lakebase is a managed relational database meant to give AI agents a place to store information. Unity AI Gateway is positioned as a governance layer for agents, with controls for quality, cybersecurity safeguards, filtering of harmful responses and cost analysis tied to agent workloads.
Ali Ghodsi, Databricks’ co-founder and chief executive, framed the product push around customers seeking better AI economics. “Enterprises are moving from tokenmaxxing to valuemaxxing,” he said in the company’s announcement. “They don’t want to burn expensive tokens on the smartest model for every task, they want the best outcome per dollar. That means having the freedom to choose the right AI for the job.”
The claim fits the broader pitch from infrastructure companies selling into AI budgets: customers want control over model choice, governance and cost as AI use moves from experiments into production systems. Databricks did not disclose revenue, headcount, growth rate or how the new valuation compares with current operating metrics, leaving the valuation multiple impossible to assess from the announcement alone.
The company said it has signed a term sheet for the financing. Until the round closes, the investor roster and final size could still change.
This story draws on original reporting from SiliconANGLE.
