Databricks seeks fresh capital at more than $130 billion valuation

Databricks is reportedly in talks to raise capital at a valuation exceeding $130 billion. The valuation is 30% higher than the data analytics firm’s last financing round in September, where its valuation reached $100 billion.

According to a report by The Information on Monday, Databricks has not signed a term sheet with any investment firm. In its previous capital raise, the firm stated that it was on track to achieve $4 billion in annualized revenue.

Databricks’ AI products drive its annual revenue higher

Scoop: Databricks in talks to raise at above $130B valuation, just months after raising above $100B. Money could be used for acquisitions to further compete with Snowflake etc. w/ @amir https://t.co/YaiMVNMhqi

— Katie Roof (@Katie_Roof) November 18, 2025

The company revealed that its annualized revenue will be driven by booming demand for its artificial intelligence products. According to the announcement, Databricks planned to use the proceeds to boost its AI strategy, pursue acquisitions and research, and launch an operational database category.

The data analytics firm disclosed that it plans to expand Agent Bricks and invest in its database offering Lakebase. Databricks said Agent Bricks helps build high-quality, production AI agents optimized to a user’s enterprise data, while Lakebase is an operational database (OLTP) built on open source Postgres and optimized for AI agents.

“We’re seeing tremendous investor interest because of the momentum behind our AI products, which power the world’s largest businesses and AI services.”

–Ali Ghodsi, Co-Founder and CEO of Databricks.

Ghodsi also confirmed that every company can securely turn its enterprise data into AI apps and agents. He believes the initiative helps firms grow revenue faster, operate more efficiently, and make smarter decisions with less risk.

The company announced in September that it had crossed a $4 billion revenue run rate during Q2, a 50% year-over-year growth. Databricks also said that its AI products have surpassed the $1 billion revenue run rate.

Databricks’ latest capital raise comes as it reported increased growth and expansion during the first half of the year. The firm has partnered with tech giants, including Microsoft, Anthropic, Google Cloud, SAP, and Palantir. The company also acknowledged that it has more than 20,000 organizations currently relying on the Databricks Data Intelligence Platform, including Block, Comcast, Conde Nast, Shell, and Rivian.

Konwinski says the U.S. is losing its dominance in AI research to China

Despite the continued growth from Databricks’ AI strategy and partnerships, Andy Konwinski, the firm’s co-founder, warned that the U.S. is losing its dominance in AI research to China. He called the shift an existential threat to democracy.

The co-founder of the AI research and venture capital firm Laude said many PhD students can confirm that they’ve read twice as many interesting AI ideas in the last year that were from Chinese companies than American companies. Konwinski said onstage at the Cerebral Valley AI Summit earlier last weekend that major AI giants like OpenAI, Meta, and Anthropic are increasing innovation, which has remained largely proprietary rather than open source. He also believes that such companies are hiring top academic talent by offering multimillion-dollar salaries that dwarf what experts can earn in universities.

Cryptopolitan previously reported that Konwinski said ideas need to be freely exchanged and discussed with the larger academic community in order to flourish. He also argued that generative AI has transitioned to a direct result of the Transformer architecture. 

Databricks’ co-founder believes that the first nation to make the next breakthrough in Transformer architectural level – a pivotal training technique – will have an advantage in the AI industry. Konwinski also noted that China receives massive support from the government by encouraging AI innovation. He said companies like DeepSeek and Alibaba’s Qwen are allowed to be open source, which allows others to build upon them.

Konwinski acknowledged that the situation in the U.S. is different, which limits the country’s dominance in the sector. He said the trend poses not only a risk to democracy, but also a business threat to major AI labs. He also maintained that the industry needs to ensure the U.S. remains number one and open.

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