In Q2, Databricks reported exceeding a $4 billion revenue run-rate, with AI product sales surpassing $1 billion, and projects reaching $4 billion annually.

The company has expanded physically by opening new offices in San Francisco and Sunnyvale to attract top AI talent.

The company plans to use recent funding to develop a new AI database category and accelerate its AI offerings, including future acquisitions.

Founded in 2013 and based in San Francisco, Databricks serves over 20,000 organizations worldwide, including major clients like Block, Comcast, and Shell.

Databricks is heavily investing in AI innovation, with a new capital aimed at expanding key AI products like Agent Bricks and Lakebase, and supporting future acquisitions and research.

Agent Bricks is a platform for building AI agents based on enterprise data, while Lakebase is a new operational database optimized for AI applications, both central to Databricks' AI strategy.

Databricks maintains a strong financial position with over 650 customers spending more than $1 million annually, a net revenue retention rate above 140%, and positive free cash flow.

While there is speculation about an IPO, Databricks prefers to remain private for now, indicating they will go public when the timing is right.

This funding round follows a January Series J round that raised $10 billion and valued the company at $62 billion, with a recent valuation now surpassing $100 billion.

Databricks, founded in 2013, offers a platform for data analysis and AI development and is considered a prime IPO candidate, especially after recent successful IPOs like Figma.

The company recently closed a $1 billion funding round at a valuation exceeding $100 billion, making it one of the most valuable private tech firms, driven by rising demand for AI products.

CEO Ali Ghodsi emphasizes building foundational data and AI infrastructure for enterprises over the coming decades.