Databricks Ventures

Corporate

Profile

Investments
5
Companies
5

Capital

Total Deployed
$621M
Lead Rounds
0

Portfolio

5 companies
World Labs $1.2B
Private San Francisco, United States

World Labs is a spatial intelligence AI company building Large World Models that can perceive, generate, reason about, and interact with 3D environments. Founded by AI pioneer Fei-Fei Li, its flagship product Marble enables users to create high-fidelity, persistent 3D worlds from images, video, or text prompts.

dbt Labs $416M
Private Philadelphia, United States

dbt Labs is the company behind dbt (data build tool), an open-source analytics engineering framework that enables data teams to transform data in their warehouses using SQL. Originally founded as Fishtown Analytics, the company signed a definitive agreement to merge with Fivetran in October 2025 in an all-stock deal, creating a combined data infrastructure company approaching $600M in ARR.

Alation $315M
Private Redwood City, United States

Alation is the pioneer of the data catalog category, providing an agentic data intelligence platform that helps enterprises discover, govern, and trust their data assets. The platform uses AI-powered search, automated documentation, and lineage tracking. Over 40% of the Fortune 100 are customers, and the company surpassed $100M in annual recurring revenue in 2022.

Labelbox $189M
Private San Francisco, United States

Data-centric AI platform providing tools for data labeling, annotation, and model training, enabling teams to build and improve machine learning and generative AI applications. The platform serves as the interface for human experts to create high-quality training data at scale, with a network of over one million domain experts through its Alignerr product.

Braintrust $124M
Private San Francisco, US

AI-native observability and evaluation platform that helps engineering and product teams evaluate, log, and monitor AI agents and large language model interactions in production. Built on a custom database optimized for massive AI trace data, the platform enables teams to run experiments against real datasets, compare prompts side-by-side, catch regressions in CI, and inspect every trace with real-time latency, cost, and quality metrics.

Investment data is compiled from multiple independent sources including company announcements, press coverage, and regulatory filings. While we strive for accuracy, amounts and dates may reflect reported figures at time of announcement.