Labelbox, a San Francisco-based leading training data platform for enterprise machine learning applications, announced the closing of a $110 million Series D funding to accelerate the development and distribution of our AI training data platform.
The round was led by SoftBank’s Vision Fund 2, with participation from Snowpoint Ventures and Databricks Ventures with previous investors B Capital Group, Andreessen Horowitz, and Catherine Wood, CEO, and founder of ARK Invest. To date, Labelbox has raised $189 million in venture funding.
Company: Labelbox, Inc
Round: Series D
Funding Month: January 2022
Lead Investors: SoftBank’s Vision Fund 2
Additional Investors: Snowpoint Ventures, Databricks Ventures, B Capital Group, Andreessen Horowitz, and Catherine Wood
Company Website: https://labelbox.com/
Software Category: AI training data platform
About the Company: Founded in 2018 and based in San Francisco, Labelbox is the world’s leading training data platform for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools, Labelbox created the world’s first collaborative training data platform that acts as a command center for data scientists to collaborate with dispersed annotation teams. Better ways to manage data lead to higher quality training data, more accurate machine-learning models, and faster iterations to drive business growth. Labelbox is currently being used by industries as diverse as agriculture, insurance, healthcare, media, and military intelligence with customers that include ArcelorMittal, Chegg, Genentech, and Warner Brothers.