Labelbox: Funding, Investors & Team (Oct 2026)

Labelbox is a collaborative data training platform that creates and manages labeled data for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox's platform acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. This solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, the company's main product makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications. It is backed by investor B Capital Group, Andreessen Horowitz, First Spherical Capital, and Kleiner Perkins. The San Francisco, California-based company was founded in 2017 by Brian Rieger, Daniel Rasmuson, and Manu Sharma.

Labelbox has raised $250M across 3 rounds on record. The most recent is a Series E of $100M announced in Oct 2026.

Labelbox's most recent funding round on record is a Series E of $100M, announced in Oct 2026.

Investors on record for Labelbox include Andreessen Horowitz, B Capital, First Round Capital, Kleiner Perkins, Gradient. FundedIQ records 15 investors in total.

FundedIQ lists Brian Rieger (Co-Founder & COO) at Labelbox.

Manu Sharma is listed as CEO at Labelbox.

Labelbox is based in San Francisco, California, United States.

Labelbox is in the 101-250 employee band.

Labelbox was founded in 2018.

Labelbox's latest round of $100M is above the $6.0M median round size for Artificial Intelligence companies on FundedIQ across 7,243 tracked companies over the last two years.