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Labelbox Raises $100M+ Series E

Labelbox raises $100 million in Series E funding led by Infinitum Partners to advance its reinforcement learning and enterprise AI agent technology.

Ben Murray profile image
by Ben Murray
Labelbox Raises $100M+ Series E

Labelbox Raises $100M+ Series E

Labelbox, a San Francisco-based AI platform specializing in reinforcement learning and managed agent infrastructure, has raised over $100 million in Series E funding. The financing, which includes both equity and a credit facility, supports the company as it advances its core technologies for AI labs and enterprise users.

Investors

The round was led by Infinitum Partners, with participation from Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures, and Snowpoint Ventures.

Labelbox Use of Funds

The company plans to use the new capital to accelerate the development of its Horizon product, which supports reinforcement learning for frontier models, and its Recursion Managed Agents platform. Additionally, the funding will support expanded research and engineering efforts and the growth of the teams responsible for these products.

About Labelbox

Founded to help AI systems learn and perform real work, Labelbox provides infrastructure for data, reinforcement learning, and managed agents. The platform serves more than 400 customers, including major AI labs, hyperscalers, and Fortune 500 enterprises, providing tools to build and deploy AI that improves through experience.

Funding Details

Company Website: https://labelbox.com

Company: Labelbox
Raised: $100M
Round: Series E
Funding Date: October 14, 2026
Lead Investor: Infinitum Partners
Additional Investors: Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures, Snowpoint Ventures
Company Website: https://labelbox.com
Software Category: Artificial Intelligence
Source: https://www.prnewswire.com/news-releases/labelbox-raises-100-million-in-series-e-funding-to-advance-reinforcement-learning-and-enterprise-ai-agents-302909147.html

Ben Murray profile image
by Ben Murray

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