Labelbox Raises $100M+ in Series E Funding Led by Infinitum Partners
Oct 15, 2026 | By Devin Jacobs
SUMMARY
- Labelbox raised over $100 million in Series E funding.
- The funds will support growth and product development.
- Labelbox helps businesses train AI models and build AI agents.
Labelbox, a San Francisco, CA-based provider of an AI platform empowering reinforcement learning for frontier models and managed agents for enterprises, has raised $100 Million+ in a Series E financing, including equity and a credit facility.
The round was led by Infinitum Partners with participation from Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures, Snowpoint Ventures and others.
The company will use the funding to support research and engineering for its Horizon and Recursion Managed Agents products and expand the teams responsible for bringing these products to customers.
What is Labelbox?
Labelbox develops AI infrastructure and tools that help AI models learn from experience and perform tasks in real-world environments.
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Its platform combines agent infrastructure, sandbox environments, and reinforcement learning systems to help AI research labs train advanced models and businesses deploy AI agents across their operations.
Horizon provides training environments, expert feedback, and evaluation tools that help AI labs improve models through reinforcement learning. These environments allow models to practise complex tasks, including coding and research, receive feedback, and improve their performance.
Recursion Managed Agents helps businesses deploy groups of AI agents within the applications their teams already use. These agents can respond to schedules, alerts, and tickets, coordinate across tools, and evaluate their work against defined standards.
How Much Funding Has Labelbox Raised?
Labelbox has raised more than $100 million in its latest Series E funding round, which includes equity and a credit facility.
The source does not provide details of previous funding rounds or the company's total funding raised to date.
Who Invested in Labelbox’s Series E?
The Series E round was led by Infinitum Partners.
Other participating investors include:
- Wipro Ventures
- Andreessen Horowitz (a16z)
- B Capital
- Tau Ventures
- Snowpoint Ventures
- Other investors
Why the Funding Matters
Labelbox will use the funding to continue research and engineering for Horizon and Recursion Managed Agents.
The company also plans to expand the teams responsible for delivering these products to customers. The investment will support its work with AI research labs developing advanced models and enterprises adopting AI agents for business operations.
Who founded Labelbox?
Labelbox was founded in 2018 by Manu Sharma and Brian Rieger. The company is headquartered in San Francisco, California.
"Every company will soon run on AI systems that learn from their own work. Getting there takes innovation at every layer, from sandbox infrastructure and the agent harness to reinforcement learning post-training. Labelbox brings those layers together in one platform, and this funding lets us push each one further, so that frontier labs and enterprises can build AI that gets better with every run," said Manu Sharma, CEO and co-founder of Labelbox.
Market and Business Growth
Labelbox serves more than 400 customers, including AI research labs, hyperscalers, startups, and Fortune 500 companies.
The company also uses more than 50 AI agents internally across engineering, research, product, sales, marketing, and finance.
Earlier this month, Labelbox opened Recursion Managed Agents to enterprise customers, extending its AI agent offering beyond research labs to businesses.
Its Horizon product supports AI model training and evaluation, while Recursion Managed Agents enables companies to deploy AI agents across existing business applications.
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What Happens Next?
Labelbox plans to continue developing Horizon and Recursion Managed Agents and expand the teams bringing these products to customers.
The company will focus on helping AI labs improve advanced models and enabling enterprises to deploy AI agents that learn from their work and improve over time.
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