Labelbox Closes $100M+ to Scale RL and AI Agents

The big picture: Labelbox, an AI platform specializing in reinforcement learning for frontier models and managed agents for enterprises, has closed over $100 million in Series E financing. The round, which included both equity and a credit facility, was led by Infinitum Partners with participation from Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures, Snowpoint Ventures, and others. Labelbox works with more than 400 customers, including over 90% of leading U.S. AI labs, and reached profitability in 2026 while growing more than fivefold year over year. Learn more at Labelbox.com.

Why it matters:

• Evolving AI capabilities: As AI models tackle increasingly complex tasks, the next frontier is enabling them to learn from experience and reliably execute work in real-world environments. Labelbox directly addresses this by providing the necessary infrastructure.
• Enterprise agent deployment: The company’s Recursion Managed Agents product allows enterprises to deploy fleets of AI agents within existing business applications, enabling them to improve continuously with every operation.
• Frontier model advancement: Labelbox’s Horizon product offers reinforcement learning environments and evaluation infrastructure crucial for frontier AI labs to train and refine their most advanced models.

How it works:

• Horizon for RL: Horizon provides simulated environments, expert feedback, and evaluation tools that enable AI labs to train and improve frontier models through reinforcement learning, simulating complex, multi-step tasks like coding and research.
• Recursion Managed Agents: This platform allows companies to integrate AI agents into their existing applications, where agents can initiate tasks based on triggers, coordinate across tools, and have their output evaluated against defined standards, with each run informing future improvements.
• Internal application: Labelbox itself leverages more than 50 internal AI agents across various functions, including engineering, research, product, sales, marketing, and finance, demonstrating the practical application of its continuous improvement approach.

The catch: The market for AI agent platforms and reinforcement learning infrastructure is rapidly evolving and highly competitive. Both startups and established tech giants are vying for market share, making differentiation and rapid innovation critical. Ensuring AI agents reliably execute complex, multi-step tasks in diverse real-world enterprise environments presents significant technical and integration challenges that require continuous development and robust evaluation.

Key Facts

• Company: Labelbox
• Amount: $100M+
• Round: Series E
• Investors: Infinitum Partners (lead), Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures, Snowpoint Ventures
• Founder: Manu Sharma
• Announced: 2026-10-15
• Sector: AI Agent Platform, Reinforcement Learning Infrastructure