Labelbox raises more than $100M in a Series E for reinforcement-learning data and agents
Infinitum Partners led the round, which mixes equity and a credit facility. Labelbox says it turned profitable in 2026 and grew more than fivefold year over year.
Labelbox announced on October 14 that it has raised more than $100 million in Series E financing, "including equity and a credit facility." Infinitum Partners led the round, with Wipro Ventures, Andreessen Horowitz, B Capital, Tau Ventures and Snowpoint Ventures taking part. The release does not give a valuation or say how the total splits between equity and debt.
What the money is for
Labelbox says it "reached profitability in 2026 while growing more than fivefold year over year" and works with more than 400 customers, "including over 90% of leading U.S. AI labs." The funding goes to two products. Horizon supplies reinforcement-learning environments, expert feedback and evaluation infrastructure that labs use to train frontier models. Recursion Managed Agents, opened to enterprise customers earlier in October, runs fleets of agents inside the applications a company's teams already use.
Why it matters
Much of what frontier labs now buy is evaluation and training environments, not raw labeled data. The same idea applies to your own agents at a smaller scale: an agent that is measured against a fixed set of real tasks after every change is one you can tell is getting better, and one that isn't measured is a guess.