Labelbox raises more than $100 million in Series E for RL and enterprise agents
Labelbox has raised more than $100 million in Series E financing, including equity and a credit facility, to build out its reinforcement learning and enterprise agent products. The round was led by Infinitum Partners, according to the company.
- Labelbox raised more than $100 million in Series E financing, including equity and a credit facility.
- Infinitum Partners led the round, with Wipro Ventures, a16z, B Capital, Tau Ventures and Snowpoint Ventures participating.
- Funds will go to Horizon (reinforcement learning environments for AI labs) and Recursion Managed Agents (enterprise agents).
- Labelbox says it serves more than 400 customers and reached profitability in 2026 while growing more than fivefold year over year.
- Recursion Managed Agents was opened to enterprise customers earlier this month, according to the company.
Who is backing the round
Labelbox describes itself as the AI platform powering reinforcement learning for frontier models and managed agents for enterprises. The company said the Series E includes both equity and a credit facility, and totals more than $100 million.
Infinitum Partners led the round. Participants include Wipro Ventures, Andreessen Horowitz (a16z), B Capital, Tau Ventures and Snowpoint Ventures, among others.
According to Labelbox, it works with more than 400 customers, including over 90% of leading U.S. AI labs. The company also said it reached profitability in 2026 while growing more than fivefold year over year. Both figures are the company's own claims.
Two products at the center of the plan
The funding is meant to accelerate two products. The first is Horizon, which provides reinforcement learning environments, expert feedback and evaluation infrastructure for AI labs. Labelbox says these environments simulate complex, multi-step work across coding, research and other demanding tasks, so models can practice, receive feedback on their performance and improve through reinforcement learning. The company adds that it works with leading AI labs and hyperscalers on post-training programs.
The second is Recursion Managed Agents, which lets companies deploy fleets of AI agents inside the applications their teams already use. According to Labelbox, agents can start work in response to schedules, alerts, tickets and other triggers, coordinate across tools, and have their output evaluated against defined standards. Each run can feed the agent's memory, which helps it approach future tasks better.
Labelbox said it already uses more than 50 agents internally, across engineering, research, product, sales, marketing and finance. Earlier this month, it opened Recursion Managed Agents to enterprise customers, which it describes as extending its approach to continuous improvement beyond AI research labs.
What the money will fund
The Series E will support continued research and engineering across Horizon and Recursion Managed Agents, along with expansion of the teams that bring these products to customers.
Manu Sharma, CEO and co-founder of Labelbox, framed the strategy around learning from experience. "Every company will soon run on AI systems that learn from their own work," he said, adding that getting there takes innovation at every layer, from sandbox infrastructure and the agent harness to reinforcement learning post-training.
Labelbox says it combines agent infrastructure, sandbox environments and reinforcement learning post-training systems in one platform. The company aims to help both frontier labs and enterprises build systems that improve over time.
What it means for the market
The announcement points to growing demand for tooling that goes beyond training data, toward environments where models practice tasks and agents that improve with use. Labelbox is positioning itself on both sides: supplying frontier labs with reinforcement learning infrastructure, and offering enterprises managed agents that operate inside their existing software.
For enterprise buyers, the opening of Recursion Managed Agents to customers is the most direct change. The source does not give pricing or availability details beyond that, so how widely the product will roll out remains to be seen.
