Labelbox Raises $100M+ at $1.25B Pre-Money After 5x+ Growth

Labelbox, which builds training data, reinforcement learning environments and managed agents for AI developers and enterprises, said on 14 October 2026 that it has raised more than $100 million in Series E financing, including equity and a credit facility, at a $1.25 billion pre-money valuation.

The round is led by Infinitum Partners, with participation from Wipro Ventures, a16z, B Capital, Tau Ventures, Snowpoint Ventures and others, the company’s blog post says. Labelbox also says it reached profitability this year while growing more than 5x year over year.

What Labelbox Announced

The post lists four headline figures: $100M+ in Series E financing led by Infinitum Partners, a $1.25B pre-money valuation, 400+ customers that build with Labelbox, and 90%+ of leading US AI labs working with the company.

In the body, Labelbox puts the lab figure slightly differently: it says it now works with 90% of the leading frontier AI labs and hyperscalers, through its Horizon product.

It does not say how much of the $100 million-plus is equity and how much is the credit facility.

Three Products, One Loop

Labelbox describes its history as three chapters. The first was software to capture expert judgment and turn it into training data, which it says many leading tech companies use for enterprise-wide post-training programs.

The second is Horizon, reinforcement learning environments that it says frontier labs use to train their models on tasks built to mirror the full range of real work.

The third is Recursion Managed Agents, which the post says Labelbox opened to every team last week. It says more than 50 such agents already do real work inside Labelbox, across engineering, research, product, sales, marketing and finance.

The company links the two newer products by the same mechanism: a model or agent attempts a task, a grader scores it, and the result feeds the next run. The post says the field calls this recursive self-improvement.

What Labelbox Says It Owns

Labelbox says it builds every layer itself: its own agent harness designed for ultra-long-horizon agents, sandbox infrastructure that runs millions of VMs, its own reinforcement learning post-training infrastructure, and an expert network of more than 4 million people.

On the use of the money, the post says Labelbox plans more research and engineering behind Horizon and Recursion, and more people to bring both to customers. It says access to compute will be central to the next chapter.

It notes that Infinitum’s John Yetimoglu was an early investor in Groq and is now involved in building large-scale compute infrastructure at GroqCloud.

The Structural Read

As we read it, the credit facility matters as much as the valuation: the post says the round includes equity and a credit facility but does not split them.

As we read it, profitability is the unusual claim for an AI infrastructure company raising at this stage: the post says Labelbox reached it this year while growing more than 5x year over year.

As we read it, compute is the next constraint the company names: the post says access to compute will be central to the next chapter, and points to Infinitum’s link to GroqCloud.

Three Implications

FRONTIER LABS Labelbox says 90% of the leading frontier AI labs and hyperscalers work with it through Horizon RL environments.

ENTERPRISES The post says Recursion Managed Agents opened to every team last week, with more than 50 running inside Labelbox.

INVESTORS The post gives a $1.25 billion pre-money valuation but no revenue, post-money figure or equity/credit split.

The Business Engineer Lens

This story maps onto the Business Engineer framework The Four Intelligence Moats.

The framework puts it this way: “The Verifier Moat — built by RLVR on domain-specific reward signals, building into a new asset class for reasoning-heavy verticals.”

As we read it, Labelbox is pitching itself as a supplier of that asset: its post describes verifiers that decide what is correct and experts who decide what is good, at the scale post-training needs.

What Is Not Established

The post gives no revenue figure and no post-money valuation, and it does not split the round between equity and the credit facility. It does not name the frontier labs or hyperscalers it works with, or define which labs count as leading.

Profitability and the more-than-5x growth figure are the company’s own statements, with no period or measure given beyond year over year.

The Bottom Line

Labelbox says it raised more than $100 million in Series E financing, equity plus a credit facility, at a $1.25 billion pre-money valuation, led by Infinitum Partners. It says it is profitable this year, grew more than 5x year over year and works with 90% of the leading frontier AI labs and hyperscalers.