Analysis
Labelbox has raised more than $100 million in Series E financing, combining equity and a credit facility, the company announced on October 14. Infinitum Partners led the round, joined by Wipro Ventures, Andreessen Horowitz, B Capital, Tau Ventures, Snowpoint Ventures and others.
What Labelbox does now
Labelbox started as a data-labeling platform and has repositioned around reinforcement learning: it builds what it calls RL data factories for frontier AI labs, generating the human-feedback and verification data labs use to train and align frontier models, plus tools for deploying AI agents inside large enterprises. The company says it now works with more than 400 customers, including over 90% of leading U.S. AI labs, and that it reached profitability in 2026 while growing revenue more than fivefold year over year -- a profitability claim that stands out in a funding environment where most AI-adjacent companies are still burning cash to chase growth.
“The company says it now works with more than 400 customers, including over 90% of leading U.S.”
Competitive landscape
Labelbox competes most directly with Scale AI, which built a similar business supplying labeled and RL training data to frontier labs before taking Meta's $14.3 billion investment in 2024, and with Surge AI, which has scaled a similar RLHF-data business with reported revenue in the billions without raising outside venture capital at all. Labelbox's pitch of internal agent adoption -- it says it now runs more than 50 of its own AI agents across engineering, research, product, sales, marketing and finance -- is meant to differentiate it as a company that uses what it sells, not just a data-labeling vendor riding the AI wave.
Labelbox's last widely reported round was a $110 million Series D in January 2022, a very different market for AI-infrastructure funding. This new raise -- smaller in headline size but paired with a profitability claim -- suggests Labelbox is optimizing for efficiency rather than chasing the mega-rounds that have gone to compute-heavy AI infrastructure companies. For a company selling services into frontier labs rather than building its own models, profitability this early is the more durable signal than valuation.
Labelbox didn't disclose a valuation alongside this round, and whether its claimed 90% penetration of leading U.S. AI labs holds as more labs build in-house RL teams is the open question that will decide if this round ages well.