Labelbox Raises $100M+ Series E at $1.25B Valuation to Advance RL and AI Agents

Labelbox has closed a Series E funding round of over $100 million at a $1.25 billion valuation, with the stated focus on expanding capabilities in reinforcement learning and AI agent training infrastructure. As RL-based training becomes central to frontier model development — powering RLHF, RLAIF, and agentic self-improvement loops — data labeling and feedback platforms like Labelbox become increasingly critical infrastructure. This funding positions Labelbox to compete more directly with Scale AI and other data-centric AI infrastructure providers at the enterprise level. For developers and ML teams, this signals continued investment in the tooling layer that sits between raw data and production model quality. The RL and agents focus also reflects where the industry sees the next major training paradigm shift heading.