Labelbox
The data factory for AI teams

Our Take
Labelbox calls itself "the data factory for AI teams" and that's not hyperbole—over 90 percent of leading AI labs in the US partner with them. They're the backbone for companies building frontier AI agents, handling the entire data pipeline from reinforcement learning to evaluation. Think of them as the fuel that makes AI models actually get smarter, not just generate text.
Here's what makes them different: they don't just do labeling. They build custom eval frameworks that let Fortune 500 companies measure exactly where their models stand before anyone else sees them. Private AGI benchmarks, head-to-head arena comparisons, rubric-based multimodal scoring—they're measuring what actually matters, not vanity metrics.
And the workforce behind it is absurd. 2.6 million knowledge workers across 40 countries and 200 domains. 50,000+ PhDs. 200,000+ Master's degrees. 85,000+ licensed professionals. When your model needs to learn from the best, Labelbox has the best on speed dial. They're not crowdsourcing to randoms—they've built what they call Alignerr, an elite expert network that spans the world's largest economies.
They've got robotics data too—full-stack video, trajectories, purpose-built collection hardware for embodied intelligence. If a robot needs to learn from real-world complexity, Labelbox is feeding it real-world data.
Series D. Trusted by startups and Fortune 500s. The data behind breakthroughs.
Provides data infrastructure for AI development including reinforcement learning data, expert evaluations (evals), robotics data, and the Alignerr expert network of 2.6M+ knowledge workers for annotation and evaluation tasks
Key Facts
The people behind Labelbox
Manu Sharma
profileCEO
CEO of Labelbox, focused on building AI infrastructure that powers breakthrough AI models at leading research labs and enterprises
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