Products/AI Data Infrastructure / Data Platform/Labelbox

Labelbox

The data factory for AI teams

AI Data Infrastructure / Data PlatformSan Francisco, United StatesFounded 2018Raised $189M
Labelbox

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 Features
Data for reinforcement learning with knowledge work rubrics, Tuned environments calibrated for optimal reward gradients, High-value domains for multimodal, long-horizon tasks, scientific coding, Private AGI benchmarks for custom frontier capability assessments, Arena evals for head-to-head model comparisons, Rubric-based multimodal evaluations across text, vision, reasoning, Robotics data with video, trajectories, and multimodal annotations, Full-stack robotics data collection infrastructure, Alignerr expert network with 2.6M+ knowledge workers across 40+ countries, Enterprise platform with annotation tools, workflow automation, quality control
Problem It Solves
AI models require high-quality training data at scale — Labelbox provides the data factory infrastructure for frontier AI labs to create, manage, and scale training data for reinforcement learning, evaluations, and robotics applications
Target Customer
Leading AI labs, AI research teams, Fortune 500 companies, enterprises building AI/ML products
Use Cases
Reinforcement learning post-training at scale, AI model evaluation and benchmarking, Frontier model comparison and ranking, Robotics and embodied intelligence training, Custom AGI benchmark creation, Expert human annotation at scale, Knowledge work evaluation (coding, science, finance)
Differentiator
Partner with over 90% of leading AI labs in the US; only company offering three integrated solutions (Frontier RL data, Expert network, Enterprise platform); pioneering data-centric AI since 2018
Why Now
AI models becoming more sophisticated require higher-quality specialized training data; frontier AI development needs precise reward signals, custom evaluations, and real-world robotics data to achieve AGI breakthroughs
Traction
Customers Mentioned: Leading AI labs in the US, Fortune 500 companies, Startups · Notable Metrics: $189M funding to date; 2.6M+ knowledge workers in Alignerr network; 40+ countries; 200+ domains; 50K+ PhDs; 200K+ Master's degrees; 85K+ licensed professionals · Press Mentions: CVPR, NeurIPS

Key Facts

Category
AI Data Infrastructure / Data Platform
Location
San Francisco, United States
Founded
2018
Raised
$189M
Discovered via
newsletter:Wellfound

The people behind Labelbox

M

Manu Sharma

profile

CEO

CEO of Labelbox, focused on building AI infrastructure that powers breakthrough AI models at leading research labs and enterprises

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Labelbox — SLAYREPORT