Labelbox
Data infrastructure for post-training and AI evaluation

Labelbox provides infrastructure for preparing and evaluating AI training data. It combines data collection, annotation, and quality control—essential for training foundation models and fine-tuning AI systems at scale. The platform integrates human expertise with AI-powered workflows to streamline the labeling process and ensure consistency across millions of examples.
Highlights
- Reinforcement learning environments and preference signals for post-training
- Robotics-focused data stack with video and multimodal annotations
- Access to 2.6M+ human experts for large-scale labeling and evaluation
- Used by 90% of U.S. leading AI labs and major enterprises
- Enterprise platform for building and training specialist AI agents
Labelbox serves AI research teams, ML engineers, and enterprises building frontier models. Pricing starts with a free tier for teams just getting started; larger deployments and specialized features require contact with their sales team.
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