What is Labelbox
Labelbox positions itself as the «data factory for AI teams». It helps create high-quality training and evaluation data for the most ambitious artificial intelligence projects. According to the website, the company partners with over 80% of leading AI labs in the US.
Core Capabilities
The platform offers four main pillars:
- Data for reinforcement learning — large-scale post-training data including reward signals, preference pairs, expert-crafted rubrics for coding, science and finance, tuned environments, and complex multimodal, long-horizon tasks.
- Evals — comprehensive model evaluation suite featuring private AGI benchmarks, arena evals with human preference judgments, and structured rubric-based multimodal scoring across text, vision, and reasoning.
- Robotics — full-stack data for embodied intelligence: video, trajectories, rich multimodal annotations, purpose-built hardware for rapid data collection, and an AI-powered diversity engine.
- Alignerr expert network — access to 1.5M+ knowledge workers, including 50K+ PhDs and 200K+ Master’s degree holders across 40+ countries and 200+ domains.
Research & Innovation
Labelbox Research team publishes frontier work on data generation and evaluation methods. Recent papers include EchoChain (audio benchmark for full-duplex dialogue reasoning), Implicit intelligence, and Intent laundering — research addressing current limitations in AI safety datasets.
Who uses Labelbox
The platform is trusted by startups and Fortune 500 companies alike. It is particularly valuable for teams developing frontier models, reinforcement learning systems, robotics, and robust model evaluation frameworks.
Users can start for free, book a demo, or choose paid plans with advanced features and API access.
