Labelbox
Data engine and RL environments for training and evaluating AI models
- Pricing
- enterprise
- From
- See site
- Free tier
- No
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Best for
AI labs and enterprises that need labeled data, RL environments, or managed agent fleets for training and evaluating models.
What it is
Labelbox provides data labeling, RL environments, and evaluation infrastructure used by AI labs and enterprises to train and post-train models. Its products include Horizon for RL environments and preference signals, Terra for robotics data, Alignerr for expert human grounding data, and Recursion, a managed agent platform that runs fleets of agents on enterprise work. It is aimed at frontier AI labs, robotics teams, and enterprises building or running AI agents.
Best forAI labs and enterprises that need labeled data, RL environments, or managed agent fleets for training and evaluating models.
Features
Horizon
RL environments and preference signals for post-training and evals covering reasoning, tool use, and computer use.
Terra
Data products for robotics foundation models, including video, trajectories, and multimodal annotations.
Alignerr
Access to a network of 2.6M+ knowledge experts for human grounding and reward signals.
Recursion
Managed agent platform where a coordinator plans a goal and spawns specialist agents that run in parallel across enterprise systems.
Graded run memory
Graded sessions become memories, notes, and skills that later agents recall before acting.
Fine-tuning from fleet runs
Graded agent runs can be turned into fine-tuning and RL on Labelbox Horizon.
Data annotation and QA
Prompt creation, structured scoring criteria, review, annotation, and quality assurance services.
Labelbox supplies training data, RL environments, and a managed agent platform for frontier AI labs and enterprises.
Pros
- •Homepage states over 90% of leading US AI labs use Labelbox's RL environments.
- •Alignerr network is stated as 2.6M+ knowledge experts.
- •Recursion runs agents across systems including GitHub, Notion, Slack, and Docs.
- •Case study describes Meta's GIM benchmark built on Labelbox data with 820 expert-authored problems.
Cons
- •No pricing information is available on the pricing page.
- •No free plan details are given beyond a "Start for free" button.
- •Recursion, Horizon, Terra, and Alignerr are described at a high level with no published usage limits.
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