Labelbox
AI-assisted data labeling and evaluation platform for training frontier models.
About
Labelbox is a data-centric AI platform for labeling, curating, and evaluating the training data behind frontier models. It combines AI-assisted labeling with workflow management, model-assisted review, and a dedicated Evaluation Studio launched in August 2025 for RLHF and LLM eval workflows. It is a unicorn with over $1 billion valuation and $189 million raised, and claims more than 80% of top US AI labs use it.
A free tier covers 30 users and 50 projects, making it approachable for smaller teams, with paid plans scaling to enterprise data operations.
Usage-based pricing can get expensive quickly at production data volumes, and the most powerful automation features sit on paid tiers. Customer-share claims are vendor-reported.
What it can do
- AI-assisted data labeling and annotation
- Model-assisted review and consensus workflows
- LLM evaluation studio for RLHF and evals
- Data curation and dataset management
Setup
Create a free account at labelbox.com; paid plans unlock higher volume and advanced workflows.
Prerequisites
Training data to label or evaluate; a Labelbox account.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 72; Trending score 88/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.