What It Does
Labelbox is a data-centric AI platform that helps teams create, manage, and improve training data. It provides labeling tools, workforce management, model-assisted labeling, and data curation for building better AI models.
Key Features
- Multi-modal labeling — annotate images, video, text, documents, geospatial
- Model-assisted labeling — AI pre-labels to speed human review
- Workforce management — coordinate internal and external labelers
- Catalog — curate and find the right data for training
- Active learning — identify what to label next for maximum model improvement
- Evaluation — benchmark model performance on labeled datasets
- Integrations — connect to cloud storage, ML platforms, and pipelines
Pricing Breakdown
| Tier | Price | Features |
|---|---|---|
| Free | $0 | Limited seats and labels |
| Growth | Custom | Full platform, support |
| Enterprise | Custom | SSO, compliance, SLA |
Who It’s For
ML teams managing their own labeling workflows, enterprises building computer vision or NLP models, and organizations needing more control over data quality than outsourced labeling provides.
Competitive Position
Labelbox differentiates from Scale AI by offering a platform (self-serve tools) rather than a service (Scale does the labeling for you). This gives teams more control and often lower cost at scale. Stronger for teams with internal labeling capacity who need workflow tools. Less suited for organizations that want fully outsourced data labeling.