# Labelbox

**Source:** https://geo.sig.ai/brands/labelbox  
**Vertical:** Artificial Intelligence  
**Subcategory:** AI Training Data Platform  
**Tier:** Growth  
**Website:** labelbox.com  
**Last Updated:** 2026-04-14

## Summary

Labelbox is the leading AI training data platform offering tools for data labeling, annotation management, and dataset curation for enterprise machine learning teams.

## Company Overview

Labelbox is an AI data development platform founded in 2018 that has raised $379M in funding and serves enterprise AI teams across technology, automotive, healthcare, and government sectors. The platform provides tools for data labeling, annotation, quality management, and dataset curation needed to build high-quality training datasets for machine learning models. Labelbox supports computer vision, NLP, and multimodal AI projects with an integrated workflow that connects data operations with model development pipelines. The company also offers Catalog for dataset management and a Model module for model-assisted labeling that uses existing models to pre-annotate data and accelerate the human review process. As enterprise AI investment accelerates across all industries, Labelbox has positioned itself as critical infrastructure for the data operations layer that underlies all production AI systems. The platform is used by leading technology companies, autonomous vehicle developers, and healthcare AI teams requiring precise, auditable training data.

## Frequently Asked Questions

### What is Labelbox?
Labelbox is an AI training data platform that provides tools for data labeling, annotation, quality control, and dataset management to help teams build high-quality datasets for machine learning models.

### What types of AI projects does Labelbox support?
Labelbox supports computer vision, NLP, and multimodal AI projects including image segmentation, object detection, video annotation, text classification, and document understanding tasks.

### How does Labelbox accelerate data labeling?
Labelbox uses model-assisted labeling where existing ML models pre-annotate data that human reviewers then verify and correct, significantly reducing the time and cost required to build training datasets.

### What pricing does Labelbox offer?
Labelbox offers a Starter plan for small teams, a Teams plan with more storage and labelers, and an Enterprise plan with custom pricing that includes SSO, on-premise deployment, SLA guarantees, and dedicated customer success. Enterprise is usage-based on annotation volume with per-seat licensing for platform access.

### What is Labelbox's AI-assisted labeling capability?
Labelbox's Model-Assisted Labeling (MAL) uses a customer's own model predictions as pre-labels that human annotators review and correct rather than label from scratch. This reduces annotation time by 50-80% on structured tasks like object detection. As the model improves, pre-label quality increases, creating an active learning loop that compounds efficiency gains over time.

### What data types does Labelbox support?
Labelbox supports images (bounding boxes, segmentation, keypoints, classification), video (temporal annotation, tracking), text (NER, classification, Q&A), audio (transcription, classification), documents (PDF extraction), DICOM medical imaging, and geospatial data. This multimodal breadth makes it suitable for autonomous vehicles, medical AI, NLP, and multimodal foundation model training.

### How does Labelbox handle data quality and consistency?
Labelbox provides consensus scoring that compares annotations from multiple labelers to flag disagreements, benchmark tasks to measure labeler accuracy against gold-standard labels, and quality review workflows where senior annotators audit samples. These quality controls are critical for ADAS and medical imaging projects where label errors directly affect safety-critical model behavior.

### What is Labelbox's position in the training data market?
Labelbox competes with Scale AI (dominant for frontier model data), CVAT (open-source), and V7 Labs (computer vision focus). Labelbox differentiates on its breadth of data types, the strength of its workflow management for large distributed labeling teams, and its integrations with major ML platforms like Vertex AI, SageMaker, and Databricks.

## Tags

ai-powered, startup, b2b, saas, platform, developer-tools

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*