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Labelbox

Enterprise-grade data labeling platform for scalable AI data pipelines.

Venture Funded$150M+Series CBessemer Venture PartnersAmplify PartnersCostanoa Ventures
data labelingmachine learningdata annotationAI training data
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About

Labelbox provides a comprehensive platform to manage, label, and curate training data at scale, enabling enterprises to accelerate AI development with robust data governance and compliance. It supports secure collaboration and integrates with existing ML workflows to ensure high-quality datasets while meeting industry standards for data privacy and security.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Labelbox’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2018 · Series C

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Enterprise Use Cases

Autonomous vehicle data labeling
Medical imaging annotation
Retail product tagging
Satellite imagery analysis
Natural language processing data preparation
Quality assurance for AI datasets

Integrations

AWS S3Google Cloud StorageAzure Blob StorageTensorFlowPyTorchSnowflakeDatabricksLabel Studio

How Labelbox compares

ToolReadinessPricingDeploymentComplianceIntegrations
LabelboxNot scoredEnterpriseCloud, On-Premise, Hybrid8
AirbyteNot scoredFreemiumCloud, On-Premise, Hybrid, Self-Hosted8
Astronomer Astro70 · StrongEnterpriseCloud, On-Premise, Hybrid, Self-Hosted8
Elastic AI70 · StrongEnterpriseCloud, On-Premise, Hybrid, Self-Hosted8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Labelbox used for?

Labelbox is enterprise-grade data labeling platform for scalable AI data pipelines. It is commonly used for autonomous vehicle data labeling, medical imaging annotation, retail product tagging, and satellite imagery analysis.

Is Labelbox free, and how is it priced?

Labelbox uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Labelbox be deployed?

Labelbox supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Labelbox integrate with?

Labelbox documents 8 integrations, including AWS S3, Google Cloud Storage, Azure Blob Storage, TensorFlow, PyTorch, and Snowflake.

When was Labelbox founded?

Labelbox was founded in 2018 and has raised $150M+ in funding.

Is Labelbox enterprise-ready?

Based on cataloged data, Labelbox has an Enterprise Readiness score of 68/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise
DeploymentCloud, On-Premise, Hybrid
Founded2018
Funding$150M+
CategoryData & MLOps

Procurement

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