Labelbox

Name: Labelbox
Brand: Labelbox
Rating: 4.4 (50 reviews)

Leader

The data factory for leading AI teams

Est 2018|Valuation $810M|Raised $188.9M|35 Ref Customers

LinkedIn 38K|Web traffic 859K|FTEs 449|HQ San Francisco, California, US

MarketsData Science & Machine Learning Platforms Data Labeling Machine Learning Ops (MLOps)

01Competitive Landscape

Narrative analysis

Labelbox vs Scale AI (competitor perspective): - The vendor publishes comparison materials that position different vendor approaches; these materials are vendor-created and should not be treated as neutral evaluations. - Enterprise buyers should consider vendor neutrality and potential conflicts of interest when evaluating managed data providers. Press coverage has discussed market events and competitive reactions as context for procurement. Labelbox vs SuperAnnotate / V7 Darwin (platform-first competitors): - SuperAnnotate and V7 position as platform-centric labeling solutions and are typically quote-based at scale. - V7 publicly references SOC 2 Type II and ISO 27001 on its site; Labelbox references SOC 2 Type II and cites ISO 27001 as an informing standard but does not prominently publish ISO 27001 certification status in the captured materials. Pricing transparency: - Labelbox provides a feature matrix and a free tier but does not disclose list-price dollars. - V7 and SuperAnnotate also primarily use quote-based pricing for business tiers. - Some smaller vendors publish list pricing which can be useful for budget-constrained teams. Market adoption trends (directional): - Labelbox appears to be expanding its positioning toward LLM evaluation and post-training data services in addition to classic computer vision annotation.

	Labelbox	SuperAnnotate	V7 Darwin
Starting Price	Free tier available; paid tier not publicly priced	Pricing is largely quote-based / sales-led	Custom quote / sales-led; pricing based on platform, users, and processing
Recommended use case	Teams needing an end-to-end data platform plus optional managed services (LLM evaluations and labeling)	Teams wanting a dedicated annotation platform and workflow management; often strong for structured CV programs	Teams emphasizing visual labeling and enterprise governance and compliance
Key Strength	Free tier to start; multimodal evaluation and labeling positioning; references SOC 2 Type II and a focus on cloud integrations and SDKs	Annotation/editor breadth and project management focus; established in labeling tooling space	Security and compliance posture is emphasized; references SOC 2 Type II and ISO 27001 in public materials
Key Weakness	Public pricing lacks dollar figures; some reports of slowness/learning curve; contractor-side reputation risk when using managed workforce	Sales-led pricing for scaling; may require evaluation for LLM evaluation workflows versus pure labeling	Sales-led pricing; may be more CV-centric depending on the use case

01Competitive Landscape

Narrative analysis

Labelbox vs Scale AI (competitor perspective):

The vendor publishes comparison materials that position different vendor approaches; these materials are vendor-created and should not be treated as neutral evaluations.
Enterprise buyers should consider vendor neutrality and potential conflicts of interest when evaluating managed data providers. Press coverage has discussed market events and competitive reactions as context for procurement.

Labelbox vs SuperAnnotate / V7 Darwin (platform-first competitors):

SuperAnnotate and V7 position as platform-centric labeling solutions and are typically quote-based at scale.
V7 publicly references SOC 2 Type II and ISO 27001 on its site; Labelbox references SOC 2 Type II and cites ISO 27001 as an informing standard but does not prominently publish ISO 27001 certification status in the captured materials.

Pricing transparency:

Labelbox provides a feature matrix and a free tier but does not disclose list-price dollars.
V7 and SuperAnnotate also primarily use quote-based pricing for business tiers.
Some smaller vendors publish list pricing which can be useful for budget-constrained teams.

Market adoption trends (directional):

Labelbox appears to be expanding its positioning toward LLM evaluation and post-training data services in addition to classic computer vision annotation.

	Labelbox	SuperAnnotate	V7 Darwin
Starting Price	Free tier available; paid tier not publicly priced	Pricing is largely quote-based / sales-led	Custom quote / sales-led; pricing based on platform, users, and processing
Recommended use case	Teams needing an end-to-end data platform plus optional managed services (LLM evaluations and labeling)	Teams wanting a dedicated annotation platform and workflow management; often strong for structured CV programs	Teams emphasizing visual labeling and enterprise governance and compliance
Key Strength	Free tier to start; multimodal evaluation and labeling positioning; references SOC 2 Type II and a focus on cloud integrations and SDKs	Annotation/editor breadth and project management focus; established in labeling tooling space	Security and compliance posture is emphasized; references SOC 2 Type II and ISO 27001 in public materials
Key Weakness	Public pricing lacks dollar figures; some reports of slowness/learning curve; contractor-side reputation risk when using managed workforce	Sales-led pricing for scaling; may require evaluation for LLM evaluation workflows versus pure labeling	Sales-led pricing; may be more CV-centric depending on the use case