AI Infrastructure

Data Labeling & Annotation

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AI Infrastructure

Data Labeling & Annotation

12 companies in this category

Scale AI logo
Labelbox logo
Snorkel AI logo
SuperAnnotate logo
Surge AI logo
V7 logo
Appen logo
Label Studio logo
Sapien logo
DatologyAI logo
Encord logo
Protege logo

About Data Labeling & Annotation

The Data Labeling & Annotation category is part of the AI Infrastructure market map, tracking 12 companies building in this segment. The picks and shovels of AI in one market map. Custom silicon, inference optimization, MLOps, vector databases, and training platforms powering the AI infrastructure stack, with funding data and company details. Curated by Hartmann Capital's venture research team.

Companies in Data Labeling & Annotation

  • Scale AISeries F, $1.6B
  • LabelboxSeries D, $189M
  • Snorkel AISeries D, $185M
  • SuperAnnotateSeries B, $51M
  • Surge AIBootstrapped
  • V7Series A, $33M
  • AppenPublic
  • Label StudioSeries A, $25M
  • SapienSeed, $5M
  • DatologyAISeries A, $46M
  • EncordSeries B, $50M
  • ProtegeSeed, $10M

Frequently Asked Questions

What companies are in the Data Labeling & Annotation category?
The Data Labeling & Annotation category includes 12 companies: Scale AI, Labelbox, Snorkel AI, SuperAnnotate, Surge AI, V7, Appen, Label Studio, Sapien, DatologyAI, Encord, Protege. This is part of the AI Infrastructure market map maintained by Hartmann Capital.
How many Data Labeling & Annotation startups are tracked?
Hartmann Capital tracks 12 companies in the Data Labeling & Annotation segment of the AI Infrastructure market map.
What are the best funded Data Labeling & Annotation companies?
Top funded companies in Data Labeling & Annotation include Scale AI ($1600M), Labelbox ($189M), Snorkel AI ($185M), SuperAnnotate ($51M), Encord ($50M). Browse the full list in the AI Infrastructure market map.
How can I submit my startup?
You can submit your startup for inclusion by visiting the submission page. Submissions are reviewed by Hartmann Capital's research team.

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