AI Data Labeling & Annotation

Data Quality & Curation

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AI Data Labeling & Annotation

Data Quality & Curation

12 companies in this category

Snorkel AI logo
Cleanlab logo
Argilla logo
Activeloop logo
Voxel51 logo
Dataloop logo
Lightly AI logo
DatologyAI logo
Galileo AI logo
Anomalo logo
Deepchecks logo
Nexdata logo

About Data Quality & Curation

The Data Quality & Curation category is part of the AI Data Labeling & Annotation market map, tracking 12 companies building in this segment. Annotation platforms, synthetic data generators, RLHF pipelines, and data curation tools powering the training data supply chain behind every AI model. Curated by Hartmann Capital's venture research team.

Companies in Data Quality & Curation

  • Snorkel AISeries D, $238M
  • CleanlabAcquired, $30M
  • ArgillaAcquired, $14M
  • ActiveloopSeed, $9M
  • Voxel51Series A, $23M
  • DataloopSeries B, $31M
  • Lightly AISeries A, $17M
  • DatologyAISeries A, $57.6M
  • Galileo AISeries B, $68M
  • AnomaloSeries B, $82M
  • DeepchecksSeed, $14M
  • NexdataPrivate

Frequently Asked Questions

What companies are in the Data Quality & Curation category?
The Data Quality & Curation category includes 12 companies: Snorkel AI, Cleanlab, Argilla, Activeloop, Voxel51, Dataloop, Lightly AI, DatologyAI, Galileo AI, Anomalo, Deepchecks, Nexdata. This is part of the AI Data Labeling & Annotation market map maintained by Hartmann Capital.
How many Data Quality & Curation startups are tracked?
Hartmann Capital tracks 12 companies in the Data Quality & Curation segment of the AI Data Labeling & Annotation market map.
What are the best funded Data Quality & Curation companies?
Top funded companies in Data Quality & Curation include Snorkel AI ($238M), Anomalo ($82M), Galileo AI ($68M), DatologyAI ($57.6M), Dataloop ($31M). Browse the full list in the AI Data Labeling & Annotation 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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