About Synthetic Data Generation
The Synthetic Data Generation category is part of the AI Data Labeling & Annotation market map, tracking 14 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 Synthetic Data Generation
- Gretel — Acquired, $65.5M
- Mostly AI — Series B, $31M
- Synthesis AI — Series A, $25.4M
- Datagen — Series B, $70M
- Tonic.ai — Series B, $43M
- Hazy — Acquired, $28.3M
- Parallel Domain — Series A, $22.5M
- YData — Seed, $8M
- Rendered.ai — Seed, $6M
- CVEDIA — Seed, $11M
- Rockfish Data — Seed, $6M
- DataCebo — Seed, $8.5M
- Fairgen — Seed, $8M
- Betterdata — Seed, $1.6M
Frequently Asked Questions
- What companies are in the Synthetic Data Generation category?
- The Synthetic Data Generation category includes 14 companies: Gretel, Mostly AI, Synthesis AI, Datagen, Tonic.ai, Hazy, Parallel Domain, YData, Rendered.ai, CVEDIA, Rockfish Data, DataCebo, Fairgen, Betterdata. This is part of the AI Data Labeling & Annotation market map maintained by Hartmann Capital.
- How many Synthetic Data Generation startups are tracked?
- Hartmann Capital tracks 14 companies in the Synthetic Data Generation segment of the AI Data Labeling & Annotation market map.
- What are the best funded Synthetic Data Generation companies?
- Top funded companies in Synthetic Data Generation include Datagen ($70M), Gretel ($65.5M), Tonic.ai ($43M), Mostly AI ($31M), Hazy ($28.3M). 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.