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Best Synthetic Data & Data Labeling for enterprise teams

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Crail tracks 5 Synthetic Data & Data Labeling vendors that list enterprise teams as a fit. These are the 5 that rank highest once the list is weighted for enterprise teams, and each one is shown with compliance evidence, deployment control and data residency — the facts that decide the shortlist at this size, rather than the same summary on every page.

How this list is weighted for enterprise teams

  • 60% of the vendor's Crail agent-readiness score
  • up to 24 points for published compliance certifications (8 per certification)
  • 10 points for documented SSO/SAML support
  • 6 points for a documented audit log

Startups and small businesses share the price-and-self-serve weighting; midmarket and enterprise share the compliance weighting. The full rules are on the methodology page.

Best overall: Scale AI

Runs in your own environment: Mostly AI

1. Scale AI45/100 agent-readiness

Enterprise Data Engine and GenAI Platform providing human-curated data labeling, RLHF, and evaluation pipelines to train and fine-tune AI models.

  • Certifications: SOC 2, ISO 27001, HIPAA, FedRAMP
  • Deployment: cloud
  • Data residency: no options published
  • SSO/SAML: yes. Audit log: yes. Pentest report: yes

2. Labelbox39/100 agent-readiness

Data engine platform for building AI training datasets, RLHF pipelines, and model evaluation tools for enterprise AI teams.

  • Certifications: SOC 2 Type II, GDPR, CCPA, HIPAA
  • Deployment: cloud
  • Data residency: no options published
  • SSO/SAML: yes. Audit log: yes. Pentest report: not publicly documented

3. Snorkel AI21/100 agent-readiness

Programmatic data-labeling platform using labeling functions and expert data curation to build training and evaluation data for AI and agentic systems.

  • Certifications: SOC 2 Type II, HIPAA, NIST CSF
  • Deployment: cloud, self-hosted, on-prem
  • Data residency: no options published
  • SSO/SAML: not publicly documented. Audit log: yes. Pentest report: yes

4. Mostly AI47/100 agent-readiness

Vienna-based synthetic data platform with an open-source Python SDK, free cloud tier, REST API, and self-hosted Kubernetes/OpenShift deployment.

  • Certifications: none published
  • Deployment: cloud, self-hosted, hybrid, on-prem
  • Data residency: no options published
  • SSO/SAML: not publicly documented. Audit log: not publicly documented. Pentest report: not publicly documented

5. Surge AI16/100 agent-readiness

Bootstrapped data-labeling and RLHF provider serving OpenAI, Anthropic, Google, and Meta, sold entirely through direct sales rather than self-serve signup.

  • Certifications: none published
  • Deployment: cloud
  • Data residency: no options published
  • SSO/SAML: not publicly documented. Audit log: not publicly documented. Pentest report: not publicly documented

FAQ

How is this Synthetic Data & Data Labeling ranking calculated for enterprise teams?

This is not the raw agent-readiness leaderboard. Crail scores the 5 Synthetic Data & Data Labeling vendors it tracks that fit enterprise teams, using 60% of the vendor's Crail agent-readiness score; up to 24 points for published compliance certifications (8 per certification); 10 points for documented SSO/SAML support; 6 points for a documented audit log. Scale AI ranks first once the enterprise teams weighting is applied, even though Mostly AI scores higher on raw agent-readiness (47/100 against Scale AI's 45/100), because the weighting adds points that score does not cover.

Which of these can run inside our own cloud or data center?

Snorkel AI (cloud, self-hosted, on-prem) and Mostly AI (cloud, self-hosted, hybrid, on-prem) document deployment outside the vendor's own cloud. Scale AI, Labelbox and Surge AI are cloud-only.

What compliance certifications do these vendors publish?

Scale AI: SOC 2, ISO 27001, HIPAA, FedRAMP. Labelbox: SOC 2 Type II, GDPR, CCPA, HIPAA. Snorkel AI: SOC 2 Type II, HIPAA, NIST CSF. Crail found no published certifications for Mostly AI and Surge AI.