ComparisonChecked Nov 8, 2026

Scale AI vs Surge AI

Both sell managed post-training data to model builders. They publish very different amounts of security evidence and describe their offerings in different terms.

What differs

  • Offering: Scale’s Generative AI Data Engine lists RLHF, prompt-response generation, red teaming, and evaluation; Surge offers custom training data, off-the-shelf datasets, RL environments, and benchmarks and evals, and calls itself a post-training partner.
  • Published security: Scale lists SOC 2 Type II, ISO/IEC 27001:2022, FedRAMP High, and DoD IL4; we found no certification or trust center on Surge’s site (its /security path returned 404).
  • Off-the-shelf data: Surge sells off-the-shelf training data and publishes vendor-reported post-training runs on it; Scale’s pages checked focus on custom data.
  • Ownership: Meta holds a minority of Scale’s equity after a June 2025 investment; Scale describes itself as independent. Surge is privately held.

Who each tends to fit

Public-sector or audit-heavy buyers may start with Scale’s published authorizations. Teams that want to test off-the-shelf post-training data before custom work may look at Surge. Review ownership and security documentation in diligence for both.

Last checked: . No winner declared.

Side by side

FactScale AISurge AI
StatusActive, privately held. Meta Platforms announced a significant investment on June 12, 2025 and holds a minority of Scale's equity; Scale describes itself as independent.Active, privately held.
OwnershipPrivately heldPrivately held
Buying modelManaged serviceManaged service, Off-the-shelf datasets
CategoriesManaged RLHF & post-training data; Evaluation & red teamingManaged expert post-training data; Off-the-shelf datasets; RL environments & evals
PricingContact vendor (pricing page is a book-an-intro-call form)Contact vendor
CertificationsSOC 2 Type II (report in Trust Center); ISO/IEC 27001:2022; FedRAMP High Authorized; DoD IL4 Provisional AuthorizationNone found / not verified
LimitationsNo public pricing; Buyers with Meta-competitive sensitivities should review the 2025 Meta investment and data-handling terms in diligenceNo published certifications or trust center found; No public pricing; Training Lab results are vendor-published; validate on your own evals
How to buyscale.comsurgehq.ai
Sources[1] [2] [3] [4] Checked 2026-11-08[1] [2] [3] Checked 2026-11-08

Facts come from each vendor’s profile sources. Run a paid pilot before choosing.