Surge AI
Bootstrapped data-labeling and RLHF provider serving OpenAI, Anthropic, Google, and Meta, sold entirely through direct sales rather than self-serve signup.
Last verified:
Surge AI is a data-labeling and human-feedback company founded in 2020 by Edwin Chen, providing RLHF datasets, RL environments and verifiers, SFT data, human evaluation, and expert-domain annotation (physicians, attorneys, academics) across 70+ languages via a network of over one million annotators. It reported roughly $1.2B in 2024 revenue and remained bootstrapped until mid-2025 funding talks that reportedly valued the company between $15B and $25B+. Surge AI has no public pricing page, no visible self-serve signup, and no publicly documented API or SDK — engagement is exclusively through direct sales/email contact, consistent with its low-profile, enterprise-only go-to-market.
Pricing
| Tier | Price | Key features |
|---|
Source: https://www.surgehq.ai/products
Agent-readiness
- Discoverability
- 45/100
- Machine-readable content
- 10/100
- Programmatic access
- 0/100
- MCP / agent support
- 0/100
- Self-serve transactability
- 5/100
- Transparency
- 15/100
Security & compliance
- SSO / SAML
- Not publicly documented
- Encryption at rest
- Not publicly documented
- Encryption in transit
- Not publicly documented
- Audit log
- Not publicly documented
- Pentest report
- Not publicly documented
"Not publicly documented" means Crail found no public evidence either way — not a confirmed absence. See our methodology.
FAQ
Does Surge AI have a free tier?
No — Surge AI does not offer a free tier as of 2026-07-27.
Can you buy Surge AI without talking to sales?
No — Surge AI requires a sales call to purchase.
Does Surge AI have an official MCP (Model Context Protocol) server?
Not as of 2026-07-27 — no official MCP server was found.
Reviews
No reviews yet for Surge AI. Be the first to submit a verified review.
Methodology & disclosure
Data verified via agent crawled, last checked 2026-07-27. Agent-readiness methodology version crail-ar-v0.1. No vendor payment influences these scores — see our methodology page.