Surge AI
NativePrivateUpdated November 3, 2026AI training data / RLHF platform, rival to Scale AI
- Website
- surgehq.ai
- CEO
- Edwin Chen
- Founded
- 2020
- HQ
- San Francisco, United States
- Total Funding
- $1.0B
- Employees
- 201-500
Products & Offerings
Surge AI Human Data Platform
Managed platform that pairs a vetted global network of expert annotators with quality-control workflows to deliver SFT, RLHF preference data and model evaluations.
RL Environments
Custom reinforcement learning environments with built-in reward signals where AI agents are trained on realistic, multi-step professional tasks.
Benchmarks and Evaluations (DAYJOB, EnterpriseBench, Hemingway-bench)
Surge's own benchmark families that test models and agents on economically valuable work, instruction following, writing, math and document reasoning.
DataAnnotation.tech
Contributor marketplace operated by Surge that recruits and pays contractors to write, grade and evaluate AI model responses.
Executive Summary
What they do
- Supplies expert human data for SFT, RLHF and evaluation of frontier language models
- Builds reinforcement learning environments where AI agents learn complex multi-step tasks
- Publishes benchmarks like DAYJOB and EnterpriseBench to test agents on professional work
Why it matters
- Reported $1.2B revenue in 2024, ahead of Scale AI at the time
- Has helped train Claude and Gemini; customers include OpenAI, Google, Meta and Microsoft
- Was profitable and self-funded as of 2026, with no outside VC money
Best fit
- Frontier labs and model builders needing high-quality, expert-level post-training data
- Teams building AI agents that need custom RL environments and rigorous evaluations
- Organizations wanting an independent alternative to Meta-backed Scale AI for human data
Watch-outs
- 2025 class action alleges contractors misclassified and denied wages for training time
- August 2026 reports say Surge sells training data to Tencent and other Chinese labs
- Mainly built for model labs, not typical enterprises tuning existing models
Unlock Full Intelligence
Pro members get the complete briefing
- Complete analyst verdict
- Risk assessment
- All 6 Bluescore dimension scores
- Traction signals
- Bluescore history & momentum tracking
- Unlimited company access
Surge AI is one of the two or three most proven suppliers of expert RLHF, evaluation and RL-environment data, and has years of work with OpenAI, Anthropic, Google and Meta. If you train or post-train your own models, it belongs on your shortlist next to Scale AI and Mercor. Before signing, check how your data is kept separate from other clients' (given reports of Chinese-lab customers), how its contractor workforce is managed, and whether it suits buyers who are not frontier labs.
Signal Provenance
Latest observation date and source for each signal category
| Signal Category | Last Updated | Source |
|---|---|---|
Funding Signals Last funding round, Funding stage | Oct 30, 2026 | Montclare research agents |
Hiring Velocity Headcount, Headcount growth | Nov 3, 2026 | Montclare research agents |
Technical Output Research papers, GitHub activity | Never | Montclare research agents |
News Sentiment News mentions, News sentiment | Nov 3, 2026 | Montclare research agents |
Partnership Signals Enterprise partnerships, Distribution partners | Oct 28, 2026 | Montclare research agents |
Revenue Indicators ARR estimate, Revenue growth | Nov 3, 2026 | Montclare research agents |
Leadership Signals CEO tenure, Founder-led | Nov 3, 2026 | Montclare research agents |
Competitive Position Category rank, Market share | Nov 3, 2026 | Montclare research agents |
Why this Bluescore?
6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology