Surge AI vs Scale AI: which training data company is better in 2026?
Answer in brief: Pick Surge AI when post-training quality decides whether your model wins. Surge does RL environments and verifiers, rubrics, RLHF, SFT demonstrations, human evaluation and expert-domain data, and it publishes before-and-after training results. It is our winner for best for LLM post-training. Pick Scale AI when you want one vendor that covers LLM data, enterprise evaluation and fine-tuning, physical-AI and robotics data, automotive and government work. Scale is our runner-up for best for enterprise fine-tuning. This is independent research based on each company's own website and on reporting from AP and Forbes. We did not test either service.
Top pick for LLM post-training: Surge AI. Surge does nothing but human data for frontier AI, and it shows its results. Its off-the-shelf catalog lists measured benchmark gains. In one example, Surge reports Kimi K2.7 rising from 31% to 48.7% on DeepSWE after training on its coding dataset. Labs in Surge's Trusted Program can train on a full dataset first and pay only if it improves their metrics. Visit Surge AI →
The scorecard at a glance
| Factor | Surge AI | Scale AI |
|---|---|---|
| Our best-for verdict | Winner: LLM post-training | Runner-up: enterprise fine-tuning |
| Core focus | Human data for frontier models | Data Engine, evaluation, physical AI, enterprise and government applications |
| Post-training products | RL environments and verifiers, rubrics, RLHF, SFT, human evaluation, expert domains | Post-training and evaluation data, Scale Labs private benchmarks, SWE-Bench Pro |
| Languages and modalities | 70+ languages; images, audio, video | Text, image and video, plus robotics and automotive sensor data |
| Published proof | Before-and-after training gains in its off-the-shelf catalog; its own benchmarks (Tuesday Work Index, DAYJOB, Riemann-bench) | Named customers including Meta, Mayo Clinic, Physical Intelligence, Universal Robots and the U.S. CDAO |
| Ownership | No outside funding round confirmed | Meta owns 49% (AP); Scale says it operates independently |
| Pricing model | Custom quotes; train first, pay if it works for Trusted Program partners | Custom; through a demo request |
Why Surge AI wins on post-training
- Its entire product line is post-training. Surge's products page lists RL environments and agents, rubrics and verifiers, RLHF, SFT, human evaluation, expert professional domains, internationalization in 70+ languages, multimodal data and off-the-shelf datasets.
- It publishes gains you can check. Surge reports, for example, Nemotron 3.5 Super moving from 14.8% to 27.5% on AutomationBench after training on its long-horizon tool-use dataset. These are Surge's own figures. Ask for the dataset and rerun the evaluation yourself.
- It builds its own benchmarks. Its 2026 benchmarks include DAYJOB: Tax, GDP.pdf, Riemann-bench and Hemingway-bench, rolled up into the Tuesday Work Index.
- It has not taken outside funding. Real Alpha's review found no completed outside round. Forbes reported about $1.2 billion in revenue for 2024.
Why Scale AI wins on breadth
- It covers the most ground. Since 2016 Scale has expanded from autonomous-vehicle labeling to frontier-model data, private leaderboards, physical-AI data, enterprise apps and Scale Donovan for national security.
- Enterprise evaluation feeds fine-tuning. Scale's enterprise evaluation runs automated and human-in-the-loop evaluation and production monitoring, and turns what it finds into RAG optimization and fine-tuning.
- Physical AI at volume. In January 2026 Scale said it had delivered more than 150,000 hours of physical-AI data and onboarded ten robotics customers.
- New leadership. Francis deSouza became CEO on August 10, 2026, and founder Alexandr Wang remains chairman.
Pick Surge AI if…
- You are a model lab and reasoning, coding, agent or writing quality is the bottleneck.
- You want off-the-shelf post-training data with published results and, if you qualify, a pay-if-it-works deal.
- You need expert data in 70+ languages.
Pick Scale AI if…
- You want one contract that covers LLM data, evaluation, robotics or autonomy.
- You are an enterprise or government buyer that needs evaluation, monitoring and fine-tuning together.
- You are comfortable with Meta's 49% stake after reviewing Scale's data-isolation commitments.
Pricing: what is public
Neither company publishes rates. Surge quotes custom work and offers a train-first, pay-if-it-works option on off-the-shelf data for Trusted Program labs. Scale prices by demo and quote. For the vendors that do publish prices, see our pricing comparison.
FAQ
Is Surge AI better than Scale AI?
For LLM post-training, yes in our ranking: Surge AI is our winner for that use case. Scale AI is broader, covering robotics, automotive, government work and enterprise evaluation, and it is our runner-up for enterprise fine-tuning.
Does Meta own Scale AI?
Meta invested $14.3 billion for a 49% stake in June 2025, according to AP. Scale says it remains independent and that Meta gets no access to customers' confidential information.
Can I try Surge AI data before paying?
Surge says labs in its Trusted Program can train on a full off-the-shelf dataset, evaluate the result and pay only if it improves their metrics.
Who runs Scale AI now?
Francis deSouza became Scale AI's CEO on August 10, 2026. Founder Alexandr Wang remains chairman.
Your next move
Visit Surge AI → · Visit Scale AI →
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