Scale AI vs Surge AI: which training data company fits your model in 2026?

Answer in brief: Scale AI and Surge AI both belong to the human data category, the largest branch of the training-data industry, but they are built for different jobs. Scale AI is the broadest vendor in the directory. Its Data Engine covers data generation, RLHF, red teaming and evaluation, with annotation for text, image, video and 3D/LiDAR sensor fusion, and it also builds AI applications for enterprises and governments. Surge AI is a post-training specialist. It offers an expert network that it says spans 500+ disciplines and 80 languages, an off-the-shelf catalog of frontier datasets and RL environments, and a Training Lab that publishes before-and-after training results. Pick Scale when you need many modalities, physical-AI or public-sector capability. Pick Surge when frontier-grade coding, reasoning and agentic data is what limits your model.

Top pick: Surge AI for frontier post-training data. Scale AI for multimodal, physical-AI and government programs. If your bottleneck is hard reasoning, coding or agent data, Surge's train-first, pay-if-it-improves offer for eligible labs is the lowest-risk way to test premium data. If you need one contract to cover LiDAR, video, RLHF and evaluation, Scale has the widest catalog. Visit Surge AI → · Visit Scale AI →

This page is independent research based on each company's own website and current public reporting, checked November 9, 2026. We did not test either service hands-on. Company figures are self-reported unless we say otherwise. This site earns revenue from vendor sponsorships, which are labelled where they appear.

Where each one sits on the industry map

Our directory groups training-data companies into five categories: human data, synthetic data, licensed corpora, data marketplaces and data collection. Both companies are human-data firms, but Scale goes further. It covers custom collection and annotation at volume, sensor data for autonomy, and deployed applications. Surge stays focused on expert-created post-training data: SFT demonstrations, RLHF preferences, rubrics and verifiers, evaluations and RL environments.

Head-to-head comparison

Factor	Scale AI	Surge AI
Directory category	Human data (full stack), collection, evaluation, applications	Human data (expert post-training)
Core offering	Data Engine: generation, RLHF, red teaming, evaluation, annotation	Expert data, RL environments, rubrics/verifiers, RLHF, SFT, human evaluation
Modalities	Text, image (incl. electro-optical, infrared), video, 3D/LiDAR	Text, code, multilingual and multimodal reasoning
Off-the-shelf data	Not a featured product	Yes: coding agents, enterprise agents, multimodal and expert reasoning
Benchmarks	Private benchmarks and leaderboards	Public suite incl. DAYJOB, Riemann-bench, Hemingway-bench
Workforce claim	25% of contributors hold advanced degrees	200,000+ PhDs across 500+ disciplines
Ownership	Meta holds a 49% minority stake (2025); Scale says it is operationally independent	Says it has been profitable without venture funding
Pricing	Custom, via demo	Custom; train-first, pay-if-it-improves for eligible labs

Scale AI: one contract, every modality

Scale has been building data pipelines since 2016, starting in autonomous vehicles. Today it sells across the whole AI stack. Its published customer stories include Physical Intelligence and Universal Robots (robotics), Mayo Clinic, TIME, BP and the U.S. Department of Defense's CDAO, and it says 90% of the leading generative-AI model builders use Scale. It also runs private benchmarks through its leaderboards.

What buyers need to know: in June 2025 Meta invested $14.3 billion for a 49% stake, according to AP. Scale says its operations are not being merged into Meta and that customer data stays separated. Reuters reported at the time that Google planned to move key contracts elsewhere and that OpenAI had already scaled back, though OpenAI's CFO said it would keep using Scale as one of several vendors. Francis deSouza became CEO on August 10, 2026. Founder Alexandr Wang remains chairman.

Visit Scale AI →

Surge AI: expert data that has to earn its keep

Surge's offer is quality you can measure. Its Training Lab publishes training studies on its own datasets. One example: Surge reports that GLM-4.7 rose from 22.7% to 47.6% on held-out Expert STEM tasks. Under its Trusted Program, eligible labs can train on off-the-shelf data first and pay only if their metrics improve. Forbes reported $1.2 billion in 2024 revenue and estimated Surge's value at about $24 billion in April 2026. Surge names OpenAI, Anthropic, Meta and Google as partners.

Visit Surge AI →

When to pick which

Pick Scale AI if you need LiDAR or sensor-fusion labels, video annotation, defense or public-sector work, or one vendor across data, evaluation and deployment.
Pick Surge AI if you train frontier or open-weight LLMs and need expert coding, STEM, writing or agentic data with published evidence that it improves models.
Use both if you run multimodal perception programs and also frontier post-training. Plenty of labs buy from several vendors.
Building robots? See the specialist directory at roboticsdatacompanies.com.

Pricing models

Neither company publishes a price list. Scale prices custom engagements after a demo. Surge prices custom work by quote, and its off-the-shelf data uses the pay-if-it-improves model for eligible labs. Expect costs to depend on how specialized the experts are, how hard the tasks are, and how much volume you buy.

FAQ

Is Scale AI owned by Meta?

No. Meta bought a 49% minority stake in 2025. Scale says it remains operationally independent and keeps customer data separated.

Does Surge AI sell ready-made datasets?

Yes. Surge's off-the-shelf catalog covers coding agents, enterprise agents, multimodal reasoning and expert reasoning. Eligible labs can train first and pay if their metrics improve.

Which is better for computer vision and LiDAR?

Scale AI. Its Data Engine supports image, video and 3D sensor-fusion annotation. Surge focuses on post-training data for language and agent models.

Do either publish prices?

No. Both quote custom prices.

Keep exploring the directory

Back to the full directory of training data companies · Scale AI review · Surge AI review · Surge AI vs Mercor · Alternatives to Scale AI · How to choose