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AI Data Auction

Scale AI vs Surge AI

Scale AI and Surge AI are both expert data labs, so they compete for similar buyers. They share 3 of their data types and differ in 1 others.

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Side by side

Scale AI compared with Surge AI
AttributeScale AISurge AI
TypeExpert data labExpert data lab
Founded20162020
HeadquartersSan Francisco, USSan Francisco, US
Data typesRLHF and preference data, Supervised fine-tuning data, Evaluation sets, Multimodal training dataRLHF and preference data, Supervised fine-tuning data, Evaluation sets
Pricing modelsPer-task, Per-hour expert labor, Enterprise contractPer-task, Per-hour expert labor, Project contract
BuyersFrontier labs, enterprises, government agenciesFrontier AI labs
Supply sideNot an open marketplace; it employs and contracts its own annotator and expert workforce.Closed workforce; not a marketplace.

How they differ

Which should you choose?

  • Choose Scale AI if you need multimodal training data.
  • Choose Surge AI if its expert data lab model matches how you buy.

This comparison uses public descriptions only and does not rank quality. Test both against your own specification with a pilot.

Frequently asked questions

What is the difference between Scale AI and Surge AI?
Scale AI and Surge AI are both expert data labs, so they compete for similar buyers. They share 3 of their data types and differ in 1 others. Only Scale AI lists Multimodal training data.
Which is cheaper, Scale AI or Surge AI?
Neither publishes a full price list. Scale AI uses per-task, per-hour expert labor, enterprise contract; Surge AI uses per-task, per-hour expert labor, project contract. Request quotes for the same specification from both.
Can I use Scale AI and Surge AI together?
Yes. Many buyers use two vendors to compare quality and avoid dependence on one.

Editorial note. No company listed here pays for placement or has reviewed its entry. AI Data Auction is building its own auction marketplace and will label any commercial relationship with a listed company. Figures are as reported by the named source on the stated date; check the primary source before relying on them. See our methodology.