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Dataloop vs Scale AI

A side-by-side comparison of Dataloop and Scale AI, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Dataloop

Vision

Enterprise data engine for labeling and managing unstructured AI data.

View Dataloop

Scale AI

Data Ops

Training data, evaluations, and enterprise GenAI from the data-labeling giant.

View Scale AI

At a glance

Feature comparison of Dataloop and Scale AI
AttributeDataloopScale AI
Category (differs)VisionData Ops
PricingPAIDPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
PlatformsWeb, APIWeb, API
Model supportModel-agnosticModel-agnostic
Vendor (differs)DataloopScale AI
Capabilities (differs)
  • Fine-tuning / training
  • Embeddings
  • Data labeling
  • ETL / data pipeline
  • App / agent deployment
  • LLM evaluation
  • Red-teaming
  • Data labeling

The honest brief

Dataloop

A computer-vision data engine that now also runs RLHF and RAG for text, one labeling-and-ops stack across modalities.

  • Multimodal labeling (image, video, LiDAR, audio, text)
  • Serverless pipeline layer
  • Human-in-the-loop annotation
  • Model + app marketplace
  • Enterprise pricing
  • Broad platform = learning curve
  • Cloud-centric

Scale AI

Human-data operations at a scale smaller labeling platforms can't staff — expert annotator networks serving frontier-lab RLHF and eval pipelines.

  • Frontier-scale human data ops
  • Expert annotator network
  • Evaluation leaderboards
  • Public-sector offerings (Donovan)
  • Enterprise sales, no public pricing
  • Meta stake raised neutrality concerns
  • Some labs cut engagements post-deal

When to pick which

We found no distinguishing difference between Dataloop and Scale AI on the signals we track — pricing, license, platforms, and model support. Their capability lists differ only in recorded depth — compare them above. Pick on team fit.

Dataloop detailsScale AI details