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Scale AI vs Supervisely

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

Compared from listings verified as of

Scale AI

Data Ops

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

View Scale AI

Supervisely

Vision

All-in-one computer vision platform to curate, label, and train models.

View Supervisely

At a glance

Feature comparison of Scale AI and Supervisely
AttributeScale AISupervisely
Category (differs)Data OpsVision
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)CloudHybrid
PlatformsWeb, APIWeb, API
Model support (differs)Model-agnosticMulti-model
Vendor (differs)Scale AISupervisely
Capabilities (differs)
  • LLM evaluation
  • Red-teaming
  • Data labeling
  • Fine-tuning / training
  • Model inference / serving
  • Data labeling
  • Object detection

The honest brief

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

Supervisely

Extensible 'OS for computer vision' — an installable app ecosystem spans labeling, training, and inference end to end.

  • Images, video, 3D point cloud, DICOM
  • AI-assisted labeling
  • Installable app ecosystem
  • Free tier and self-hostable Enterprise
  • Broad platform has a learning curve
  • Enterprise pricing is quote-based
  • Heavier than a pure labeling tool

When to pick which

Both cover Data labeling.

Pick Scale AI if you need LLM evaluation and Red-teaming.

  • LLM evaluation (primary capability)
  • Red-teaming (secondary capability)

Pick Supervisely if you need Fine-tuning / training, Model inference / serving, and Object detection.

  • Fine-tuning / training (primary capability)
  • Model inference / serving (secondary capability)
  • Object detection (secondary capability)

They also differ on:

Pricing
PAID · FREEMIUM
Deployment
Cloud · Hybrid