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Dataloop vs Supervisely

A side-by-side comparison of Dataloop and Supervisely, two Vision tools, 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

Supervisely

Vision

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

View Supervisely

At a glance

Feature comparison of Dataloop and Supervisely
AttributeDataloopSupervisely
CategoryVisionVision
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)CloudHybrid
PlatformsWeb, APIWeb, API
Model support (differs)Model-agnosticMulti-model
Vendor (differs)DataloopSupervisely
Capabilities (differs)
  • Fine-tuning / training
  • Embeddings
  • Data labeling
  • ETL / data pipeline
  • App / agent deployment
  • Fine-tuning / training
  • Model inference / serving
  • Data labeling
  • Object detection

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

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 Fine-tuning / training and Data labeling.

Pick Dataloop if you need Embeddings, ETL / data pipeline, and App / agent deployment.

  • Embeddings (secondary capability)
  • ETL / data pipeline (secondary capability)
  • App / agent deployment (secondary capability)

Pick Supervisely if you need Model inference / serving and Object detection.

  • Model inference / serving (secondary capability)
  • Object detection (secondary capability)

Supervisely leans on Fine-tuning / training as a headline capability; Dataloop treats it as secondary.

  • Fine-tuning / training (primary capability)

They also differ on:

Pricing
PAID · FREEMIUM
Deployment
Cloud · Hybrid
Dataloop detailsSupervisely detailsAll Vision apps