Encord vs Scale AI
A side-by-side comparison of Encord and Scale AI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Scale AI
Data OpsTraining data, evaluations, and enterprise GenAI from the data-labeling giant.
View Scale AIAt a glance
| Attribute | Encord | Scale AI |
|---|---|---|
| Category (differs) | Vision | Data Ops |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | Encord | Scale AI |
| Capabilities (differs) |
|
|
The honest brief
Encord
Labels DICOM, NIfTI, LiDAR and SAR alongside images/video — built for regulated medical and physical-world AI.
- DICOM/NIfTI/point-cloud support
- HIPAA/SOC 2 for regulated data
- Annotate + curate + index in one
- Model-assisted labeling (SAM, GPT-4o)
- Enterprise pricing, no free tier
- Heavier than lightweight labelers
- Onboarding/setup overhead
- Overkill for simple image tasks
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
Both cover LLM evaluation and Data labeling.
Pick Encord if you need Vector search.
- Vector search (secondary capability)
Pick Scale AI if you need Red-teaming.
- Red-teaming (secondary capability)
Scale AI leans on LLM evaluation as a headline capability; Encord treats it as secondary.
- LLM evaluation (primary capability)
They also differ on:
- Deployment
- Hybrid · Cloud