Encord vs Lightly
A side-by-side comparison of Encord and Lightly, two Vision tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Encord | Lightly |
|---|---|---|
| Category | Vision | Vision |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Hybrid | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | Encord | Lightly |
| 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
Lightly
Curation-first: picks the most informative frames via embeddings and active learning so you label and train on less data.
- Embedding-based data curation and dedup
- Near-duplicate detection across datasets
- Self-supervised pretraining (LightlyTrain)
- Edge SDK for on-device selection
- Open-source SSL library to build on
- No public pricing; sales-led
- Focused on vision, not other modalities
- Best value needs large datasets
- Smaller ecosystem than labeling giants
When to pick which
Both cover Data labeling.
Pick Encord if you need LLM evaluation and Vector search.
- LLM evaluation (secondary capability)
- Vector search (secondary capability)
Pick Lightly if you need Fine-tuning / training and Embeddings.
- Fine-tuning / training (secondary capability)
- Embeddings (secondary capability)