Deepen AI
5.8#21 in data labeling softwareWebAPISelf-hosted
VisitDeepen AI vs LightlyStudio
LightlyStudio
7.6#2 in data labeling softwareFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Deepen AI | LightlyStudio |
|---|---|---|
| Annotation | Annotate supports 2D and 3D labeling, including bounding boxes, segmentation, keypoints, point-cloud labeling, multi-sensor fusion, and sequence tracking. | The product supports classification, object-detection and segmentation annotations that can be edited in the GUI or through Python. |
| Curation | Deepen Curate deduplicates sensor data, searches clips and frames, and mines rare scenarios and long-tail edge cases before labeling. | It automatically creates embeddings and supports metadata filtering, text or image similarity search, deduplication, outlier detection, diversity sampling and class balancing. |
| Deployment | The listed deployment options are managed cloud, virtual private cloud, on-premises, and air-gapped environments. | LightlyStudio Enterprise is offered as a Lightly-hosted service or as an on-premise deployment; the on-premise option can run fully offline and air-gapped. |
| Headquarters | Santa Clara, California, United States | Zurich, Switzerland |
| Product | Deepen AI describes itself as data infrastructure for Physical AI, connecting calibration, capture, curation, annotation, and validation. | LightlyStudio combines computer vision data curation, annotation, quality assurance, evaluation, and dataset management in one app. |
Deepen AI plans
No prices published.
LightlyStudio plans
- Open SourceFree
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
- On-PremisePriced on request
- Lightly-HostedPriced on request
Pick Deepen AI if…
Deepen AI is aimed at Physical AI teams in automotive, robotics, energy, and industrial systems. Its connected data workflows may suit programs that need sensor calibration, dataset labeling, and validation.
Pick LightlyStudio if…
LightlyStudio suits computer-vision practitioners who need to curate and label image or video datasets and evaluate models. The open-source version is for users who can work without customer support or team collaboration; Enterprise offers those collaboration features.