Dataloop vs LightlyStudio
Dataloop
dataloop.aiLightlyStudio
lightly.aiSide by side
| Figure | Dataloop | LightlyStudio |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 4 |
| Spec score · Active Learning Tools | 7.6 (#3) | 8.5 (#1) |
| Spec score · Data Labeling Software | 7.8 (#14) | 8.5 (#4) |
| Deployment | Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement. | 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. |
| Founded | 2017 | 2019 |
| Headquarters | Tel Aviv, Israel | Zurich, Switzerland |
| Integrations | The developer guide lists cloud storage integrations for Google Cloud Platform, Amazon S3 and Microsoft Azure Blob, plus container registries including AWS ECR, Google Artifact Registry and Azure Container Registry. | It reads images and videos from Amazon S3, Google Cloud Storage, and Azure Blob Storage, and supports common annotation formats including COCO, YOLO, Pascal VOC, and YouTube-VIS. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | LightlyStudio combines computer vision data curation, annotation, quality assurance, evaluation, and dataset management in one app. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The Open Source plan lists no customer support; the on-premise offering includes dedicated engineering support. |
Plans
LightlyStudio
- Open SourceFree
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
In their own words
Dataloop
Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.
LightlyStudio
LightlyStudio has no write-up on Specifiction yet; its figures are above.