Dataloop vs Encord
Dataloop
dataloop.ai
Encord
encord.comSide by side
| Figure | Dataloop | Encord |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Active Learning Tools | 7.6 (#3) | 7.1 (#5) |
| Spec score · Image Annotation Software | 7.9 (#13) | 7.4 (#21) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 7.4 (#18) |
| Spec score · Video Annotation Software | 7.8 (#19) | 7.3 (#28) |
| Spec score · Data Labeling Software | 7.8 (#14) | 7.2 (#20) |
| Spec score · AI Data Labeling Tools | 7.7 (#13) | 7.2 (#18) |
| 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. | Cloud storage integrations named on the site include AWS S3, Azure Data Lake Storage, and Google Cloud Storage; users can access projects, datasets, and annotations through API/SDK. |
| Intended users | The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. | The pricing page positions Starter for individuals and small teams prototyping AI applications, Team for teams scaling a few applications, and Enterprise for companies shipping multiple applications across teams. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | Encord describes itself as a multimodal data infrastructure layer for AI teams, spanning pre- and post-training through deployment. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The listed plans include self-serve support for Starter, onboarding support for Team, and enterprise SLA and support for Enterprise. |
Plans
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.