Dataloop vs Labelbox
Dataloop
dataloop.aiLabelbox
labelbox.comSide by side
| Figure | Dataloop | Labelbox |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Image Annotation Software | 7.9 (#13) | 7.5 (#20) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 7.5 (#16) |
| Spec score · Data Labeling Software | 7.8 (#14) | 7.4 (#19) |
| Spec score · AI Data Labeling Tools | 7.7 (#13) | 7.4 (#15) |
| Founded | 2017 | 2018 |
| Headquarters | Tel Aviv, Israel | San Francisco, California, United States |
| 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. | Examples of connected apps shown include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The Foundry guide directs users with workflow questions or feedback to submit a support ticket. |
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.
Labelbox
Labelbox provides tools for AI training data, reinforcement learning environments, evaluations, annotation, and enterprise agent workflows. Its Recursion platform can run fleets of agents across connected applications. Work can start from schedules, alerts, events, or API calls; agents can plan jobs, run specialist agents in parallel, use sandboxes, and return graded results with evidence. Shown integrations include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. Horizon supplies reinforcement-learning environments and evaluations for reasoning, tool use, and computer use. Labelbox Annotate offers more than 10 editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, and natural language processing. Expert services cover RLHF, supervised fine-tuning, preference ranking, red teaming, and coding or agent tasks. The company says its experts span over 200 domains and 30 languages. A free tier includes 10,000 Labelbox units before card charging. Pricing is otherwise directed to contact.