Dataloop vs Keylabs
Dataloop
dataloop.aiKeylabs
keylabs.aiSide by side
| Figure | Dataloop | Keylabs |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 4 |
| Spec score · Image Annotation Software | 7.9 (#13) | 8.1 (#9) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 8.1 (#8) |
| Deployment | Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement. | Keylabs says it can be deployed in the cloud or on customer hardware, including a fully on-premise option for enterprises without internet access. |
| 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. | Keylabs lists integrations with AWS S3, Google Cloud, Azure, local storage, Roboflow, and Google Vision OCR. |
| Intended users | The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. | The infrastructure page names enterprise AI teams, data operations teams, ML engineers, and AI vendors as use cases. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | Keylabs is a data annotation platform for image, video, and 3D data, with AI assistance and built-in quality assurance. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The pricing page lists customer support hours per month as a plan feature but does not show the hour amounts in its text. |
Plans
Keylabs
- Startup$1, paid once
- Pro$2.10, paid once
- Business$2.30, paid once
- EnterprisePriced 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.