BasicAI vs Dataloop
BasicAI
basic.aiDataloop
dataloop.aiSide by side
| Figure | BasicAI | Dataloop |
|---|---|---|
| Price from | $550/mo | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · AI Image Annotation Tools | 8.0 (#10) | 7.8 (#12) |
| Spec score · Image Annotation Software | 8.0 (#12) | 7.9 (#13) |
| Spec score · AI Data Labeling Tools | 7.9 (#10) | 7.7 (#13) |
| Spec score · Data Labeling Software | 8.0 (#11) | 7.8 (#14) |
| Deployment | BasicAI offers on-premise deployment options, with professional deployment and maintenance services and data kept within the customer’s systems. | Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement. |
| Headquarters | Irvine, California, USA | Tel Aviv, Israel |
| Integrations | The platform page says users can import and export data from AWS, Google Drive, and Dropbox. | 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. |
| Product | BasicAI provides a multimodal data annotation platform and managed data annotation services for AI training data. | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. |
| Support | The company provides technical support and offers a dedicated support plan with its private-cloud deployment. | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. |
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.