Dataloop vs Segments.ai
Dataloop
dataloop.aiSegments.ai
segments.aiSide by side
| Figure | Dataloop | Segments.ai |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Image Annotation Software | 7.9 (#13) | 8.1 (#11) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 8.1 (#9) |
| Spec score · Data Labeling Software | 7.8 (#14) | 8.0 (#13) |
| Founded | 2017 | 2020 |
| 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. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Intended users | The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. | The company describes the product as designed for computer vision engineers and data scientists working in autonomous robotics and driving. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | Segments.ai is a multi-sensor data labeling platform for robotics and autonomous vehicle teams. |
| Security and compliance | Dataloop states it is GDPR compliant, adheres to ISO 27001 and ISO 27701, and is SOC 2 Type II compliant. | Company materials state that Segments.ai is ISO 27001 certified, GDPR compliant and EU based. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | Fusion includes priority support and mail, Slack, and Discord support. |
Plans
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
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.
Segments.ai
Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.