
Datature
Data labeling software
MLOps platforms
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$299 per month
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What is Datature
Datature is a computer vision platform that supports dataset management and labeling, model training, and deployment workflows. It is used by teams building image and video AI applications that need to organize data, create annotations, and iterate on models in a single environment. The product combines labeling tools with model lifecycle features such as experiment tracking and deployment options, positioning it between pure labeling tools and broader MLOps platforms.
Built-in deployment options
Datature includes mechanisms to move trained models into production contexts, which can shorten the path from labeling to inference. This is useful for teams that want a single vendor for both data preparation and model serving workflows. It can be a practical fit for smaller teams that prefer an integrated stack over assembling multiple tools.
End-to-end CV workflow
Datature brings together dataset organization, annotation, training, and deployment capabilities in one product. This can reduce handoffs between separate labeling and model management tools for computer vision projects. It is particularly aligned to image/video use cases rather than general-purpose MLOps.
Integrated dataset management
The platform includes dataset versioning and management features that help teams track changes to images, labels, and splits over time. This supports reproducibility when retraining models or comparing experiments. It also helps coordinate work across labeling and model development roles.
Primarily computer vision focused
Datature’s core workflows center on image and video data. Organizations with major NLP, tabular, or multimodal requirements may need additional tools outside the platform. This can limit standardization if the company supports multiple ML modalities.
Less suited for large BPO labeling
Compared with providers that offer large managed annotation workforces, Datature is more oriented toward software-led labeling and in-house teams. Enterprises seeking fully managed, high-volume annotation services may need to contract separate service providers. This can add vendor coordination overhead for large-scale programs.
MLOps breadth may be limited
While it includes model lifecycle features, it may not cover the full breadth of enterprise MLOps needs such as complex pipeline orchestration, governance, or deep integrations across heterogeneous ML stacks. Teams with mature platform engineering requirements may still rely on separate MLOps infrastructure. As a result, Datature can function as a strong CV workbench but not a complete enterprise MLOps backbone.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Developer (Start for Free) | Free | Up to 50,000 images/assets; ~5TB storage; 50 exportable models; 3,000 GPU training minutes / month; ~30,000 IntelliBrush (AI-assisted annotation) tokens / month; Python SDK (read-only); Slack community support; suitable for individual developers/researchers. |
| Startup | Contact Sales | Up to 200,000 images/assets; ~20TB storage; 50,000 IntelliBrush tokens / month; 10,000 compute/training minutes / month; region-specific servers; categorization & custom metadata; collaborator access (team features); contact sales for pricing. |
| Professional (Most popular) | $299 per month (billed annually) or $499 per month (monthly) | Up to 350,000 images/assets; ~35TB storage; 100,000 IntelliBrush tokens / month; 20,000 compute/training minutes / month; multi-format model exports (~200); model-assisted labeling & annotation automation; deploy to production (GPU-backed inference); VPC / on-premise ready; advanced user permission controls; multiple workspaces; personalized SLA & support; HIPAA & SOC II compliance reports. |
| Enterprise | Custom pricing (Contact Sales) | Scalable to >1,000,000 images; custom storage and quotas; dedicated or private-cloud deployment; separate workspaces & fine-grained access controls; dedicated support, custom SLAs, HIPAA & SOC II compliance; custom feature development & implementation support. |
Seller details
Datature Pte. Ltd.
Singapore, Singapore
Private
https://datature.io/
https://x.com/datatureio
https://www.linkedin.com/company/datature/