Intellabel
An all-in-one platform for AI data operations — manage, label, train, and deploy vision and video AI models.
| What is it | An all-in-one platform for AI data operations — manage, label, train, and deploy vision and video AI models. |
|---|---|
| Pricing | Paid — from $200/mo |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Best for | Preparing labeled datasets for computer vision projects, Training and deploying custom object detection models |
| Domain registered | 2024 |
Data updated Aug. 1, 2026
What does Intellabel do?
Intellabel is a unified workspace for teams building vision and multimodal AI. It handles the entire pipeline from raw data to a deployed model. You can import image and video data, use AI to pre-label it, manage different dataset versions, train custom models, and set up monitoring for production—all within the same system. The platform is designed to replace a collection of separate tools for annotation, version control, and MLOps.
What sets Intellabel apart is its focus on auditability and compliance for regulated industries. Every action, from a label correction to a model training run, is automatically logged with a timestamp and user identity, creating a defensible audit trail. This built-in lineage helps teams meet standards like the EU AI Act or ISO 27001. The platform also uses foundation models to speed up labeling by suggesting annotations, which human reviewers then verify.
This tool is built for ML engineers and AI teams who need to ship models faster without sacrificing quality control. It's also a strong fit for heads of AI in sectors like healthcare, finance, or automotive, where proving model decisions and data lineage is critical. Real-world use includes developing AI for autonomous vehicles, medical imaging analysis, or any application where trustworthy, documented AI is required.
Key features
What makes it stand outWho is Intellabel for?
Who benefits most from this toolPricing
Team
- Manual annotation
- QA workflows
- Workflow management
- Dataset analytics dashboard
- Project management
- Super-admin monitoring
Growth
Everything in Team, plus:
- AI-assisted labeling
- Active learning workflows
- Import models from Hugging Face
- Host pre-trained models
MLOPS
- Fine-tuning of pre-trained models
- Unlimited pipeline runs
- Unlimited artifacts & versions
- Model deployment + monitoring
- Tenant-isolated infrastructure
Enterprise
Everything in Growth + MLOps, plus:
- Custom model training from scratch
- Retraining pipelines
- Dedicated single-tenant infra
- On-prem / private cloud option
- SSO, RBAC, audit, dedicated CSM
Trust & presence
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