Find the best AI & ML service provider from 711+
Experiment tracking, dataset versioning, and hyperparameter optimization platform. Integrates with autoML frameworks and deep learning libraries.
- Free tier: public projects
- Paid teams from $499/month
- Enterprise SSO & hosting options
Computer vision platform enabling object detection model training, data labeling, and data augmentation in the cloud.
- Free tier: limited dataset
- Pro & Enterprise: usage-based
- Focus on CV dataset management
Open-source graphical image annotation tool for object detection bounding boxes. Often paired with data augmentation libraries.
- Completely free, open source
- No enterprise plan
- Community-driven updates
Fully managed ML platform combining AutoML, custom model training, MLOps, labeling, and model serving on GCP.
- Pay-as-you-go GCP usage
- No free plan except trial credits
- Enterprise GCP solutions possible
Python-based annotation tool by Explosion (makers of spaCy). For text, image, or audio labeling, active learning, data augmentation.
- One-time license: $390/developer
- No free plan
- Focus on interactive active learning annotation
Azure cognitive service to extract text, key-value pairs, and table data from forms. Offers custom model training.
- Pay-as-you-go: ~$50 per 1k pages
- Free tier for limited requests
- Enterprise: custom Azure deals
RPA platform includes document understanding modules for OCR, using multiple engines (Google, ABBYY, etc.).
- Custom enterprise licensing
- No free tier beyond trial
- Robotic Process Automation focus
Data labeling and annotation services for images, text, video. Offers data augmentation, autonomous vehicle pipelines, and ML deployment.
- Custom enterprise SOW
- No free plan
- Focus on large-scale annotation
No-code automation workflows connecting 5k+ apps. Some ML-based integrations for data augmentation, sentiment analysis, etc.
- Free plan: 5 single-step Zaps
- Paid from $19.99/month
- Enterprise: custom solutions
Amazon SageMaker feature that runs data augmentation pipelines (e.g. image transformations, synth data). Part of AWS ML workflow.
- Pay for compute & storage
- No free tier beyond trial
- Focus on enterprise ML pipelines