Intellisane Annotation Platform vs Prodigy
Intellisane Annotation Platform
intellisane.aiProdigy
prodigy.aiSide by side
| Figure | Intellisane Annotation Platform | Prodigy |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 2 |
| Spec score · AI Data Labeling Tools | 7.8 (#11) | 8.3 (#6) |
| Headquarters | Dhaka, Bangladesh | Berlin, Germany |
| Intended users | The company describes its services for AI applications in areas including self-driving, robotics, finance, medical, and legal systems. | Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while its annotation web app can be used without programming experience after setup. |
| Support | The company says it offers ongoing support for updates, scaling, or retraining as AI models evolve. | The product includes documentation and access to a support forum; company licenses also include priority forum and email support. |
Plans
In their own words
Intellisane Annotation Platform
Intellisane Annotation Platform prepares image, video, audio, text, and 3D point-cloud data for AI training. Its image tools cover boxes, polygons, ellipses, polylines, keypoints, and semantic segmentation; other workflows include transcription, video tracking, text annotation, and 3D LiDAR annotation. Teams can divide projects into batches, track progress, and export each batch independently. Workspaces assign Owner, Manager, Annotator, and Reviewer roles. Reviewers can approve or reject batches with comments or request corrections. Data can be uploaded or imported from AWS S3 and Google Cloud Storage, then exported in COCO JSON, YOLO v5/v8, Pascal VOC XML, or custom JSON, including direct pushes to those storage services. The cloud service has a free plan at free, covering up to 3 members, 2 projects, 1,000 annotations, and 200 assets, with no credit card required. The company states a 98%+ accuracy guarantee and support for 80+ languages. Intellisane is based in Dhaka, Bangladesh.
Prodigy
Prodigy is a downloadable developer tool and Python library for creating training and evaluation data for machine-learning models. Its built-in recipes cover named entity recognition, text classification, computer vision, audio and video annotation, transcription, and model training and evaluation. A customizable web application offers 23 interfaces for work with text, images, audio, video, relations, multiple choice, HTML and conflict resolution. Users can define workflows with Python recipes and create interfaces using HTML, CSS and JavaScript. Prodigy supports spaCy, plugins for Hugging Face models and integrations with major LLM API providers. Data can be stored in SQLite, MySQL or PostgreSQL and exported to JSON. It runs on the user's own machines without connecting to the maker's or third-party servers, including on air-gapped machines. The standard Python web server and app can be deployed in the cloud or on-premise. Personal licensing costs $390, paid once, excluding tax; Company licensing costs $490, paid once per seat in packs of five, excluding tax.