Annotifier is a purpose-built application designed to support data labeling and computer vision workflows by managing the end-to-end lifecycle of annotation tasks critical for building, training, and deploying AI models—particularly in image contexts. To streamline operations, Annotifier has been developed on the ServiceNow platform, enabling seamless management of annotation requests, approvals, status tracking, and task distribution. It is tightly integrated with the Data Annotation platform.
- End-to-End Annotation Workflow Management
- Built on the ServiceNow Platform
- Seamless Integration with Data Annotation Tools
- Role-Based Access and Collaboration
- Real-Time Status Tracking
- Approval and QA Review Workflow
- Data Export and Model Training Support
- Scalable for Computer Vision Projects
- Automated Task Assignment
Version: 1.0 – Initial Release
We are excited to announce the first official release of Annotifier, a collaborative annotation management platform that helps teams streamline the process of data annotation, quality assurance, and model training.
Key Features in v1.0Structured Annotation Workflow
Annotifier introduces a clear, state-driven workflow to ensure high-quality data annotation:
- Open:
A ticket is created and awaits annotation. - Annotation:
Annotators begin working on the ticket by labeling or annotating the data. - QA Review:
Once submitted, the ticket is reviewed by a QA reviewer for accuracy and completeness. - Approved:
If the QA review passes, the annotation is approved. - Close:
Final confirmation stage before completion. QA may still have minor checks or the admin may process the ticket for export or model training. - Close Complete:
Ticket is fully finalized—annotations are locked, and the data is ready for download or use in model training.
User Roles & Permissions
- Users: Create and submit annotation requests (tickets)
- Annotators: Perform detailed data annotation
- QA Reviewers: Review and approve/reject annotations
- Admins: Oversee the entire workflow, download annotated data, and manage model training
Admin Capabilities
- Download Annotated Data:
Export completed and approved annotations for use in datasets or storage. - Train AI Models:
The annotated datasets and metadata generated within the platform are designed to be used for training AI models
Dashboard and Progress Tracking
- Visual ticket status tracking through each state
- Real-time visibility into workload and task assignments
Requires an active ServiceNow subscription with the following components enabled:
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Workspace
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Integration Hub
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Spokes, Connections & Credentials
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Service Portal
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Data Lookup Matcher Rules
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Flow Designer
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UI Builder
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Platform Analytics