Access and command management
A flexible system of roles and permissions allows you to securely manage access to projects, data, and workflows for administrators, managers, performers, and customers.
Management features
Manage teams, quality, and timelines from one platform.
Powerful annotation management tools
Customizable workflows
Create your own multi-stage annotation, verification, and quality control pipelines tailored to the requirements of a specific project or team.
Quality control and refinement
Maintain consistently high data quality through results verification, rework, and structured feedback.
Performance monitoring
Track team workload, task completion rate, and project progress in real time using interactive dashboards and metrics.
Analytics and reporting
Get detailed statistics on projects, teams, and data quality to make decisions based on actual metrics.
Project execution forecasting
Plan resources more effectively with project completion forecasts, bottleneck analysis, and team workload assessment.
Audit and transparency of processes
Keep a complete history of changes for every file, annotation, and project setting, so every action is traceable.
Quality control automation
Use automatic validation rules to catch errors before the review stage and cut time spent on manual checks.
Flexible project configuration
Customize classes, attributes, tags, and data structure to suit your domain specifics without platform limitations.
Cloning and scaling projects
Quickly launch new iterations and similar projects with full replication of structure, settings, data, and commands.
Manager workflow
Creating a project
Workflow settings
Team assignment
Quality control
Analytics
Export results
Managing large teams
10+ roles and access levels
Hundreds of annotators
Many projects at the same time
Distributed teams
Quality control at every stage
Automatic validation
Built-in script to detect errors before sending a file for review using customizable validation rules.
Return for revision
Submit files for corrections with specific comments and reasons for return.
Comments and feedback
Discuss problem areas directly in the task using a structured comment system.
Change audit
View the full history of changes, including the author, time, and content of each edit.
Analytics and forecasting
Project status
Track the number of files, objects, instances, and annotation changes at each stage of the workflow to always understand the current state of the project.
Team productivity
Analyze workflow speed by users, days, and stages, including annotation creation, editing, and verification, as well as average task completion time.
Project completion forecast
Estimate your expected completion date (ETA), track progress with burndown charts, and identify bottlenecks that could impact your timeline.
Operator analytics
Get detailed metrics for each team member, including productivity, quality of work, change trends, and target compliance.
Working time monitoring
View change history, work sessions, and team activity in real time.
Efficiency for your entire AI team
AI Program Managers
Full control over timelines and resources. Predictive analytics tools allow you to see real project progress, accurately predict dataset release dates, and effectively allocate budgets without exceeding deadlines.
Annotation Operations Teams
Smooth execution management: automatic task-pool allocation, protection against two people labeling the same frame, per-person performance tracking (speed, active time, KPIs), and fast onboarding of new annotators.
QA Managers
Automated quality control. Data consistency dashboards, flexible verification chains, and instant filtering of questionable tags for one-click re-verification.
Enterprise Customers
Absolute transparency of work performance. Ready-made guest dashboards where the customer can see the dataset readiness status, financial costs, and SLA compliance metrics in real time.
