WORKERSPACE is a domain-specialized AX dataset construction annotation authoring tool platform that creates data AI can understand, tailored to the characteristics of data in each domain, such as broadcast video and 3D datasets.
SFACSPACE is building core datasets for the development of Korean AI models in collaboration with leading domestic broadcasting, media, and cultural institutions.
Feature 01
Provides a task list by category
Tasks are organized and provided by content type, such as documentaries, entertainment, sports, and news.
Workers can quickly navigate only the areas that match their role,
and can jump straight into work without unnecessary browsing.
Task Progress Management by Status
Clearly displays work statuses such as available for review and under review on a per-card basis.
You can grasp each task’s progress and required time at a glance,
making it easier to distribute work and determine review priorities.
Feature 02
Providing a domain-specific work environment
We optimize screen composition and workflow for specific domains.
Video, timeline, text, and metadata are organically connected on a single screen,
allowing users to focus on decision-making and editing without losing context.
Provides management features for each clip
Clips within a video are separated by unit, and their status, time, content, and work history are managed individually.
For each clip, you can clearly check annotations, summaries, and review status,
allowing even large volumes of video to be managed systematically and enabling fast collaboration.
Feature 03
Understanding information by crowd worker
You can view each worker’s working hours, completed workload, and work patterns on a single screen.
Attendance records and work history are organized together, allowing you to quickly understand each worker’s status and contribution.
Work Statistics Management by Crowd Worker
Work statuses such as Passed, Pending, and Rejected are aggregated and provided on a per-worker basis.
You can review workload and quality indicators together, making management and decision-making based on operational standards clearer.
