TELUS Digital

Playment (now TELUS Digital) provides a managed workforce and annotation tools to label training data for machine learning models. It handles everything from bounding boxes to semantic segmentation, with quality checks built into the workflow.

What it does

You upload raw data (images, videos, text, or audio), define labeling tasks (e.g., draw polygons around objects, classify sentiment), and Playment’s crowd or dedicated annotators complete the work. The platform includes automated quality control, real-time dashboards, and integrations with ML pipelines.

Best for

• AI startups needing large-scale labeled datasets quickly
• Autonomous vehicle teams requiring precise object detection annotations
• NLP projects that need text classification or entity recognition labels

Strengths

• Managed workforce reduces in-house annotation overhead
• Supports multiple data types: image, video, text, audio, and 3D point clouds
• Built-in quality assurance with consensus scoring and rework loops

• Multi-modal annotation — bounding boxes, polygons, keypoints, semantic segmentation, text classification, audio transcription
• Managed workforce — access to trained annotators with domain expertise
• Quality control — automated checks, consensus scoring, and rework workflows
• Real-time dashboards — track progress, throughput, and annotation accuracy
• API & SDK — integrate with your ML pipeline or custom tools
• Data security — SOC 2 compliant, data encryption at rest and in transit