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Fast distributed SQL query engine for big data analytics.

Enterprise-grade data labeling platform for high-performance computer vision and sensor fusion.

Playment, now a core component of TELUS International's AI Data Solutions, is a high-performance data labeling platform designed specifically for the needs of computer vision and autonomous system development. The platform's technical architecture revolves around 'Ground Truth Studio' (GT Studio), a collaborative environment that integrates advanced tools for 2D images, video, and 3D point cloud (LiDAR) data. In the 2026 market landscape, Playment distinguishes itself through its specialized 'Sensor Fusion' capabilities, allowing developers to annotate across multiple sensor inputs simultaneously with temporal consistency. The platform leverages a hybrid intelligence model, combining AI-assisted auto-labeling with a massive, vetted global workforce of over 1 million workers. For enterprise-scale AI initiatives, Playment provides complex workflow orchestration, allowing for multi-stage quality control, custom ontology management, and seamless integration with existing MLOps pipelines. Its positioning is geared toward high-security, high-volume industries like automotive, retail, and medical imaging, where precision and data privacy (SOC2/GDPR) are non-negotiable for production-grade model training.
Playment, now a core component of TELUS International's AI Data Solutions, is a high-performance data labeling platform designed specifically for the needs of computer vision and autonomous system development.
Explore all tools that specialize in semantic segmentation. This domain focus ensures Playment delivers optimized results for this specific requirement.
Synchronized annotation across 2D camera images and 3D LiDAR point clouds, ensuring semantic consistency between sensors.
Uses pre-trained deep learning models to generate initial bounding boxes or masks for human verification.
Real-time auditing and consensus algorithms that route data to multiple labellers if confidence is low.
Specialized tools for labeling dense 3D point clouds with high-resolution segmentation masks.
Ability to assign specific data batches to vetted subject matter experts for niche domains like medical or legal.
Advanced tagging system to filter and search datasets based on specific environmental conditions or object density.
Direct communication channel between reviewers and labelers with visual error highlighting.
Initial consultation with TELUS International solutions architect to define project scope.
Access the GT Studio platform via enterprise credentials.
Connect cloud storage buckets (AWS S3, GCP, or Azure) to the Playment data connector.
Define the data ontology, including classes, attributes, and labeling instructions.
Configure the 'Quality Pipeline'—setting up consensus, gold standards, and review stages.
Upload a pilot batch of data to test the labeling instructions and ontology.
Calibrate AI-assisted labeling tools to pre-segment common objects for human review.
Scale up the project to the global workforce or internal labeling team.
Monitor real-time performance metrics and throughput via the Project Dashboard.
Export annotated data packages directly into the model training pipeline.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its robust LiDAR capabilities and the high quality of the managed workforce, though some find the enterprise onboarding process lengthy."
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