Alibaba Cloud PAI iTAG vs Dataloop

Alibaba Cloud PAI iTAG is a data-labeling platform for image, text, video, audio and multimodal datasets. Built-in image tasks include classification, object detection, OCR, table recognition and semantic segmentation; official templates also cover image-text explanation, conversation ranking, visual question answering and video OCR. Teams can use official or tenant templates, or create templates for business-specific labeling. A job brings together an OSS-backed dataset and template with labels, subtasks, checks, labelers and reviewers. Manual labeling is free, and selected large-model labeling templates are currently free; OSS storage and data transfer are billed separately. Input data must be in Alibaba Cloud OSS, and the workspace and bucket must be in the same region. Dataset imports require an index file rather than a direct path to a folder of raw files. From August 1, 2026, iTAG 1.0 is allowlist-only and in maintenance mode. Existing customers with prior labeling tasks or datasets can continue using current features. New users seeking AI-powered automatic dataset labeling are directed to Multimodal Data Management. API operations include listing, creating, updating and deleting templates and labeling tasks.

Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.