Provides a unified environment to design custom annotation interfaces, orchestrate automated workflows, and scale annotation through managed teams or integrations. It supports multimodal data (image, video, text, audio) and offers specialized tooling for tasks like fine-tuning, RLHF, RAG pipelines, and agent evaluation.

Includes project management, performance tracking, versioning, and review cycles to enforce quality and speed up iteration. Marketplace and vendor management let teams hire vetted annotators while keeping visibility into cost and quality.

Integrates with common data storage and training pipelines, and emphasizes enterprise security and compliance (SOC 2, ISO, GDPR, HIPAA). Use cases span model evaluation, dataset curation, and building feedback-driven AI development workflows.