SuperAnnotate

SuperAnnotate is a data annotation platform designed to support the creation and management of AI training data. It is intended for teams building agentic, multimodal, and frontier AI systems. The platform enables users to build human data and evaluation pipelines, which can be used for tasks ranging from supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to evaluating AI agents and orchestrating retrieval-augmented generation (RAG) processes. Key capabilities include labeling multimodal data within a single environment and feeding that data directly into AI development workflows for model training, fine-tuning, and evaluation. Users can create custom multimodal annotation forms to transform proprietary domain data. The platform also provides tools for ensuring data quality, such as setting up custom, multi-layer annotation workflows and expert review cycles. It supports feedback-driven iteration by incorporating human review and models in the loop throughout the AI development lifecycle. Additionally, SuperAnnotate integrates with external data sources, model training pipelines, and other tools to reduce infrastructure complexity. The platform is described as enterprise-grade in terms of security and compliance.