Who it is built for
- AI teams building multimodal training datasets
- Teams fine-tuning and evaluating large language models
- Organizations developing RAG systems and AI agents
Human data and evaluation pipelines for AI teams
SuperAnnotate is a data platform for creating, curating, annotating, and evaluating multimodal training data. It combines customizable annotation workflows, quality review, managed expert talent, and integrations to support AI model training, fine-tuning, reinforcement learning, RAG evaluation, and agent development.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Customizable editors and annotation forms support image, video, text, and audio datasets.
Teams can create multi-layer annotation workflows and expert review cycles to improve data quality.
The platform supports human review and model feedback loops for RLHF, RAG evaluation, and agent evaluation.
Create a project, bring in multimodal data, and configure the annotation or evaluation workflow. Work with internal teams or SuperAnnotate's managed expert workforce, then review quality and feed the resulting datasets into model training, fine-tuning, or evaluation pipelines.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.