SuperAnnotate
A platform for building feedback-driven annotation and evaluation pipelines for AI data.
Introduction
SuperAnnotate is a platform for managing AI data work, from annotation to evaluation. Teams can build custom annotation interfaces, set up review stages, and automate repetitive tasks with code. It supports image, video, text, and audio data, and targets use cases such as RLHF, fine-tuning, agent evaluation, and RAG systems.
- Added on
- Nov 2, 2026
- Website
- www.superannotate.com
- Pricing model
- Free Trial
- Company
- SuperAnnotate AI, Inc.
Product information
What is SuperAnnotate?
A platform for annotating and evaluating AI training data across multimodal datasets.
How to use SuperAnnotate?
Build annotation interfaces with the drag-and-drop Builder or templates, import datasets, define annotation stages with review layers, and export the results to training pipelines.
Core features of SuperAnnotate
- Feedback-driven annotation pipelines
- Multimodal editor for image, video, text, and audio
- Orchestration and task automation
- Data curation and versioning
- Project management and analytics
Use cases of SuperAnnotate
- 1Building preference datasets for RLHF
- 2Creating fine-tuning (SFT) datasets
- 3Reviewing agent behavior
- 4Evaluating RAG systems
Frequently asked questions about SuperAnnotate
What data types does SuperAnnotate support?+
Image, video, natural language text, and audio.
Does SuperAnnotate integrate with other AI tools?+
Yes. It connects to data sources and training pipelines, with partnerships that include Databricks, NVIDIA, GCP, Snowflake, AWS, and IBM.
Is SuperAnnotate compliant with data regulations?+
The company reports SOC 2 Type II and ISO/IEC 27001:2022 certifications, supports GDPR, CCPA, and HIPAA compliance efforts, and offers SSO and 2FA.
Which category is SuperAnnotate in?+
SuperAnnotate is listed under AI Code Editor, AI Workflow Automation.
Tags
ai data annotationai workflowdata labelingmodel evaluationai project managementSuperAnnotate alternatives
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