Super Annotate
A comprehensive platform designed to optimize AI data annotation and evaluation workflows for faster, higher-quality results.
About Super Annotate
SuperAnnotate is an all-in-one platform that streamlines AI data workflows, enabling organizations to develop feedback-driven annotation and evaluation pipelines. It accelerates the creation and management of high-quality AI datasets across diverse use cases by centralizing data collaboration. Supporting multimodal, image, video, NLP, and audio data types, SuperAnnotate is ideal for advanced AI initiatives such as RLHF, SFT, Agents, and RAG. Its seamless integration with existing AI stacks and data sources minimizes infrastructure complexity, empowering teams to innovate efficiently and scale their AI projects effectively.
How to Use
Create custom annotation interfaces using drag-and-drop tools or templates in Builder. Connect data storage and import large datasets easily. Define annotation stages, incorporate automated review layers, and automate tasks with Orchestra. Manage teams and vendors, monitor performance, compare costs, and standardize quality. Annotate, comment, and refine datasets in an intuitive workspace before exporting to training or downstream systems.
Features
- Unified platform for AI data collaboration
- Feedback-based annotation and evaluation pipelines
- Advanced project management with real-time analytics
- Multi-format editor supporting images, videos, text, and audio
- Automation for continuous integration and deployment pipelines
- Enterprise security standards including SOC 2, ISO 27001, GDPR, and HIPAA
- Tools for data exploration, version control, and curation
- Easy integration with popular AI tools and data sources
- Marketplace for vetted annotation teams and experts
Use Cases
- Managing AI datasets across industries like healthcare, autonomous driving, and NLP
- Creating fine-tuning datasets (SFT) with custom data
- Accelerating Generative AI development
- Optimizing retrieval-augmented generation (RAG) systems
- Building large-scale datasets for reinforcement learning from human feedback (RLHF)
- Performing detailed model evaluation and analysis
- Reviewing agent behaviors and decision-making processes
Best For
Pros
- Highly rated on G2 for efficiency and data quality improvements, including faster model training and higher accuracy.
- Provides a vetted marketplace for professional annotation teams.
- Flexible, customizable annotation interfaces with powerful automation tools.
- Ensures compliance and security with industry-leading standards like SOC 2 and ISO 27001.
- Robust project tracking, analytics, and feedback features enhance productivity.
- Integrates smoothly with major AI platforms such as AWS, NVIDIA, and Databricks.
- Streamlines AI data workflows, reducing time and effort needed for dataset creation.
- Supports a wide range of data types within a centralized collaboration environment.
Cons
- Advanced features may require a learning curve for new users.
- Pricing details for higher-tier plans are available upon request, not publicly listed.
Pricing Plans
Choose the perfect plan. All plans include 24/7 support.
Starter
Ideal for small projects and initial testing. Includes customizable multimodal editing, data management, analytics, team collaboration, and onboarding support, with 1,000 compute hours for orchestration.
Get StartedPro
Designed for scaling complex AI projects and MLOps. Offers all Starter features plus 2,500 orchestration hours, SSO, dedicated Slack support, and a customer success manager.
Get StartedEnterprise
Best suited for large-scale, high-volume AI initiatives. Includes all Pro features, 10,000 orchestration hours, a dedicated solutions engineer, and AI DataOps consulting for extensive deployment.
Get Started