Super Annotate

A comprehensive platform designed to optimize AI data annotation and evaluation workflows for faster, higher-quality results.

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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

AI Model DevelopersData ScientistsMachine Learning EngineersEnterprise AI TeamsData Operations ManagersAI Project LeadersVendor ManagersResearch Teams

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 for your needs. All plans include 24/7 support and regular updates.

Starter

Free trial available

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.

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Pro

Request a demo

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.

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Enterprise

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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.

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Frequently Asked Questions

Find answers to common questions about Super Annotate

What data formats does SuperAnnotate support?

SuperAnnotate supports a variety of data types including images, videos, text, and audio for comprehensive AI data workflows.

Which AI projects can benefit from SuperAnnotate?

SuperAnnotate is ideal for RLHF, SFT, agent development, RAG systems, and general model evaluation.

Can SuperAnnotate integrate with existing AI tools?

Yes, it connects seamlessly with data sources, training pipelines, and platforms like GCP, AWS, NVIDIA, and Snowflake.

Is data security and compliance guaranteed?

Absolutely. SuperAnnotate meets industry standards like SOC 2 and ISO 27001, and complies with GDPR, CCPA, and HIPAA. It also supports SSO and 2FA.

How does team management work on the platform?

SuperAnnotate offers centralized team collaboration features, enabling task assignment, performance tracking, and direct feedback on annotations.