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    SuperAnnotate Pro

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    Deployed on AWS
    Empowering Enterprises to Build, Manage, Curate, and Fine-tune Datasets for Generative AI and ML Applications.
    4.9

    Overview

    SuperAnnotate enables superior AI model development with an integrated platform, offering a suite of tools for Machine Learning and Data teams. This includes advanced capabilities for data annotation and data fine-tuning, dataset management and curation, efficient ML pipeline orchestration, and access to expert workforces for generating high-quality training data. With SuperAnnotate, enterprises can build world-class Generative AI, Computer Vision, and NLP applications. SuperAnnotate is trusted by leading enterprises such as IBM, Databricks, Motorola Solutions, and Aurora Solar.

    Highlights

    • Build customizable UIs for any NLP, CV, LLM or GenAI application. Use any available API to generate, rate or compare several model outputs. Fine-tune and improve the best AI-ready dataset to further power your AI.
    • Explore helps to understand your model performance, track it over time, find potential edge cases and mistakes in your dataset including: Vector-based/Similarity search, Data visualization and exploration, Data management, Zero / Few-shot learning, Interactive dashboards, analytics, insights.
    • Find expert workforces like linguists, STEM experts, coders, and others from our network of specialists.

    Details

    Delivery method

    Deployed on AWS
    New

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    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    SuperAnnotate Pro

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Software
    SuperAnnotate platform
    $50,000.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    additional
    Additional Billing
    $0.01

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Support

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    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    25
    In Data Labeling Services
    Top
    50
    In Data Preparation
    Top
    25
    In Data Labeling Services

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    0 reviews
    Insufficient data
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    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Data Annotation and Labeling
    Advanced capabilities for annotating data across NLP, Computer Vision, LLM, and Generative AI applications with customizable user interfaces.
    Dataset Management and Curation
    Tools for building, managing, and curating AI-ready datasets with data visualization, exploration, and interactive dashboards for tracking dataset quality.
    Model Performance Analysis
    Vector-based similarity search and analytics capabilities to understand model performance, identify edge cases, mistakes in datasets, and track performance over time.
    Fine-tuning and Model Optimization
    Functionality to fine-tune and improve datasets by generating, rating, and comparing multiple model outputs to enhance AI model performance.
    ML Pipeline Orchestration
    Integrated platform for orchestrating machine learning workflows with support for zero-shot and few-shot learning capabilities.
    Generative AI and RAG Pipeline Deployment
    Deploy RAG pipelines for GenAI solutions including summarization, chatbots, and data preparation with support for RLHF and RLAIF incorporation.
    Unstructured Data Management and Analysis
    Explore and analyze unstructured data from diverse sources with automated preprocessing, embeddings generation, and similarity identification capabilities.
    Model Versioning and Experimentation
    Version, experiment, compare, and fine-tune AI models with production deployment capabilities without requiring external tool integration.
    Workflow Orchestration with Drag-and-Drop Interface
    Orchestrate data, models, applications, and human feedback using a drag-and-drop interface or Python SDK with pre-created pipeline templates.
    Enterprise Security and Compliance
    Implement GDPR, ISO 27001, ISO 27701, and SOC 2 Type II compliance with RBAC, SSO, 2FA, AES-256 encryption, and granular audit trail capabilities.
    Advanced Annotation Capabilities
    Support for multiple data types including text, images, medical formats (DICOM, NIfTI, TIFF), and long videos up to 100K+ frames with customizable annotation workflows.
    Dataset Management and Versioning
    Intuitive dataset management system with versioning capabilities for organizing and tracking training data iterations.
    Human-in-the-Loop Workflow
    Integrated human-in-the-loop element enabling continuous model improvement through human feedback and validation in the training pipeline.
    Quality Assurance and Monitoring
    Rigorous QA solutions with hourly precision annotator statistics and comprehensive monitoring for training data quality validation.
    Regulatory Compliance Standards
    Compliance with GDPR, HIPAA, SOC 2, and FDA standards for creating regulator-friendly AI products.

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.9
    223 ratings
    5 star
    4 star
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    1 star
    96%
    4%
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    0 AWS reviews
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    223 external reviews
    External reviews are from G2 .
    Llan Leighdrielle L.

    Fast, Easy to Use, and Great Downtime Notifications

    Reviewed on Feb 12, 2026
    Review provided by G2
    What do you like best about the product?
    There's no lag upon using it. It's also convenient and easy to use, We've been using it for 2 years already. The notification of its downtime is also a huge plus. So, annotators are aware of when will be the downtime.
    What do you dislike about the product?
    We haven't experienced problems yet within my shift.
    What problems is the product solving and how is that benefiting you?
    It is already arranged per item so it's much faster and convenient.
    Washington M.

    SuperAnnotate. The Best Environment for Code Annotation and RLHF

    Reviewed on Feb 11, 2026
    Review provided by G2
    What do you like best about the product?
    I use SuperAnnotate for data annotation and RLHF tasks, specifically focusing on evaluating code quality and training AI models. It solves the problem of finding a reliable and professional platform for annotation work, eliminating issues with inconsistent payments and poor communication. I love their strict vetting process which ensures a high standard of quality, and their support team resolves any blockers instantly. I really like the combination of timely payments, excellent communication from support, and a professional working environment. I value the intuitive annotation interface the most, allowing for a smooth workflow without clutter, making it easy to focus on evaluating code quality efficiently. The initial setup was also very seamless.
    What do you dislike about the product?
    So far, I have not encountered any significant downsides. The Platform functions smoothly and any minor questions I've had were resolved quickly by support.
    What problems is the product solving and how is that benefiting you?
    I find SuperAnnotate solves the problem of finding a reliable and professional platform for annotation work, eliminating issues with inconsistent payments and poor communication. Their strict vetting ensures high quality, and support resolves blockers instantly.
    Aman B.

    Flawless Team Collaboration and Easy Setup

    Reviewed on Feb 07, 2026
    Review provided by G2
    What do you like best about the product?
    I really like working with SuperAnnotate and I appreciate how you can share your work, get it reviewed by a reviewer, and follow all the SOPs. It's really great from access to the first task.
    What do you dislike about the product?
    Na
    What problems is the product solving and how is that benefiting you?
    I use SuperAnnotate for teamwork collaboration, where it allows me to share my work, get reviews, and follow all SOPs.
    Elisa A.

    Intuitive Interface and Super Easy Installation

    Reviewed on Feb 03, 2026
    Review provided by G2
    What do you like best about the product?
    I really like the very clear and essential UI of SuperAnnotate. The messages provided are clear, and the paths to find the various elements are also clear, which makes everything essential and doesn't make you get lost. The initial installation was also super easy, everything very guided and straight to the point.
    What do you dislike about the product?
    I've only been using it for a month. For now, I have nothing to report.
    What problems is the product solving and how is that benefiting you?
    SuperAnnotate provides me with the data to label, makes the workflow easy and fast, and has a clear and essential UI that doesn't waste time. Additionally, the installation is super easy and everything is very guided.
    Cynthia M.

    A Must-Have for High-Quality Data Annotation

    Reviewed on Feb 02, 2026
    Review provided by G2
    What do you like best about the product?
    One of the things I like most about SuperAnnotate is its comprehensive and professional approach to data annotation. The platform is designed not just as a simple labeling tool, but as a complete ecosystem that supports the entire annotation workflow from start to finish, making it especially suitable for large-scale and long-term machine learning projects. A standout feature of SuperAnnotate is its wide range of annotation tools, including bounding boxes, polygons, polylines, keypoints, and semantic segmentation. This flexibility is valuable for different projects requiring various annotation methods. Another aspect I really appreciate is the video annotation and object tracking capability, which saves a significant amount of time and improves consistency. The collaboration and team management features also stand out, as SuperAnnotate allows multiple users to work on the same project with clear roles, reducing confusion and ensuring accountability. Quality control is another strong point, with built-in review and approval workflows that help maintain high standards. I also like how well SuperAnnotate integrates with machine learning pipelines, allowing seamless transition from annotation to model training. The user interface and overall usability are also commendable, with tools clearly laid out and workflows logical, aiding productivity even with a short learning period.
    What do you dislike about the product?
    Although SuperAnnotate is a powerful and well-designed data annotation platform, there are still a few areas where it does not work as well as expected or could be improved. New users may find it complex at first, especially when working with advanced annotation tools. In addition, the platform is more suitable for professional or enterprise use, which may make it costly for small teams or individual users. Performance can be an issue when working with very large datasets or high-resolution videos, leading to increased loading times. The initial setup and configuration of integrations can be technically demanding. There could be improvements in AI-assisted annotation to further reduce manual effort. Finally, there is room for more customization options for workflows and the user interface.
    What problems is the product solving and how is that benefiting you?
    SuperAnnotate solves data labeling, annotation speed, collaboration, quality control, and integration issues, enhancing work efficiency and data quality for AI systems.
    View all reviews