Sold by: SuperAnnotate
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
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Delivery method
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Software | SuperAnnotate platform | $50,000.00 |
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.
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) .
Content disclaimer
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.
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.
Resources
Vendor resources
Support
Vendor support
Contact us by:
- Emailing us at support@superannotate.com
- Checking out the Resource Center on our platform
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.
Updated weekly
By SuperAnnotate
By Dataloop AI/GenAI development platform
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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.
Standard contract
No
Customer reviews
abdelhak s.
Intuitive Design, High-Quality Data Output
Reviewed on Mar 07, 2026
Review provided by G2
What do you like best about the product?
I appreciate that SuperAnnotate helps produce high-quality training data. Everything about it feels very structured and intuitive, which stands out to me. I also like that it provides courses for newcomers, making it easier to get started. The initial setup was really easy, which I would rate 9 out of 10.
What do you dislike about the product?
nothing
What problems is the product solving and how is that benefiting you?
SuperAnnotate helps produce high-quality training data and is structured and intuitive.
Josh P.
SuperAnnotate's Game-Changing Multimodal Data Labeling
Reviewed on Mar 05, 2026
Review provided by G2
What do you like best about the product?
I use SuperAnnotate for high-quality data labeling and evaluating AI model responses. Its AI-powered automation and customizable interface significantly enhance annotation efficiency. I value its seamless multimodal integration and robust quality control features. The customizable workflows allow for high-precision labeling in complex fields like physics, while the AI-powered automation significantly accelerates the evaluation process without sacrificing the accuracy my models require. I particularly enjoy the active learning loops and fine-grained permissioning. The ability to automatically surface high-uncertainty samples for human review ensures our physics and finance datasets are both accurate and cost-effective, while keeping sensitive data secure and organized. The setup was surprisingly straightforward. Connecting our AWS S3 buckets took minutes, and the Python SDK allowed us to automate project creation immediately. While the advanced multimodal workflows required some initial tuning, the platform’s pre-built templates significantly accelerated our launch. I would give it a 9 out of 10. It’s an essential, high-performance tool for anyone managing complex, multimodal AI projects.
What do you dislike about the product?
While SuperAnnotate is powerful, it isn’t without friction. Common pain points include performance lag when handling massive datasets and a steep learning curve for its more advanced features. Some users also find the customization options for specific labeling interfaces occasionally restrictive for highly niche workflows.
What problems is the product solving and how is that benefiting you?
I use SuperAnnotate for high-quality data labeling and evaluating AI model responses. It streamlines quality control with AI-assisted labeling and automated QA, offering full visibility and improving efficiency in complex physics and finance workflows.
olusola o.
User-Friendly with Easy Setup, Minor Login Challenge
Reviewed on Mar 03, 2026
Review provided by G2
What do you like best about the product?
I like SuperAnnotate because the environment is very easy to work around, making it easy for me to navigate the platform. It feels super easy to use, and I don't have trouble finding my way around.
What do you dislike about the product?
I think, probably, when you try to log in, that's the major challenge I have in the first instance. So maybe that can be made much more easier.
What problems is the product solving and how is that benefiting you?
I find it easy to look at different models of responses and provide feedback with limited stress.
Youness b.
Effortless AI Training and Support
Reviewed on Mar 01, 2026
Review provided by G2
What do you like best about the product?
I like that they are super active on the platform because there is always maintenance and they are always solving problems and updating their platform. It makes me feel like my voice is heard when I face a problem. So the team always solves it and updates the platform. It makes the platform valuable for me because it's super smooth, especially since they have tutorials and videos to guide you through.
What do you dislike about the product?
It was slow, but it is fixed now.
What problems is the product solving and how is that benefiting you?
I use SuperAnnotate for AI training, linking every aspect from data collection to management and analysis. It offers tutorials and bridges between trainers and employers, providing a smooth training process.
Mohammed z.
Fast, intuitive, and reliable for complex data annotation tasks
Reviewed on Mar 01, 2026
Review provided by G2
What do you like best about the product?
What I love most is how intuitive and user-friendly the interface is, especially for complex data annotation tasks. The toolset is incredibly robust, and the keyboard shortcuts are an absolute lifesaver when working on large batches. It makes the whole workflow much faster and more efficient without compromising on quality.
What do you dislike about the product?
There isn't much to dislike, but if I had to point out something, it would be the initial learning curve. Because there are so many advanced features, it takes a little bit of time to get fully comfortable with the workspace. Also, the browser can occasionally lag slightly if you are working with a massive batch of ultra-high-resolution images, but it's rarely a major issue.
What problems is the product solving and how is that benefiting you?
As someone working in AI training and data annotation, accuracy and speed are everything. SuperAnnotate solves the problem of clunky, slow annotation workflows. It allows me to deliver high-quality, accurately labeled data much faster. The main benefit for me is a huge boost in daily productivity and seamless quality control.