Sold by: SuperAnnotate
Deployed on AWS
Empowering Enterprises to Build, Manage, Curate, and Fine-tune Datasets for Generative AI and ML Applications.
4.8
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
Sold by
Categories
Delivery method
Deployed on AWS
New
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
Youssef Benaouda
Collaborative audio projects have become faster and maintain high-quality transcriptions
Reviewed on Jun 07, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for SuperAnnotate is transcribing children's audio transcriptions on a project that was six months long. I have worked on SuperAnnotate performing classification tasks as well as transcription tasks.
What is most valuable?
The best features SuperAnnotate offers in my experience are especially the lateral tab on the right side, which I can use to select options depending on the task I am working on. I can easily select the classification for each audio file in my case. The transcription interface is also user-friendly, which is what makes me appreciate this platform.
These features make my work easier and more efficient during my project because I am able to perform a large volume of audio transcriptions and classifications in a very short period of time, all because of the easy interface that SuperAnnotate delivers.
SuperAnnotate has positively impacted my organization and team by helping to finish projects faster and improving accuracy. The freelancing project I worked on was with OpenAI Train, and I can see they have been using SuperAnnotate for a long time because of its efficiency and high accuracy rates.
What needs improvement?
SuperAnnotate can be improved, but I think all the essentials are already there. For the tasks I am working on, transcription and classification for audio files, everything I needed was available. I would not change anything about SuperAnnotate.
For how long have I used the solution?
I have been using SuperAnnotate for six months.
What other advice do I have?
In terms of collaboration, I appreciate the way the entire transcription pipeline is structured in SuperAnnotate because my project had many different phases in terms of the types of tasks that were completed. We had a team that performed the first phase transcription, then we had a quality assurance review with another team also working in SuperAnnotate. I was on the quality assurance team, meaning I was in the final phase to review everything that had already been reviewed by the first quality assurance team, including the first phase transcriptions.
Regarding SuperAnnotate's AI capabilities, I believe its accuracy and reliability of output depend on the quality of the annotations. If the annotators are doing excellent work, then SuperAnnotate will deliver the same quality results.
My advice for others considering SuperAnnotate is that they should give it some time initially. It can be a bit confusing, but with just a few hours of training, you can be completely efficient on the platform. I would rate my overall experience with SuperAnnotate a ten out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Ahmed R.
No active work found after joining SuperAnnotate
Reviewed on May 17, 2026
Review provided by G2
What do you like best about the product?
I think SuperAnnotate has a professional setup and potential in the AI field. From what I've seen, the task rates seemed reasonable compared to some similar platforms, and the payment methods also looked fairly convenient. The initial setup was guided by a video that explained the steps clearly, so the instructions themselves were easy to follow.
What do you dislike about the product?
I haven't been able to get any projects or earning opportunities on SuperAnnotate, even though I joined around 9 months ago. The platform could improve by providing more work opportunities for freelancers in the Middle East, especially in Egypt. The initial setup process was quite lengthy, taking about an hour and a half, and felt a bit discouraging because after completing everything, I didn't receive any tasks.
What problems is the product solving and how is that benefiting you?
I haven't personally benefited from SuperAnnotate yet since I haven't found active projects or earning opportunities. However, the platform looks professional and has potential for AI work, with reasonable task rates and convenient payment methods.
Lavisha B.
Intuitive, Fast Annotation with Strong Collaboration and Quality Controls
Reviewed on Apr 23, 2026
Review provided by G2
What do you like best about the product?
Its intuitive interface, fast annotation tools, and strong collaboration features make labeling efficient. The platform supports multiple data types, offers quality control workflows, and integrates well with existing pipelines, helping teams scale annotation projects with accuracy and consistency.
What do you dislike about the product?
Occasional performance slowdowns on large datasets
What problems is the product solving and how is that benefiting you?
SuperAnnotate addresses the complexity of managing large-scale data annotation by centralizing labeling, quality control, and team collaboration in one platform. This reduces manual coordination, improves consistency, and speeds up delivery, allowing us to build and iterate on high-quality training datasets more efficiently.
siddharth m.
Intuitive Interface with Fast AI/ML Data Labeling Workflows
Reviewed on Apr 13, 2026
Review provided by G2
What do you like best about the product?
I like its intuitive interface, fast annotation workflows, and strong support for AI/ML data labeling.
What do you dislike about the product?
Pricing can be high, and some advanced features have a learning curve.
What problems is the product solving and how is that benefiting you?
It streamlines data annotation and dataset management, reducing manual effort and improving the speed and quality of AI/ML model development.
Sajawal Z.
Streamlined Data Annotation with Superb Features
Reviewed on Apr 09, 2026
Review provided by G2
What do you like best about the product?
I like that SuperAnnotate allows me to organize large datasets in one place, which is much more convenient and directly affects how fast, accurate, and scalable my work can be. I appreciate the version control and change tracking features that help improve accuracy, debugging, teamwork, and speed in real projects. The initial setup was so easy, and the team is also very cooperative. I highly recommend SuperAnnotate.
What do you dislike about the product?
nothing, superannotate has very good feature and its really speedup the things for us
What problems is the product solving and how is that benefiting you?
I use SuperAnnotate for data annotation, managing large datasets conveniently, and version control enhances accuracy, debugging, and teamwork.