The most advanced NLP data labeling tool now partnering with AWS

The most advanced NLP data labeling tool has partnered with AWS, combining cutting-edge technology with the power and scalability of the AWS cloud to revolutionize NLP projects and accelerate machine learning model training.

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The most robust NLP Labeling & LLM platform choice for cutting-edge organizations around the world.

Optimize your data annotation and improve model performance with Datasaur

Explore our NLP Labeling tool and LLM Labs on AWS Marketplace. Discover how each product can help optimize your data annotation and improve model performance.
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Overview

Datasaur is designed to integrate seamlessly with your existing AWS services, providing a flexible and feature-rich solution for all your data labeling needs. You can also host your own instance of Datasaur on AWS and customize the server specs to meet the specific needs of your organization. This includes the ability to scale up or down as your data labeling needs change, as well as take advantage of the security and reliability features that come with AWS.

Featured Integrations

1.
Integrate your own S3 buckets to seamlessly transfer data to Datasaur projects. This will allow you to directly fetch data from and into your bucket when using the app.
2.
You can directly integrate results from Amazon Textract to be used as OCR annotations when creating projects at Datasaur.
3.
Focus on labeling on the Datasaur platform, and use our SageMaker integration to automatically train an NLP model in minutes.
4.
Alternatively, you can also export the annotation results in a format that is compatible with Amazon Comprehend.

Self-Hosted with AWS

Datasaur can also be deployed as a self-hosted solution on AWS. This allows you to have complete control over your data labeling environment, and it also allows you to comply with any specific security or compliance requirements. Datasaur is fully integrated with these services below as the building block of the application.
Amazon Elastic Kubernetes Service (EKS)
The foundation of the solution. It is so much easier to use a managed service to configure a Kubernetes cluster.
Amazon Relational Database Service (RDS)
Database service of choice without ever having to worry about resilience, quality, and backup.
Amazon MQ
RabbitMQ service to handle long running jobs with complex processes.
Amazon ElastiCache
Redis service to handle sessions.
Amazon S3
Object storage service that will be used to store labeling data.
Amazon SageMaker
Machine learning platform that supports Datasaur Assist and ML-Assisted Labeling features.
Amazon Simple Email Service (SES)
Email platform used to send notifications and messages for Datasaur users.
Amazon Textract
Automatically extract printed text, handwriting, and data from any document
Amazon Bedrock
AWS service for building and scaling generative AI applications

As seen on

"Integrating the platform with our AWS environment has been seamless, providing us with scalable data labeling capabilities."

-  Ontra (Legal-tech company)

"We found the entire platform incredibly intuitive and easy to navigate. Onboarding was smooth and we were able to quickly adopt their automation tooling which was very important for us when considering a labeling platform."

-  Project Manager at

"We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively all while maintaining the personal touch you would expect from a start-up."

-  Eric Olson, Co-Founder & CEO

"Our experience was pretty great. I enjoyed my time on Datasaur."

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"The customer support team stands out for their efficient, effective solutions. Their quick response time has minimized downtime and enhanced our productivity."

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"Instead of manually creating each project, we’re able to automate the project creation. Instead of manually scrolling through hundreds of medical labels, we can rely on search functions. This has saved admins and team members a lot of time in their project workflows."

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