Datasaur is now partnering with AWS

We combine cutting-edge technology with the power and scalability of the AWS cloud to revolutionize NLP and LLM projects.

Trusted by

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

Optimize your NLP Labeling projects via

Try our platform to boost the efficiency of your NLP projects by 9.6x, enhancing the speed and accuracy of your data annotation for better performance via AWS Marketplace.
Buy with AWS
Go to AWS Marketplace

Optimize model quality with LLM Labs via

LLM Labs helps you build the perfect balance for your LLM answers. Provide your LLM with specific domain context, evaluate, and iterate multiple models for accuracy, inference time, and cost.

Optimize model quality with LLM Labs via AWS Marketplace Logo

Buy with AWS
Go to AWS Marketplace

Featured Integrations

Datasaur integrates seamlessly with AWS, offering a flexible, feature-rich labeling solution. Host your instance on AWS, customize server specs, scale as needed, and leverage AWS security and reliability.
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 supports self-hosting on AWS, giving you full control over your labeling environment while meeting security and compliance needs. Datasaur is fully integrated with these services 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

"We compared Datasaur to 55 other tools, and in that exhaustive comparison -- we found Datasaur to have the most complete suite of tooling."

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"Datasaur enabled us to automate our entire QA pipeline, we know what has been labeled (and the quality of each label) every 5 minutes without touching anything. It's all automated."

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

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"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."

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"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."

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

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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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