Integrations

Datasaur's ecosystem integrates with a wide range of technologies, providing powerful tools to accelerate your NLP and LLM project.

Project creation

Datasaur can import pre-labeled data from various sources and apply OCR model results directly to multiple documents.
Datasaur Schema
Amazon Textract
Google Cloud Vision

Labeling process

Datasaur will optimize and accelerate the labeling process through AI tools with human-in-the-loop and features such as Data Programming and Datasaur Assist, resulting a high-quality labeled data to unlocks the full potential of AI.
OpenAI
spaCy
Hugging Face

Project export

Datasaur allows you to export your labeled data in a wide range of generics formats, including popular machine learning services.
Amazon Comprehend
Azure AutoML
GCP Vertex AI
Hugging Face

Storage

Datasaur is designed to be seamlessly integrated with a wide range of cloud storage platforms.
AWS S3
Google Cloud Storage
Azure Blob Storage

Authentication

Datasaur supports Single Sign-On (SSO) and SAML (only for self-hosted) authentication methods. Datasaur also offers Two-Factor Authentication (2FA) in the form of Time-based One-Time Password (TOTP) to provide an extra layer of security for your account.
Google OAuth 2.0
Okta

App development

Access the full benefits of Datasaur directly on https://app.datasaur.ai, or choose to deploy Datasaur to your server using the self-hosted approach to fully isolate your data and configure the app to your specific needs.
Foundation
Kubernetes
Docker
Database
MariaDB
MySQL
Cache
Redis
Queue
RabbitMQ
Table of contents
Testing Long Sentence
Test
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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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