Datasaur

Streamline NLP labeling, develop private LLMs efficiently.. [Contact for Pricing]

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What is Datasaur?

Datasaur is a web-based data labeling platform designed for training NLP and LLM models, offering intelligent tools for data science teams working on natural language processing projects. The platform streamlines the data labeling process with support for span-based labeling, row-based classification, document classification, OCR labeling, bounding box labeling, audio labeling, and conversational labeling. Datasaur leverages state-of-the-art intelligence to automate labeling work through ML-assisted labeling and predictive labeling features.

Key features include workforce management tools that allow assigning projects to multiple labelers, cross-validation capabilities, automatic inter-annotator agreement calculation, and a robust label reviewing interface for QA. The platform supports API integration with data pipelines on AWS, Azure, and other storage systems, file transformation for converting any text format, and data programming extensions for rule-based automated labeling. LLM Labs provides free access to LLM fine-tuning and RLHF (Reinforcement Learning from Human Feedback) tools for ranking and evaluation.

Datasaur is ideal for data science teams at organizations like Google, Netflix, Zoom, Stanford, Harvard, and Oxford, as well as individuals and academics. The platform serves teams still using Excel or in-house tools who need significant cost-savings and improved training data quality. For enterprises requiring data privacy, Datasaur also builds private LLMs deployed behind firewalls for regulated industries including legal, healthcare, finance, insurance, eCommerce, and government.

The platform emphasizes efficiency, quality, and data security with AES-256 encryption, HIPAA/SOC2/GDPR compliance, and options for air-gapped systems. Users benefit from an intuitive interface, smooth onboarding, and excellent customer support with responsive turnaround times for resolutions.

Datasaur pricing

Pricing model: Freemium

Datasaur offers a free tier for individuals and academics accessible by clicking 'Start for free' on the Pricing Page. For enterprise private LLM solutions, four paid tiers are available: (1) Specific Workflow starting from $50K/year including streamlining standard workflows with AI, scoping, implementation and optimization, ideal as pilot project; (2) Starter Engagement starting from $85K/year including proof of concept or pilot project with rapid validation of AI use cases, ideal for teams exploring what's possible; (3) Enterprise Pilot starting from $150K/year including everything in Starter Engagement plus end-to-end workflow automation or LLM integration with compliance and security included by design, ideal for departments ready to move from concept to production; (4) Strategic Partnership with custom pricing including everything in Enterprise Pilot plus multi-department rollout, custom governance/compliance/training, and ongoing support and optimization. LLM Labs suite is currently free for any user.

Datasaur pros

  • Free tier available for individuals and academics
  • Supports 7+ NLP labeling task types including span, row, and document labeling
  • ML-assisted labeling automates work with AI suggestions
  • Automatic inter-annotator agreement calculation for quality control
  • Full API support for every UI feature and setting
  • Works with any human language including Cyrillic, Arabic, and Mandarin
  • File Transformer converts any text format Automatically
  • Multi-pass labeling allows multiple labelers on same data
  • LLM Labs suite is completely free for any user
  • HIPAA, SOC2, and GDPR compliant for regulated industries
  • Can be installed on your own cloud environment for data control
  • Integrates seamlessly with AWS, Azure, and other data storage
  • Predictive labeling boosts efficiency and reduces labeling time
  • Data programming extension for rule-based automated labeling
  • Intuitive interface with smooth onboarding experience
  • Excellent customer support with responsive turnaround times
  • Built by industry veterans with labeling expertise
  • Supports pre-annotated file imports

Datasaur cons

  • No publicly listed pricing - requires sales contact for enterprise plans
  • Enterprise private LLM plans start at $50K/year which is expensive for small teams
  • Data Studio features primarily focused on text/NLP not computer vision
  • Custom labeling model integration requires API knowledge
  • No free tier mentioned for enterprise private LLM deployment
  • Air-gapped system support requires custom enterprise engagement
  • File Transformer may require configuration for complex formats
  • ML-assisted labeling requires setting up your own model via API

Frequently asked questions about Datasaur

How do I sign up for Datasaur?

Datasaur has tiers for free users available to individuals and academics. Visit the Pricing Page and click the 'Start for free' button, which will direct you to the sign-up page.

What NLP labeling tasks does Datasaur support?

Datasaur was built from the ground up with text and NLP in mind. It supports named entity recognition, text classification, coreference resolution, span-based labeling, row-based classification, document classification, OCR labeling, bounding box labeling, audio labeling, and conversational labeling.

Does Datasaur support LLM tasks?

Yes, Datasaur now supports tasks related to LLMs including LLM Ranking and Evaluation. The LLM Labs suite provides tools for LLM fine-tuning and RLHF (Reinforcement Learning from Human Feedback), and is currently free for any user.

Does Datasaur have API support?

Yes! Datasaur's architecture allows every UI feature and setting to be accessible through the API. Customers integrate Datasaur directly with their data pipelines on AWS, Azure, or other data storage systems.

What file formats can I upload to Datasaur?

Datasaur natively supports most text formats including .csv, .txt, .pdf, and .ppt. The File Transformer feature allows you to automatically convert files in any text format into a project that Datasaur can read and display.

Can I use my own labeling model in Datasaur?

Yes, Datasaur has a feature called ML-assisted Labeling. You can integrate and call your labeling model through an API to automatically apply labels to your project. Datasaur also supports pre-annotated files.

Does Datasaur support multi-pass labeling with multiple labelers?

Yes, Datasaur was built from scratch to allow multiple labelers and reviewers to be assigned to the same project, enabling cross-validation of results.

Does Datasaur calculate inter-annotator agreement?

Yes, Datasaur automatically calculates and shows inter-annotator agreement when multiple labelers are assigned to the same project. This helps determine who might be qualified to be promoted to reviewer or who might require more training.

What languages does Datasaur support?

Datasaur is operable with a vast majority of human languages, including ones with unique alphabets such as Cyrillic, Arabic, and Mandarin. The platform has not yet encountered a language it doesn't support.

How secure is my data with Datasaur?

Datasaur is HIPAA, SOC2, and GDPR compliant. All data is AES-256 encrypted on their publicly hosted AWS infrastructure. They have passed security questionnaires from Fortune 100 companies and support clients requiring air-gapped systems. Datasaur can also be installed directly on your cloud environment for complete data control.

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