About
What is Datasaur?
Datasaur provides secure, private Large Language Models (LLMs) and AI-driven workflows specifically designed for regulated enterprises. The platform allows businesses to deploy custom AI solutions behind their own firewalls, ensuring full data privacy and compliance with strict security requirements. Datasaur transforms proprietary data into lasting advantages by turning general-purpose models into purpose-built systems, grounded in enterprise data, aligned with workflows, and governed by specific requirements. It activates documents, records, and institutional knowledge to power secure and high-impact workflows, offering solutions across industries like legal, healthcare, finance, insurance, e-commerce, and government. Datasaur also offers a Data Studio for data labeling and LLM Labs for LLM-related tasks, supporting various NLP labeling tasks and LLM ranking/evaluation.
Best used for
Ideal for data scientists and product managers who need to implement secure AI solutions, automate document-heavy workflows, and ensure regulatory compliance. Especially valuable for regulated industries like legal, healthcare, and finance that require strict control over sensitive data and intellectual property.
Common actions
GovernmentLLME-commercelegallarge language modelsautomated labelingaws integrationmediaadvanced securitynatural language processing+ 4 more
Capabilities
Key features
- Private LLM deployment
- Custom AI workflows
- Data privacy compliance
- ML-assisted labeling
- Inter-annotator agreement
- API support
Target Audience
data scientistproduct managerlawyerdoctoraccountant
Pricing & Plans
Paid · Enterprise · Custom
FAQs
How does Datasaur ensure data privacy and compliance for enterprises?
Datasaur deploys private LLMs entirely within your infrastructure, ensuring your data never leaves your servers, isn’t stored externally, and isn’t used to train other models. It is HIPAA, SOC2, and GDPR compliant, meeting strict security and regulatory requirements for regulated industries.
What kind of data labeling tasks does Datasaur's Data Studio support?
Datasaur's Data Studio supports a wide range of NLP labeling tasks, including named entity recognition, text classification, and coreference resolution. It also features ML-assisted labeling and allows for multi-pass labeling with inter-annotator agreement calculation.
Can Datasaur be integrated with existing data pipelines and cloud environments?
Yes, Datasaur offers API support for integrating directly with data pipelines, whether they reside on AWS, Azure, or other data storages. It can also be installed directly into your cloud environment, providing flexible deployment options.
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