What is Labnote?

Labnote is an AI‑driven research management platform that consolidates research data, documentation, and collaboration tools for academic and industrial investigators. The tool offers an AI research assistant that processes datasets to maximize data utility and streamline analysis workflows.

It automates non‑clinical research documentation, generating regulatory reports and maintaining compliance records for CROs and contract research organizations. Custom product recommendations help small research institutes select appropriate protocols and equipment based on project needs.

Built‑in collaboration features enable real‑time sharing of experimental data and insights across research teams. The platform supports both independent researchers and institutional groups, improving data integrity and workflow efficiency. Labnote’s integrated AI and automation reduce manual effort, allowing scientists to focus on experimental design and interpretation.

Labnote pricing Freemium

Starter $49/mo
Growth $99/mo
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Labnote's key features

  • AI-driven report draft generation
  • Automated data retrieval review
  • Document auto-generation from data
  • Research collaboration data management
  • AI-powered paper search recommendation
  • Structured data standardization template

Labnote use cases

  • Compile a comprehensive experimental dataset across multiple labs in real-time, automatically standardizing formats and generating a single, searchable repository that supports cross-validation and accelerates grant proposal preparation.
  • Generate fully compliant FDA 21 CFR Part 11 audit trails and regulatory submission documents directly from raw laboratory data, saving hours of manual paperwork and ensuring traceability for CRO contracts.
  • Collaborate on a multi‑center study protocol by having Labnote’s AI assistant suggest optimized SOPs based on existing literature and internal data, then automatically update shared documentation and notify all team members of changes.

Who is it for?

  • Protocol managers
  • Inventory managers
  • Data analysts
  • Laboratory technicians
  • Research scientists

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