Labnote

Labnote Scholar offers seven core features: data structuring, analysis, prediction, automation, literature review, inventory management, and collaboration. A standout feature is Auto-Reporting, which automatically generates research report drafts from experimental data, including lab notebooks and weekly reports, with automatic chart insertion and approval workflow integration. This reduces report writing time by 40%. The platform also provides AI-based experiment design to minimize trial and error, and enables real-time collaboration.

Labnote Scholar is used in various research environments. In pharmaceutical labs, it helps manage hundreds of experimental data points and meet regulatory requirements, achieving FDA 21 CFR Part 11 compliance with its electronic lab notebook (ELN) and audit trail features. University labs use it to centralize dispersed research data, while biotech startups leverage it to standardize research processes for rapid growth. The platform also reduces duplicate experiments by enabling instant search of past data, and shortens project timelines.

The page does not provide specific pricing details. It offers a 'Scholar' product and encourages users to request a customized demo or contact the sales team for more information.