Building the laboratory of the future

Labforward is creating the operating system of the lab by connecting data, devices, and researchers
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labforward GmbH has merged with LabTwin

Learn more about it in our press release

 

The smart way to connect your lab devices

Laboperator is a smart and agile laboratory execution system (LES) that connects laboratory equipment to a central platform, enabling scientists to automate and monitor existing laboratory devices. With this system, researchers can manage their laboratory remotely, whilst collecting and analyzing instrument data in real-time, significantly improving productivity and precision of research.

 

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The intelligent way to record your findings

Labfolder is an intuitive and powerful electronic lab notebook (ELN) that can streamline life in the lab by simplifying data documentation. Scientists can record and store their research on a central platform accessible from anywhere and benefit from extensive features that facilitate collaboration, compliance and the standardization of common procedures in the lab.

 

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The efficient way to manage your samples

Labregister is an effective and comprehensive laboratory inventory management system that facilitates oversight of a lab’s entire inventory. Researchers can list materials with their properties to ensure a central organization. The system allows scientists to follow each inventory item through its specific lifecycle and enables a direct connection to laboratory notes.

 

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Labtwin

 

The hands-free way to capture your insights

LabTwin is the leading AI and voice-powered digital lab assistant, designed to revolutionise how scientists capture and manage their research data. Scientists can effortlessly collect data, access information, and streamline documentation simply by talking. Using advanced voice recognition and AI/ML technologies, LabTwin’s smart assistant enables real-time data capture, automatically structures the data and integrates seamlessly with your lab informatics systems (ELN, LIMS, LES, …), enhancing data quality and accelerating the experiment cycle.

 

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