Germany: Real-Time Data Capture Labtwin Offers New Data Connectivity and “Talk Back” Features
Editor: Alexander Stark
Labtwin launched its new open API solution that aims at connecting scientists with data sources both inside and outside of the lab. The tool is to enable scientists to instantly access external databases as well as data streams from other sources such as lab equipment and informatics systems.
Labtwin can now guide researchers step-by-step through interactive protocols, offer feedback, and provide on-demand access to scientific data.
(Source: Business Wire)
Berlin/Germany — Most lab tools cannot move content across devices, and therefore, pieces of information are fragmented across different tools and platforms. With its new API, Labtwin removes data silos, eliminates the data graveyard and empowers scientists with real-time data capture and on-demand access to important information, all in one central location.
According to the company, the solution is designing experiences for scientists that are consistent across devices and continuous when moving from one device to another. With the launch of their new API, the developers want to create a whole ecosystem for scientists, connecting the digital assistant’s voice interface with applications and databases, and make this data instantly accessible from anywhere in the lab.
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The digital assistant uses machine learning and voice-recognition technologies to assist scientists with day-to-day tasks, saving time and making research more efficient and reproducible. Researchers can take notes, capture data, create supply lists and set timers or reminders from anywhere in the lab simply by talking to Labtwin. The digital assistant can speak back to scientists, guide scientists through interactive protocols, and provide recommendations as well as on-demand access to scientific data.
The company built the digital assistant so labs can have streamlined, paper-free documentation, with researchers taking hands-free voice notes at the bench and then easily transferring these notes into existing protocols or other lab documentation. The result is better data capture and real-time data-driven decision-making without having to remove gloves or interrupt experiments.
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