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Locations

Lyngby, Denmark

industry

Biotechnology · DeepTech · Design · Health

Size

1 - 10 employees

Stage

Other

founded in

2015

cphnano is a Danish Labtech company that develops digital laboratory analysis and next-generation UV-Vis for the lab 4.0. We work with upgrading UV-Vis spectrophotometry across all brands to be at the forefront at the technology development. We expand the functionality of existing spectrophotometers by developing plastic labware with nanotechnology and analyzing data in the cloud - leading to faster and more accurate results in the laboratory while lowering upfront investments. cphnano's VISION is to expand the use and increase the value of existing spectrophotometers around the world and the MISSION is to enable as many devices as possible to do state-of-the-art laboratory analysis and diagnostics testing. Thereby, the laboratory entry-barrier cost is lowered orders of magnitude, enabling healthy and safe living for everyone. The NanoCuvettes unlocks the full potential of the spectrophotometer and SpectroWorks optimizes and automizes your UV-Vis instrument workflow. By enabling label-free measurements of the refractive index you can improve both range and quality of your analysis. cphnano’s digitalization can also help semi-automate routine QC analysis, minimizing the effort needed to acquire and transfer data. Finally, validation of the instrument can be re-used for NanoCuvette measurements. Cphnano are always up to speed with technological innovation which is essential e.g., for university research labs that need access to state-of-the-art equipment and technology to continuously push the scientific frontier. Furthermore, it doesn’t require a large up-front investment cost, making cphnano an obvious choice for projects or experiments that for a limited time require the use of more sophisticated methods than what the laboratory currently has available. Finally, cphnano’s approach to spectrophotometry is developed to be a part of the digitalization of lab analysis and makes it easy to integrate hardware and software for e.g., AI-driven sensors.

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