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Data Driven Decision Suppliers In Switzerland
5 companies found
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based inAachen, GERMANY
KISTERS specialises in the collection, processing and reporting of environmental data from around the world, creating innovative and data-driven solutions that harness the power of data and technology. Founded 60 years ago and headquartered in ...
based inBoston, MASSACHUSETTS (USA)
SOPHiA GENETICS is the creator of a global data-sharing network – we work with customers from over 790 institutions in over 70 countries. Our network advances data-driven medicine to improve health outcomes and economics worldwide. We offer a ...
Most rare and inherited diseases have a neurological component, likely because more than 80% of human genes are expressed in the brain.1 Neurological disorders are multifactorial and heterogeneous, meaning that their genetic basis is often poorly ...
based inNiwot, COLORADO (USA)
Particle Measuring Systems (PMS) sets the standard for cleanroom contamination monitoring. With more than 60 patents, we create the technology that enables you to make fact-based decisions, improve process yield and comply with changing regulatory ...
based inAllschwil, SWITZERLAND
Stäubli is a global industrial and mechatronic solution provider, offering a diverse range of electrical connectors, fluid connectors, quick mold change systems, robotics and textile to increase productivity across various industrial sectors. ...
Introducing theTX2-60L MedX Ready, a 6-axis precision robot, designed as medical and surgical assistant. Engineered for high accuracy, this medical robot excels in critical applications such as orthopedics, neurosurgery, cancer surgery, and ...
based inZug, SWITZERLAND
Luxoft empowers business leaders with enhanced analytics and software engineering capabilities that stabilize enterprises and help them thrive in shifting and complex markets. For businesses seeking to modernize, becoming software-defined is a ...
Data analytics solutions for under-resourced teams. Luxoft offers data analytics services that ensure data integrity. Data teams receive support for everything they need to perform data quality functions — cleansing, normalization, validation ...