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Sm Suppliers Serving Botswana For Served Monitoring And Testing
7 companies found
Software vendorbased inPhiladelphia, PENNSYLVANIA (USA)
With extensive experience optimising processes for analytical, production and R&D laboratories across multiple industries and regulatory environments, we provide consistent, quality informatics solutions. We operate on a truly global basis, serving ...
Software vendorbased inSalamanca, SPAIN
After years working as the IT department for the biggest laboratory in our city, we decided to take the big step and created SLCLAB, a company dedicated to providing solutions to all those software requirements we came across during our time working ...
Software vendorbased inWashington,, DISTRICT OF COLUMBIA (USA)
At Resource Monitor, our values guide our actions. We're committed to protecting our planet's resources through 'commonsense conservation.' It's impossible to conserve what cannot be measured, so we're using state-of-the-art technology to shine a ...
Software vendorbased inTucson, ARIZONA (USA)
Clinisys is a global provider of intelligent diagnostic, laboratory informatics solutions designed to redefine the modern laboratory, across healthcare, life sciences, environmental, water/wastewater, and public health. Millions of diagnostic ...
Software vendorbased inStone, UNITED KINGDOM
We help our over 500 international clients efficiently access, capture, analyze, report and submit high quality regulatory data, while maintaining compliance for their products around the world. This is combined with our unique ability to generate ...
Software vendorbased inScandicci, ITALY
Founded in Florence (ITALY) in 1993, and today with Legal and Operational Headquarter in Scandicci (Florence), ELDES is a market leader for Radar Solutions in the Meteorology and Defence sectors. Through 30 years of experience in Radar Systems, also ...
Software vendorbased inBengaluru, INDIA
Satyukt Analytics Private Limited is a global agriculture technology company committed to revolutionizing farming by digitizing the agricultural landscape. Utilizing satellite-derived data supplemented by modern techniques such as Machine Learning ...