The International Water Consortium
The International Water Consortium is a hybrid mix of the best international minds
working together to provide resilience and sustainability to water-stressed hotspots of
the world. The Team is hand-picked with complimentary skillsets, providing innovative
solutions to unique water security enigmas. The Consortium will play a critical role in
supporting developing countries to overcome hardships and uncertainties caused by
water shortages.
The Consortium will work closely with local professionals in water stressed countries
and utilize the best technologies, processes, and procedures to bring about sustainable
change – through water.
MAWI DNA
Mawi DNA focuses on creating easy-to-use solutions that simplify the collection,
transportation, and preservation of biological samples, while maintaining high accuracy
in sample analysis.
Their flagship products, such as the SWAB collection devices, enable the collection and
stabilization of DNA and RNA samples without the need for cold-chain logistics, offering
a nontoxic and reliable method for sample preservation at room temperature. This
technology has applications in human health, forensic analysis, and agricultural
research.
MAWITESSIA
MAWITESSIA’s mission is to drive transformative change across Africa by harnessing
the power of cutting-edge biotechnology. We are dedicated to unearthing and
implementing innovative solutions that improve human health, elevate agricultural
productivity, and contribute to a sustainable future for our continent.
MAWITESSIA is more than a biotech company. We are a beacon of hope, a catalyst for
change, and a testament to the boundless potential of African ingenuity.
Prime Discoveries
Prime Discoveries™ state-of-the-art technology platform integrates automation,
machine learning, and advances in computational biology to accelerate discoveries.
Our partner’s automated CLIA certified lab enables us to process high sample volumes
with prompt turn-around times. We partner with organizations that can propel our
state-of-the-art machine learning analysis into a multitude of practical implications.
