Digital Science, a technology software company that makes the research process simpler and more efficient, has invested in TetraScience, a Boston, MA based scientific start-up and an Internet of Things company, that aims to modernise research by bringing cloud software to the laboratory. Founded by scientists and engineers from Harvard & MIT, TetraScience has developed a solution for connecting and managing research equipment and instruments via the web.
TetraScience was the recipient of a prestigious Digital Science Catalyst Grant in 2015 – awarded to support the innovation of new software tools and technologies for scientific research and intended to provide initial support to take ideas from concept to prototype. TetraScience is the first Catalyst Grant winner to receive a follow-on investment from Digital Science.
TetraScience, started by Harvard and MIT researchers Alok Tayi, Siping Wang and Salvatore Savo, was founded with the mission to modernise research by bringing cloud software to the laboratory. The company already works with some of the most respected research and academic institutions and scientific instrument manufacturers, and will use the funds to accelerate development and market penetration.
Digital Science supports a suite of renowned researcher tools across a wide portfolio of companies across the globe, including ReadCube, Figshare and LabGuru. The addition of TetraScience will expand the research management portion of the Digital Science portfolio, enabling the delivery of ever more comprehensive solutions for researchers.
Modern scientific research is rife with manual processes and inefficiencies. Experimental deviations, instrument failures and underutilised equipment are just a few of the challenges that contribute to 45% of R&D dollars wasted each year.
TetraScience's solution is purpose-built for science and used across industries including pharma, biotech, food & beverage, oil & gas, chemistry, plastics and others.
The solution connects scientific instruments and equipment to the web, allowing research teams to remotely monitor and manage experiments in real time, and log data automatically — accelerating productivity, saving time and money.
Key use cases and users for TetraScience include scientific workflows, lab monitoring, and utilisation.
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