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Calibre Scientific is a diversified global provider of life science reagents, tools, instruments, and other consumables to the lab research, diagnostics and biopharmaceutical communities.
Calysta, Inc., Menlo Park, CA, is a biotechnology company working towards a future where the world`s growing population has guaranteed food security. Calysta`s aim is to make more from less by fermenting natural gas to create new food products, creating sustainable, high value nutritional ingredients that don`t interfere with the human food chain.
Berkeley Lights is a leading digital cell biology company focused on enabling and accelerating the rapid development and commercialization of biotherapeutics and other cell-based products for our customers. The Berkeley Lights Platform captures deep phenotypic, functional and genotypic information for thousands of single cells in parallel and can also deliver the live biology customers desire in the form of the best cells. Our platform is a fully integrated, end-to-end solution, comprising proprietary consumables, including our OptoSelect™ chips and reagent kits, advanced automation systems, and application software. We developed the Berkeley Lights Platform to provide the most advanced environment for rapid functional characterization of single cells at scale, the goal of which is to establish an industry standard for our customers throughout their cell-based product value chain. Berkeley Lights` Beacon® and Lightning™ systems and Culture Station™ instrument are for research use only. Not for use in diagnostic procedures.
Beta Bionics is proud to be a Massachusetts public benefit corporation.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.