| Name | Title | Contact Details |
|---|
GenapSys is a company focused on the advancement of universal access to genomic information by delivering an affordable, scalable, and accurate genomic sequencing ecosystem that empowers both academic and clinical research applications. Its system leverages a proprietary electrical microfluidic sequencing chip with a scalable number of detectors, allowing for a wide range of applications. GenapSys is headquartered in Redwood City, CA. GenapSys products are provided for Research Use Only. Not for use in diagnostic procedures.
Carterra, formerly Wasatch Microfluidics, develops high throughput surface plasmon resonance array-based platforms for biomolecular interaction analysis.
Triad Technologies, Llc is a Englewood, OH-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Opentrons Labworks, Inc., is a disruptive life science company leveraging its integrated lab platform to supercharge the pace of innovation in research and healthcare. Opentrons Labworks is the parent company to business units Opentrons Robotics and Neochromosome. Through Opentrons Robotics, thousands of institutions are automating R&D operations with flexible, easy-to-use liquid handling lab robots. Through Neochromosome, biopharma and biotech at large can benefit from our world-class genome-scale cell engineering solutions. Opentrons Robotics, a business unit of Opentrons Labworks, Inc., is the industry leader in flexible, user-friendly automation for life science labs. Our open-source ecosystem offers the scientific community the tools they need to automate experiments, share protocols and reproduce each other`s results. Opentrons robots can be found in thousands of academic, biopharma, synthetic biology and clinical research labs in more than 40 countries.
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.