CTOs on the Move

Progenity

www.progenity.com

 
Progenity, Inc. is a biotechnology company innovating in the fields of women`s health, gastrointestinal health, and oral biotherapeutics. Progenity applies a multi-omics approach, combining genomics, epigenomics, proteomics, and metabolomics to its molecular testing products and to the development of a suite of investigational ingestible devices designed to provide precise diagnostic sampling and drug delivery solutions. Progenity`s vision is to transform healthcare to become more precise and personal by improving diagnoses of disease and improving patient outcomes through localized treatment with targeted therapies.
  • Number of Employees: 250-1000
  • Annual Revenue: $50-100 Million
  • www.progenity.com
  • 4330 La Jolla Village Drive
    San Diego, CA USA 92122
  • Phone: 855.293.2639

Executives

Name Title Contact Details
Paul Shabram
Senior Vice President of Technical Operations Profile
Launa Saunders
Director of IT, Sales and Marketing Platforms Profile
Troy Seelye
Senior Vice President and Chief Information Officer Profile

Funding

Progenity raised $125M on 11/07/2017
Progenity raised $40M on 06/10/2021

Similar Companies

Pyxis Oncology

Founded by Longwood Fund, Pyxis Oncology is building a differentiated portfolio of biologics, including antibody-drug conjugates (ADCs) and immunotherapies, to improve the lives of patients with difficult-to-treat cancers. Pyxis is employing site-specific conjugation technology to develop highly stable ADCs with enhanced therapeutic indexes. Pyxis is also advancing a diverse portfolio of immunotherapies that target broad immune regulators as well as novel immune checkpoints identified through its immuno-oncology and cold tumor discovery efforts.

MYM Nutraceuticals

MYM Nutraceuticals Inc. (CSC:MYM) (OTC:MYMMF) (FRA:OMY) is an emerging bio-pharmaceutical company and distributor of medical marijuana products that has applied to Health Canada for a medical marijuana production and distribution license under the Marihuana for Medical Purposes Regulations. MYM Nutraceuticals has an extensive list of industry assets that make it well prepared for commercial distribution of medical marijuana, including a growing facility property, exclusive access to patients and many years of industry expertise on the company`s board of directors and staff.

Senseonics

Senseonics, Inc. is a medical device startup company in Germantown, Maryland, USA (near Washington, DC) developing transformative glucose monitoring products that are intended to enable people with diabetes to confidently live their lives with ease. Utilizing breakthrough fluorescence sensing technology, the Senseonics continuous glucose monitoring ("CGM") system is being designed to be the first fully implantable CGM that is highly accurate and stable throughout its long sensor life.

Sigma-Tau Pharmaceuticals

Sigma-Tau Pharmaceuticals is a Gaithersburg, MD-based company in the Healthcare, Pharmaceuticals, and Biotech sector.

Insitro

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.