Encodia

Encodia

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Encodia is developing an innovative Next-Gen digital proteomics platform to enable democratized protein sequencing. . Learn more

Launch date
Employees
Market cap
-
Net debt
-
Enterprise valuation
$300—450m (Dealroom.co estimates Jan 2021.)
San Diego California (HQ)
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Encodia is a biotechnology startup that operates in the healthcare industry, specifically in the field of protein sequencing. The company's proprietary technology, ProteoCode™, is a reverse-translation technology that enables large-scale protein sequencing. This technology is designed to accelerate innovations in human health by providing in-depth information on cellular processes, which can be used to develop personalized medicine.

Encodia's business model revolves around the application of its technology in population-level studies and its integration with multiomic approaches. Multiomics is a method that combines data from different biological domains (like genomics, proteomics, etc.) to give a more comprehensive understanding of biological systems. In simpler terms, it's like putting together different pieces of a puzzle to get a complete picture. Encodia's technology is compatible with this approach, allowing for a more detailed and comprehensive analysis.

The company's technology also allows for Next-Generation Sequencing (NGS) based protein analysis via amino acid barcoded libraries. This means that they can analyze proteins at a scale and throughput similar to genomics technology, which is a significant advancement in the field.

Encodia's primary clients are likely to be research institutions, pharmaceutical companies, and healthcare providers interested in leveraging their technology for drug discovery, disease diagnosis, and personalized medicine.

The company generates revenue by providing access to its technology and services to these clients. Given the leadership team's track record in developing and launching biotechnologies, Encodia is well-positioned to make significant contributions to the healthcare industry.

Keywords: Biotechnology, Protein Sequencing, Healthcare, Personalized Medicine, Population-Level Studies, Multiomics, Next-Generation Sequencing, Amino Acid Barcoded Libraries, Genomics Technology, Drug Discovery.

Tech stack

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