Seer Inc.

• Seer Inc.
• Health-Care

SEER

We aim to enable exceptional scientific outcomes by commercializing transformative products for researchers to unlock deep, unbiased biological information. Our initial product, the Proteograph Product Suite (Proteograph), will leverage our proprietary engineered nanoparticle (NP) technology to provide unbiased, deep, rapid and large-scale access across the proteome. Our Proteograph Product Suite is an integrated solution that is comprised of consumables, an automation instrument and software.

Our Proteograph provides an easy-to-use workflow, which has the potential to make proteomic profiling, and the analysis of the thousands of samples needed to characterize the complex, dynamic nature of the proteome, accessible for nearly any laboratory. We believe that characterizing and understanding the full complexity of the proteome is foundational for accelerating biological insights and will lead to broad potential end-markets for proteomics, encompassing basic research and discovery, translational research, diagnostics and applied applications.

This full understanding of the complexity of the proteome requires large-scale, unbiased and deep interrogation of thousands of samples across time, which we believe is unavailable with the proteomic approaches available today. We believe that our Proteograph has the potential to enable researchers to perform proteomics studies at scale, similar to the manner in which next generation sequencing (NGS) technologies have transformed genomics.

Proteins are the functional units of all forms of life. While deoxyribonucleic acid (DNA) may be used as a static indicator of health risk, proteins are dynamic indicators of physiology and may be used to track health over time, gauge disease progression and monitor therapeutic response. Despite the central role proteins play in biology, the proteome is relatively unexplored compared to the genome, particularly the rich functional content that could be derived from large-scale proteomics studies. We believe large-scale characterization of the proteome has not been feasible with existing proteomics approaches, which broadly fall into two categories: (i) unbiased but not scalable, or (ii) scalable but biased. Current de novo, or unbiased, approaches require complex, lengthy, and labor- and capital-intensive workflows, which limit their scalability to small, under-powered studies, and require significant processing expertise.

On the other hand, targeted or biased methods only enable interrogation of a limited number of known proteins per sample. Although biased approaches are scalable, they lack the breadth and depth necessary to appropriately characterize the proteome and catalog its many protein variants. Thus, we believe that proteomics researchers are forced into an unattractive trade-off between the number of samples in a study and the depth and breadth of the analysis. These trade-offs limit researchers’ abilities to advance characterization of the proteome to match the current characterization of the genome. We believe large-scale proteomic analysis is needed for a more complete understanding of biology.

Much like NGS enabled large-scale access to the genome and transformed science and medicine, we believe that widespread access to unbiased and deep proteomics will lead to novel biological insights, deepen understanding of health and disease, and aid functional characterization of genomic variants. We believe these capabilities appeal to a broad range of researchers and can lead to the creation of substantial end-market opportunities that may extend well beyond human health.

We are initially focused on driving adoption of our Proteograph with customers in proteomics and genomics markets, who see the value of large-scale, unbiased, deep proteomics. Allied Market Research estimates the proteomics market was $32 billion in 2019. We believe that our Proteograph’s unique capabilities will enable researchers to undertake studies not possible today, particularly those of larger scale. We also believe that our Proteograph will complement genomics technologies by adding critical missing information that can provide functional context to genomic variation. According to the dbSNP database, approximately 695 million individual genetic variants have been identified to date; however, fewer than 0.2% of those variants have been cataloged in the ClinVar database with a reported relationship between variation and phenotype.

We believe unbiased, deep and large-scale proteomics can help researchers map biological function of genomic variants, identify the most impactful disease and response-specific risk factors, and accelerate discovery of molecular mechanisms of health and disease. We believe these capabilities will broadly appeal to researchers and entities undertaking large-scale genomics studies. Therefore, we believe we will attract spending from the genomics market, estimated by Technavio to be $21 billion in 2019. In addition to the markets and applications that apply to current proteomics and genomics researchers, we believe our Proteograph is likely to lead to entirely new applications and market opportunities, much like NGS has done in genomics over the last fifteen years. 

Offering Team

Pre-IPO Investors

Deal Highlights

less

More

Deal Tracker

Stock Price