10x Science GTM brain
10x Science develops AI software for protein therapeutic characterization for biopharma and research teams.
category
AI protein characterizationmarket profile
- text: Biologic drug developers face manual analytical bottlenecks as discovery produces more candidates.
- text: Established mass spectrometry informatics vendors offer biotherapeutic characterization workflows, making validation and interoperability important to adoption.
personas
- title: Head of analytical development at a biopharma companypains:
- Manual interpretation and report generation slow candidate progression.
- Scientific reproducibility and analytical confidence must be maintained while throughput increases.
- title: Mass spectrometry or proteomics core directorpains:
- Expert analysts spend substantial time processing large spectral datasets.
- Scaling sample volume can require hiring scarce specialists.
- title: Biotech R&D leaderpains:
- Promising biologics cannot progress until molecular characterization is complete.
- Limited research capacity makes it difficult to triage an expanding candidate pipeline.
icp
- text: Pharmaceutical and biotech organizations developing protein therapeutics, including antibodies and engineered proteins.
- text: Academic proteomics core facilities and CROs processing protein characterization data are additional prospective accounts.
- text: Enterprise pharma is an explicitly stated target; employee count and contract thresholds are not public.
message pillars
- text: Modernize the characterization step that constrains drug development.
- text: Reduce the time spent analyzing data and producing reports.
- text: Scale analytical throughput without matching increases in headcount.
objections
- objection: Can AI results be trusted for consequential development decisions?response: Compare results against established methods on blinded samples and assess explainability and reproducibility before expansion.
- objection: Will the platform fit our instruments and analytical workflows?response: Confirm supported input formats, instruments and validation requirements in a scoped pilot; these details are not public here.
- objection: What is the return on a new characterization platform?response: Benchmark analysis time and scientist review effort on a representative candidate set against the current process.
competitors
- name: Genedatawebsite: https://www.genedata.com/platform/expressionistwhy: Expressionist supports enterprise mass spectrometry analysis and biotherapeutic characterization.
- name: Protein Metricswebsite: https://www.proteinmetrics.com/products/byoswhy: Byos analyzes mass spectrometry data for biotherapeutic protein characterization.
influencers
- name: Andrew Reiterurl: https://www.linkedin.com/posts/andrew-h-reiter_im-thrilled-to-announce-that-10x-science-activity-7416871669878796288-Rpyswhy: Co-founder writes publicly about modernizing protein characterization.
keywords
- protein characterization software
- biotherapeutic mass spectrometry analysis
- protein therapeutic characterization
- automated proteomics analysis
- biologics analytical development
- mass spectrometry data analysis
voice
- Scientific and technically ambitious
- Founder-led and mission-oriented
signals
- text: A pharma or biotech team is expanding biologics candidates and hiring analytical development scientists.
- text: A CRO or core lab is increasing mass spectrometry throughput and experiencing analysis backlogs.
hiring
- Founding Engineer
pricing
model: unknown
motion
sales_ledchannels
- founder LinkedIn
- YC launch
- press
- direct customer conversations
confidence
mediumFounders
- name: David Robertstitle: Founder/CEOrole: CEObio: Chemistry postdoc and Damon Runyon Cancer Research Fellow in Prof. Carolyn Bertozzi's lab (2022 Nobel Prize in Chemistry) at Stanford University. Next-generation scientific leader in chemical biology and glycobiology with 1800+ citations & h-index 23. Received my B.S. double major in chemistry & mathematics at UC San Diego (2016) and Ph.D. in materials chemistry & analytical chemistry at the University of Wisconsin-Madison (2023).
- name: Andrew Reitertitle: Founder/COOrole: COObio: Previously received my B.S. in Biology from UNC-Chapel Hill. I then joined Dr. Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where I developed new methods in mass spectrometry. I later became a Ph.D. student and NSF-GRFP fellow in the Department of Biology at Stanford University, where I was co-advised by Dr. Carolyn Bertozzi (2022 Nobel Laureate in Chemistry) and Dr. Or Gozani.
- name: Vishnu Tejustitle: Founder/CTOrole: CTObio: I am a 2x YC Founder. Previously, I built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Then, I forward deployed myself in research labs at the University of Washington, UCSF, and Stanford, where I was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, I published 2 papers and won 4 national awards. Now, I'm building ultrafast AI models for drug discovery teams to characterize proteins and pharmaceutical candidates.