How Is
10xScience
Using AI?
Turns weeks of manual protein analysis into minutes for drug development teams.
Company Overview
Builds AI-native infrastructure for protein characterization, specifically peptide mapping for protein therapeutics. Automates the data analysis pipeline that currently takes weeks and costs significant manual effort, reducing it to minutes. Targets biopharma development teams drowning in mass spectrometry data.
Product Roadmap & Public Announcements
10x Science has launched its AI-native peptide mapping platform with a functional UI (mass spectrometry analysis views, fragment matching, proteoform browsers). Currently in early access/beta behind a 'Get Access' signup. Emphasizes 10x speed, full pipeline automation, and reproducible enterprise-ready results. Targets $150,000+ time savings per team per month.
Signals & Private Analysis
Lean team with no public job postings suggests focused product-build phase. The team's combined proteomics, mass spectrometry, and AI expertise suggests expansion into adjacent characterization modalities. YC batch timing points to fundraising in mid-2026.
10xScience
Machine Learning Use Cases
Key Technical Team Members
- Vishnu, CTO & Co-Founder
- David, CEO & Co-Founder
- Andrew, COO & Co-Founder
Competitive Advantage
The team uniquely combines deep proteomics and analytical chemistry domain expertise from a Stanford Nobel Laureate's lab (47+ publications, 18+ years collective experience) with production-grade AI engineering (CTO is a 2x YC founder who was founding engineer at Nooks). They claim to be the only team in the world with combined depth in proteomics, mass spectrometry, chemical biology, and AI.
10xScience
Funding History
- 2025: Founded and accepted into Y Combinator
- 2025: ~$500K standard YC investment
- 2026: Pre-Series A, early access/beta phase
- 2026: Likely fundraising post-Demo Day
10xScience
Competitors
- Legacy Instrument Software: Thermo BioPharmaFinder, Waters UNIFI, Bruker
- Specialized Protein Analytics: Protein Metrics (Byos/PMI), PEAKS (BSI)
- Open-Source: MaxQuant, MSFragger/FragPipe, OpenMS
- Emerging: Various stealth AI proteomics startups
