Initialized Capital blog · Apr 2026
Investor perspective on why the founders’ scientific credibility and domain depth make the company differentiated.
The AI-native platform for next-generation protein characterization.
Public company, workplace, funding, and market signals
10x Science is a San Francisco-based YC W26 startup building AI-native software that automates protein characterization from mass spectrometry data for drug development and broader proteomics workflows.
Primary product
AI-native protein characterization platform for proteomics and drug-development workflows
Founded
2025
Headquarters
San Francisco, CA, United States
Team size
1-10 employees
Industry
Technology, Information and Internet
Sub-industry
AI-native protein characterization software for life sciences
Offices
0 jobs at 10x Science
Check back later for new openings
Business model
Stage
Seed
Total raised
$4.9M
Latest round
Seed · Apr 2026
Latest amount
$4.8M
Leadership
Founder and CEO
Co-Founder and COO
Founder and CTO
Investors
Small, researcher-led, high-velocity team with Stanford/Broad/YC roots; public messaging emphasizes deep domain expertise, rapid execution, and enterprise-biopharma focus.
Compensation
A public Founding Engineer listing showed $150K-$240K salary plus 0.50%-2.00% equity; no broader public compensation policy was found.
Pricing
Subscription SaaS / monthly paid platform
Differentiators
Technology
Customers
Competitors
Estimated revenue
Estimated by StartupHub.ai at about $566K annually (rough range $155K-$1.8M; 37% confidence)
Estimated monthly visits
3.1K
Initialized Capital blog · Apr 2026
Investor perspective on why the founders’ scientific credibility and domain depth make the company differentiated.
TechCrunch · Apr 2026
Profiles 10x Science’s $4.8M seed round, product, founders, customers, and the mass-spectrometry bottleneck it targets.
PR Newswire · Apr 2026
Company press release on the seed round, founder backgrounds, product architecture, and target customer segments.
LinkedIn · Apr 2026
Founder post summarizing investors, platform architecture, and the company’s hiring push.
Y Combinator · Feb 2026
Launch post describing the product, target users, and the protein-characterization bottleneck the company aims to solve.