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.
Company research
Public company, workplace, funding, and market signals
Overview
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
2261 Market St, STE 65211, San Francisco, CA 94114, United States
San Francisco, CA, United States
Menlo Park, CA, United States
Business model
SaaS
subscription software
enterprise software
Funding
Stage
Seed
Total raised
$4.9M
Latest round
Seed · Apr 2026
Latest amount
$4.8M
People & investors
Leadership
Founder and CEO
Co-Founder and COO
Founder and CTO
Work & culture
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.
Product & market
Pricing
Subscription SaaS / monthly paid platform
Differentiators
- —AI-native protein characterization instead of manual analysis
- —Processes mass-spec data into explainable results in minutes
- —Deep memory architecture that improves with more datasets
- —Vendor-neutral workflow
- —Native UniProt integration and custom library support
- —Supports top-down, middle-down, and targeted workflows
- —Traceable outputs designed for regulatory use
Technology
PyTorch
mass spectrometry
UniProt integration
raw/.mzML file processing
local asynchronous processing
cloud database streaming
deterministic algorithms
AI agents
Customers
pharmaceutical companies
biotech companies
academic researchers
academic institutions
contract research organizations (CROs)
Rilas Technologies
Competitors
Portal Biotech
NanoMosaic
Inanovate
Protein Metrics
MaxQuant
Biognosys
InterVenn
Quantum-Si
Scale & contact
Estimated revenue
Estimated by StartupHub.ai at about $566K annually (rough range $155K-$1.8M; 37% confidence)
Estimated monthly visits
3.1K
Latest news
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.
Jobs and careers at 10x Science
0 jobs at 10x Science
No open positions
Check back later for new openings