10x Science

Visibility0

Vibe83

Businesses/Biotechnology Software/10x Science

AI Visibility & Sentiment

10x Science

10x Science develops AI-native software for next-generation protein characterization, enabling scientists to molecularly analyze proteins at scale in real time. The platform was developed by researchers from Stanford, MIT, UC Berkeley, UCSF, and UW Madison, and is backed by Y Combinator.

Active Monitoring

10xscience.com

Biotechnology Software YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

83/100

AI Perception

Summary

10x Science currently operates in a total discovery vacuum, remaining completely invisible during high-intent searches for proteomics and peptide mapping while competitors like Protein Metrics and MaxQuant dominate the conversational landscape. Although the brand is recognized in direct 'vibe checks' by Claude and AI Overviews, it is entirely absent from the critical decision-making workflows of facility managers and infrastructure architects.

Value Proposition

The first AI/ML-native omics software that delivers 10x faster processing, intelligently resolves complex PTMs, and provides vendor-neutral integration for protein characterization workflows.

Overview

Mission

Democratize how scientists analyze complex protein data in real time using frontier AI software.

Products & Services

AI-native protein characterization platformTop-down proteomics analysisPeptide mapping for protein therapeuticsProteoform resolution and PTM analysisDe novo protein sequencing

Agent Breakdown

AI Platforms

How often do different AI platforms reference 10x Science?

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Conversation Analysis

Topics

What conversations is 10x Science included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend 10x Science to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Advanced Proteomics Research & Workflow Optimization(2 queries)

“how can i get better proteoform resolution from my top-down mass spec data”

0/4 platforms mentioned

ChatGPT

1.Thermo

2.Zeba

3.Pierce

4.P6 spin columns

5.RapiGest

+31 more

Claude

1.Orbitrap Fusion Lumos

2.Q-Exactive HF-X

3.ProSight

4.MASH Suite

5.UniDec

+1 more

Gemini

1.GELFREE 8100

2.Expedeon

3.Abcam

4.Thermo Fisher MAbPac

5.Waters BioResolve

+13 more

AI Overviews

1.Azo

2.PubMed Central

3.FLASHIda

4.Biocompare

5.TopFD

+5 more

“recommend some software for de novo protein sequencing that actually works with complex PTMs”

0/4 platforms mentioned

ChatGPT

1.PEAKS Studio

2.Bioinformatics Solutions Inc.

3.Thermo

4.Bruker

5.Waters

+27 more

Claude

1.PEAKS Studio

2.Bioinformatics Solutions Inc.

3.MaxQuant

4.FragPipe

5.University of Michigan

+9 more

Gemini

1.Orbitrap

2.timsTOF

3.Waters

4.PEAKS Studio

5.PEAKS Online

+23 more

AI Overviews

1.PEAKS Studio

2.PEAKS AB

3.PEAKS PTM

4.Unimod

5.SPIDER

+8 more

Biopharmaceutical Characterization & Therapeutics Development(1 query)

“best tools for peptide mapping in protein therapeutics, looking for something faster than biopharma finder”

0/4 platforms mentioned

ChatGPT

1.Thermo Biopharma Finder

2.MSFragger

3.DIA-NN

4.Protein Metrics Byos

5.Waters UNIFI

+28 more

Claude

1.BioPharma Finder

2.Thermo Scientific Orbitrap Exploris

3.Fusion Lumos

4.Waters Xevo G3S

5.G2-XS QTof

+4 more

Gemini

1.Thermo Scientific

2.Biopharma Finder

3.PEAKS Online

4.Bioinformatics Solutions Inc.

5.PEAKS

+14 more

AI Overviews

1.BioPharma Finder

2.Thermo

3.Genedata Expressionist

4.SCIEX Biologics Explorer

5.Genedata

+18 more

Next Gen Omics Software Evaluation(1 query)

“find me a vendor-neutral software for proteomics that supports data from both thermo and bruker”

0/4 platforms mentioned

ChatGPT

1.Thermo

2.Bruker

3.ProteoWizard msConvert

4.ProteoWizard

5.FragPipe

+12 more

Claude

1.Thermo

2.Bruker

3.MaxQuant

4.Max Planck Institute

5.Orbitrap

+9 more

Gemini

1.Thermo Fisher

2.Bruker

3.timsTOF

4.MaxQuant

5.Andromeda

+13 more

AI Overviews

1.Thermo Fisher

2.Orbitrap

3.Bruker

4.timsTOF

5.MaxQuant

+16 more

Protein Software Trust & Category Leadership(1 query)

“most trusted protein characterization software for high-throughput labs”

0/4 platforms mentioned

ChatGPT

1.Protein Metrics Byos

2.Byonic

3.Protein Metrics

4.Thermo Fisher BioPharma Finder

5.Thermo

+26 more

Claude

1.MaxQuant

2.Mascot

3.Peaks Studio

4.UCSF Chimera

5.ChimeraX

+6 more

Gemini

1.MaxQuant

2.Spectronaut

3.Biognosys

4.Proteome Discoverer

5.Thermo Scientific

+18 more

AI Overviews

1.Proteome Discoverer

2.Thermo Scientific

3.CHIMERYS

4.Spectronaut

5.Biognosys

+16 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Retains basic brand identity and factual awareness within Claude and AI Overviews during direct brand-specific queries

Strength

Exists within the training data of major LLMs, allowing for accurate identification when prompted specifically about the company

Gap

Total absence in 'Next-Gen Omics' and 'vendor-neutral' software queries where competitors like Waters and Bruker are frequently recommended

Gap

Zero visibility among the Bioinformatics Infrastructure Architect and Pharmaceutical Protein Characterization Lead personas

Gap

Failure to appear in any top-down proteomics or proteoform resolution workflow recommendations despite these being core industry challenges

Opportunity

Establish a 'vendor-neutral' authority play to disrupt the dominance of hardware-aligned software like Thermo and Waters

Opportunity

Capture the 'de novo protein sequencing' search intent where current AI recommendations are highly concentrated among a few legacy players

Opportunity

Leverage the existing recognition in AI Overviews to bridge the gap into category-specific queries through structured technical content

Technical Health

Site Health for AI Visibility

How well 10x Science's website is optimized for AI agent discovery and comprehension.

89/100

18 passed 1 warnings 2 issues

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO84

Titles, descriptions, headings

Content Quality60

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability100

How well AI can parse your content

Critical Issues

Page has no H1 heading

Add a single H1 tag as the main page heading.

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

2 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

Few headings on page

Add more H2 and H3 headings to organize content into sections.

Few internal links on this page

Add more internal links to related pages on your site.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

Brand Identity

Brand Voice & Style

How AI perceives 10x Science's communication style and personality

10x Science communicates with scientific precision and technical authority while remaining accessible to researchers across experience levels. The brand voice balances cutting-edge innovation with practical utility, emphasizing speed, accuracy, and democratization of complex analysis. The tone is confident but not arrogant, using clear language to explain sophisticated AI capabilities without oversimplifying the science.

Core Tone Traits

Scientifically Authoritative

Speaks with deep domain expertise in proteomics and mass spectrometry

Innovation-Forward

Emphasizes AI/ML capabilities and next-generation approaches

Accessible & Clear

Makes complex technical concepts understandable without dumbing down

Researcher-Centric

Focuses on solving real pain points scientists face daily

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of 10x Science

Protein Metrics19 mentions

MaxQuant19 mentions

Thermo18 mentions

Waters18 mentions

Bruker18 mentions

Orbitrap18 mentions

FragPipe16 mentions

MSFragger15 mentions

PEAKS Studio14 mentions

Byonic13 mentions

10x Science0 mentions

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Progress in Top-Down Proteomics and the Analysis of Proteoforms

https://pmc.ncbi.nlm.nih.gov/articles/PMC5373801/

Referenced in 1 query

Review

Software - Consortium for Top-Down Proteomics

https://ctdp.org/resources/software/

Referenced in 1 query

Review

TopFD: A Proteoform Feature Detection Tool for Top–Down ...

https://pubs.acs.org/doi/10.1021/acs.analchem.2c05244

Referenced in 1 query

Review

Spectral averaging with outlier rejection algorithms to increase ...

https://pmc.ncbi.nlm.nih.gov/articles/PMC11216233/

Referenced in 1 query

Review

TopPIC: a software tool for top-down mass spectrometry ...

https://academic.oup.com/bioinformatics/article/32/22/3495/2525589

Referenced in 1 query

Review

Novel Strategies to Address the Challenges in Top-Down ...

https://pmc.ncbi.nlm.nih.gov/articles/PMC8310706/

Referenced in 1 query

Review

mass graph-based approach for the identification of modified ...

https://academic.oup.com/bioinformatics/article/33/9/1309/2729765

Referenced in 1 query

Review

Get the Big Picture with Top-Down Proteomics | Biocompare

https://www.biocompare.com/Editorial-Articles/153611-Get-the-Big-Protein-Picture-with-Top-Down-Proteomics/

Referenced in 1 query

Review

FLASHIda enables intelligent data acquisition for top ... - Nature

https://www.nature.com/articles/s41467-022-31922-z

Referenced in 1 query

Review

Mesh fragmentation improves dissociation efficiency in top-down ...

https://pmc.ncbi.nlm.nih.gov/articles/PMC8783543/

Referenced in 1 query

Review

Top-down Mass Spectrometry (MS)-based proteomics - Ying Ge

https://labs.wisc.edu/gelab/Top-down.html

Referenced in 1 query

Review

Identification of proteoforms by top‐down proteomics using ...

https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/pmic.202200542

Referenced in 1 query

Review

Content Engineering

Recommended Actions

Optimize technical whitepapers for 'top-down proteoform resolution' and 'peptide mapping' keywords.

10x Science is currently invisible in these high-intent research queries while competitors are cited 15+ times.

Impact: High

Develop targeted content assets for the 'Bioinformatics Infrastructure Architect' persona.

This persona showed a 0% mention rate, representing a massive missed opportunity to influence technical gatekeepers.

Impact: High

Pursue inclusion in third-party 'Best Proteomics Software' comparison articles and benchmarks.

AI models heavily weight external citations; competitors like MaxQuant and FragPipe are winning because they are mentioned across various trusted bioinformatics platforms.

Impact: Medium

Publish a dedicated 'Vendor-Neutral Integration' guide for proteomics workflows.

There is significant AI search volume for vendor-neutrality that 10x Science is failing to capture, despite its potential as a differentiator.

Impact: Medium

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Backing

Investors

Y Combinator

Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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