Pendium
Strand AI
Strand AI
Visibility13
Vibe72
Businesses/Biotechnology & Life Sciences/Strand AI
Strand AI
AI Visibility & Sentiment

Strand AI

Strand AI is a biotechnology company that uses multimodal AI to predict missing biological data from existing patient information. They help pharmaceutical companies and researchers rescue incomplete clinical trial cohorts, skip expensive assays, and discover biomarkers that were never measured.

Active Monitoring
strandai.com
AI Visibility Score
13/100

Invisible

Sentiment Score
72/100
AI Perception

Summary

Strand AI is currently a ghost within the OpenAI ecosystem and Google's AI Overviews, leaving a massive power vacuum that competitors like Owkin and Recursion are aggressively filling. While the brand maintains a surgical strike capability within Claude for high-intent bioinformatics queries, it is virtually non-existent to Clinical Trial Directors and Academic PIs who are shaping the next wave of biotech investment.

Value Proposition

Predict missing biological modalities from existing patient data, enabling researchers to rescue incomplete cohorts, skip expensive assays, and discover hidden biomarkers without re-acquisition.

Overview

Strand AI is a biotechnology company that uses multimodal AI to predict missing biological data from existing patient information. They help pharmaceutical companies and researchers rescue incomplete clinical trial cohorts, skip expensive assays, and discover biomarkers that were never measured.

Mission

Filling in the gaps in multimodal patient data so researchers can find what they're looking for and improve clinical trial outcomes.

Products & Services
Cross-modal biological prediction platformVariantFormer gene expression imputationProteomics and transcriptomics prediction from H&E slidesBiomarker discovery and imputationClinical trial cohort rescue tools
Agent Breakdown

AI Platforms

How often do different AI platforms reference Strand AI?

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Conversation Analysis

Topics

What conversations is Strand AI included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Strand AI 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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Clinical Trial Cohort Rescue(2 queries)

how to rescue a clinical trial cohort that has missing biological data

0/4 platforms mentioned

ChatGPTChatGPT
1.REDCap
2.naniar
3.VIM
4.UpSetR
5.LabCorp

+20 more

ClaudeClaude
1.REDCap
2.SAS
3.SPSS
4.R
5.STROBE-MD

+2 more

GeminiGemini
1.SAS
2.R Project
3.Stata
4.Precision for Medicine
5.Quanterix

+10 more

AI OverviewsAI Overviews
1.Veranex

help me find tools for clinical trial data imputation, what specific platforms should i look into

2/3 platforms mentioned

ClaudeClaude
1.Strand AI
2.Olink
3.10x
4.Python
5.Certara's Actuate

+6 more

GeminiGemini
1.10x Genomics
2.Olink
3.scVI-tools
4.Gretel.ai
5.DataWig
9.Strand AI

+3 more

AI OverviewsAI Overviews
1.SAS
2.Pharmaverse
3.mice
4.rbmi
5.mmrm

+7 more

Cross Modal Biological Prediction(1 query)

can I predict proteomics from H&E slides using AI, which platforms do this well

0/4 platforms mentioned

ChatGPTChatGPT
1.HE2RNA
2.Tangram
3.stLearn
4.Akoya CODEX/PhenoCycler
5.NanoString GeoMx DSP

+26 more

ClaudeClaude
1.HoVer-Net
2.TransMIL
3.CLAM
4.Flagship Pioneering
5.10x Genomics' Space Ranger

+3 more

GeminiGemini
1.Owkin
2.HE2RNA
3.Nucleai
4.PathAI
5.AISight

+11 more

AI OverviewsAI Overviews
1.HEX
2.GigaTIME
3.ROSIE
4.Lunit SCOPE
5.DeepHRD

+1 more

AI Biotech Trust & Category Evaluation(1 query)

most reliable AI biotech companies for multimodal data

0/4 platforms mentioned

ChatGPTChatGPT
1.Tempus
2.Owkin
3.Recursion Pharmaceuticals
4.Insitro
5.Paige

+11 more

ClaudeClaude
1.Recursion Pharmaceuticals
2.Benchling
3.DeepMind
4.Alphabet
5.AlphaFold

+8 more

GeminiGemini
1.Recursion Pharmaceuticals
2.NVIDIA
3.Roche
4.Genentech
5.BioHive-1

+15 more

AI OverviewsAI Overviews
1.Tempus AI
2.Recursion Pharmaceuticals
3.Roche
4.Nvidia
5.Schrödinger

+11 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Strong niche resonance with the Bioinformatics Strategy Lead persona, achieving a 56% mention rate.

Strength

High-authority placement in Claude for technical solutions, specifically ranking #1 for clinical trial data imputation and #3 for cohort rescue.

Strength

Positive sentiment across most successful mentions, indicating that when the brand is surfaced, the AI perceives it as a credible solution.

Gap

Complete invisibility in ChatGPT and AI Overviews, which represent the primary discovery engines for executive decision-makers.

Gap

Total failure to capture the 'Cross-Modal Biological Prediction' and 'Multimodal Data' categories, where Owkin and Tempus are currently dominating.

Gap

Zero visibility for Clinical Trial Optimization Directors, a critical buyer persona that appears to be entirely underserved by Strand's current digital footprint.

Opportunity

Capture the 'AI Biotech Trust' category by optimizing for multimodal data queries where no single competitor has established absolute dominance.

Opportunity

Leverage the brand's technical success in Claude to reverse-engineer content strategies for Gemini and ChatGPT.

Opportunity

Target the 'proteomics from H&E slides' query space, as this high-value technical gap is currently wide open for an authoritative brand to claim.

Technical Health

Site Health for AI Visibility

How well Strand AI's website is optimized for AI agent discovery and comprehension.

92/100
19 passed 3 warnings
Audited 2/27/2026
Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO93

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

3 render-blocking resource(s) detected

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

!

Title is too short (26 characters)

Expand the title to 50-60 characters with descriptive keywords.

!

Content may be too short

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

Want a full technical audit with AI-specific recommendations?

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Brand Identity

Brand Voice & Style

How AI perceives Strand AI's communication style and personality

Strand AI communicates with scientific precision and technical authority while remaining accessible to their specialized audience. Their voice is confident and solution-oriented, directly addressing the pain points of clinical researchers without unnecessary jargon. They balance technical credibility with clarity, using concrete examples and data points to demonstrate value. The tone is professional and forward-thinking, positioning themselves as innovators solving real problems in drug development.

Core Tone Traits

Scientifically Authoritative

Uses precise technical language and references specific biological modalities, demonstrating deep domain expertise

Solution-Oriented

Focuses on solving concrete problems like incomplete cohorts and expensive assays rather than abstract capabilities

Data-Driven

Leads with statistics and evidence, such as the 90% clinical trial failure rate, to establish credibility

Accessible Technical

Explains complex concepts clearly without dumbing down, respecting the audience's intelligence

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Strand AI

1Owkin16 mentions
2SAS10 mentions
3Tempus9 mentions
4Olink9 mentions
5PathAI8 mentions
6Recursion Pharmaceuticals8 mentions
7Tempus AI8 mentions
8Insitro7 mentions
9NVIDIA6 mentions
10missForest5 mentions
11Strand AI5 mentions
Source Intelligence

Citations

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

Missing Data in Clinical Studies: Issues and Methods - PMC

https://pmc.ncbi.nlm.nih.gov/articles/PMC3948388/

Referenced in 1 query

Review
Missing Data in Clinical Research: A Tutorial on Multiple ...

https://pmc.ncbi.nlm.nih.gov/articles/PMC8499698/

Referenced in 2 queries

Review
Strategies for Successful Clinical Data Management Rescue ...

https://veranex.com/blog/strategies-for-successful-clinical-data-management-rescue-studies

Referenced in 1 query

Pitch Story
Considerations to address missing data when deriving clinical ...

https://www.sciencedirect.com/science/article/pii/S1551714421003979

Referenced in 1 query

Review
Comparison of different approaches in handling missing data ... - PMC

https://pmc.ncbi.nlm.nih.gov/articles/PMC11972534/

Referenced in 2 queries

Review
Trial Strategies to Reduce the Frequency of Missing Data - NCBI

https://www.ncbi.nlm.nih.gov/books/NBK209896/

Referenced in 1 query

Review
The prevention and handling of the missing data - PMC

https://pmc.ncbi.nlm.nih.gov/articles/PMC3668100/

Referenced in 1 query

Review
Strategies for Handling Missing Data in Electronic Health Record ...

https://pmc.ncbi.nlm.nih.gov/articles/PMC4371484/

Referenced in 1 query

Review
Clinical Trial Rescue: How to Recover a Failing Study

https://cromospharma.com/clinical-trial-rescue-how-to-spot-trouble-and-act-fast-2/

Referenced in 1 query

Review
Minimizing Missing Data in Clinical Trials | Circulation

https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.125.074160

Referenced in 1 query

Review
Methods to Handle Incomplete Data - MAMC Journal of Medical Sciences

https://journals.lww.com/mamc/fulltext/2020/06030/methods_to_handle_incomplete_data.8.aspx

Referenced in 1 query

Review
Research White Paper Managing Missing Data in Patient ...

https://effectivehealthcare.ahrq.gov/sites/default/files/wysiwyg/missing-data-registries-guide-3rd-ed-addendum-white-paper.pdf

Referenced in 1 query

Review
Content Engineering

Recommended Actions

!

Execute an OpenAI-specific technical SEO audit to break the 0% mention rate in ChatGPT.

ChatGPT is the most used LLM for business intelligence; being invisible here is a critical failure that allows competitors to own the market narrative.

Impact: High
!

Develop and publish deep-dive technical whitepapers on 'Cross-Modal Biological Prediction' and 'Proteomics Prediction'.

The brand is currently missing 100% of these high-intent technical queries, which are essential for establishing category leadership in multimodal AI.

Impact: High
~

Create persona-specific case studies tailored to Clinical Trial Optimization Directors focusing on 'Cohort Rescue'.

Despite having a product that solves this problem, the brand has 0% visibility with this persona, while competitors like SAS and Tempus are being recommended.

Impact: Medium
~

Aggressively optimize structured data for Google AI Overviews to mirror the success seen in Claude.

The 0% mention rate in AI Overviews means Strand AI is being excluded from the modern search experience, forfeiting high-value traffic to Olink and PathAI.

Impact: Medium

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

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