Mantis

Visibility24

Vibe81

AI Visibility & Sentiment

Mantis

Mantis is a data platform for life sciences organizations that transforms complex biological, clinical, and operational data into reusable, canonical datasets. The platform integrates with existing systems like EDC, CTMS, and lab vendors to enable cross-study analytics, AI readiness, and real-time performance insights.

Active Monitoring

mantisbiotech.com

Healthcare Technology YC25-26

AI Visibility Score

24/100

Low

Sentiment Score

81/100

AI Perception

Summary

Mantis is currently a phantom leader in the clinical data space, securing elite top-three rankings in Claude and Gemini for infrastructure queries while suffering a total blackout in Google AI Overviews and ChatGPT. This stark divide reveals that while LLMs recognize Mantis’s technical superiority in handling data fragmentation, the brand is failing to register in the broader search-generative ecosystem where legacy giants like Medidata and Veeva still dominate the narrative.

Value Proposition

Mantis solves the data fragmentation problem in life sciences by creating domain-aware, reusable datasets that encode biological and clinical meaning directly into the data, enabling teams to run cross-study analytics without rebuilding pipelines.

Overview

Mission

Making customers' lives easier with the most intuitive analytics tool for life sciences data.

Products & Services

Canonical biomedical and clinical datasetsCross-system data integration platformReal-time clinical trial performance analyticsAI-ready data preparationCustom integrations for legacy and vendor platforms

Agent Breakdown

AI Platforms

How often do different AI platforms reference Mantis?

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Conversation Analysis

Topics

What conversations is Mantis included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Mantis 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

Modernizing Clinical Data Infrastructure(2 queries)

“how to integrate clinical data from different systems like EDC and CTMS into one place”

0/4 platforms mentioned

ChatGPT

1.Mulesoft

2.Dell Boomi

3.Talend

4.Snowflake

5.BigQuery

+34 more

Claude

1.Medidata Rave

2.Oracle InForm

3.Medidata CTMS

4.Veeva Vault

5.Informatica

+11 more

Gemini

1.Veeva Vault Clinical

2.Vault EDC

3.Vault CTMS

4.Medidata Rave (DDS)

5.Medidata Clinical Cloud

+13 more

AI Overviews

1.Viedoc

2.Medidata Clinical Cloud

3.Veeva Vault

4.Clinion

5.SimpleTrials

+1 more

“best ways to handle data fragmentation in clinical trials, specific platforms to look at”

2/3 platforms mentioned

Claude

1.Medidata Rave

2.Oracle InForm

3.Snowflake

4.Iceberg Tables

5.Databricks

8.Mantis

+3 more

Gemini

1.Databricks

2.Delta Lake

3.Unity Catalog

4.Delta Sharing

5.MLflow

11.Mantis

+6 more

AI Overviews

1.Medidata Solutions

AI Ready Data Strategy(1 query)

“how do I make our clinical trial data AI-ready”

0/4 platforms mentioned

ChatGPT

1.Alation

2.Collibra

3.Google Data Catalog

4.Pinnacle 21

5.AWS

+47 more

Claude

1.Apache Spark

2.Pandas

3.Python

4.Great Expectations

5.DBT

+5 more

Gemini

1.Pinnacle 21

2.Privitar

3.AWS HealthLake

4.Google Cloud Healthcare API

5.Medidata Rave

+8 more

AI Overviews

1.Edenlab

2.Elucidata

3.Tekinvaderz

4.Intelligencia AI

5.Axtria

+3 more

Real Time Trial Performance Monitoring(1 query)

“how to get real-time performance analytics for my clinical trials”

0/4 platforms mentioned

ChatGPT

1.Medidata Rave

2.Oracle InForm

3.Medrio

4.Castor

5.REDCap

+55 more

Claude

1.Medidata Rave EDC

2.Oracle Clinical

3.Veeva Vault CDMS

4.Parexel Electronic Data Capture

5.Tableau

+3 more

Gemini

1.Veeva Vault Clinical Suite

2.Veeva

3.Medidata Rave

4.Dassault Systèmes

5.Medidata Insights

+17 more

AI Overviews

1.Integra IT

2.Clinion

3.Castor

4.Medrio

5.Mosio

+6 more

Life Sciences Platform Evaluation(1 query)

“modern alternatives to big clinical data vendors like Veeva or Medidata”

0/4 platforms mentioned

ChatGPT

1.Veeva

2.Medidata

3.Castor

4.Medrio

5.OpenClinica

+22 more

Claude

1.Veeva

2.Medidata

3.Castor EDC

4.Openclinica

5.Medidata Rave

+10 more

Gemini

1.Veeva

2.Medidata

3.Medidata Rave

4.Veeva Vault CDMS

5.Castor

+20 more

AI Overviews

1.Veeva

2.Medidata

3.Curebase

4.Viedoc

5.Castor

+11 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Exceptional performance in Claude and Gemini for 'Modernizing Clinical Data Infrastructure' queries, reaching as high as position #2.

Strength

Strong resonance with Strategic Clinical Operations Leaders, achieving a 58% mention rate and high positive sentiment.

Strength

High technical authority in Claude specifically regarding 'data fragmentation in clinical trials,' where it consistently outperforms broader competitors.

Gap

Total lack of visibility (0%) in Google AI Overviews across all tested queries, a critical failure in the search-generative experience.

Gap

Complete absence from the 'Modern alternatives to Veeva/Medidata' conversation, allowing legacy vendors to maintain their market capture.

Gap

Negligible presence in ChatGPT, where its average position of 22.0 effectively makes the brand undiscoverable for mainstream AI users.

Opportunity

Own the 'AI-Ready Data Strategy' category where visibility is currently low, positioning Mantis as the essential foundation for AI-driven trials.

Opportunity

Leverage current mixed sentiment among Biotech Startup Founders by producing targeted 'founder-first' content that addresses the cost and scale barriers of legacy systems.

Opportunity

Capitalize on Claude’s high preference for Mantis by seeding more technical documentation to convert 'mixed' sentiment into 'positive' authority.

Technical Health

Site Health for AI Visibility

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

94/100

20 passed 2 warnings

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical100

SSL, mobile, doctype basics

On-Page SEO98

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

Meta description may be truncated (206 characters)

Shorten to under 160 characters.

Few internal links on this page

Add more internal links to related pages on your site.

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Brand Identity

Brand Voice & Style

How AI perceives Mantis's communication style and personality

Mantis communicates with technical precision and domain expertise, speaking directly to the pain points of life sciences data professionals. The tone is confident and authoritative without being condescending, using industry-specific terminology that resonates with their technical audience. The brand balances sophisticated technical concepts with clear, outcome-focused messaging that emphasizes practical value over abstract features.

Core Tone Traits

Technically Authoritative

Uses precise life sciences and data terminology that demonstrates deep domain expertise

Problem-Solution Oriented

Leads with pain points and follows with clear, practical solutions

Confidently Understated

Makes bold claims backed by specifics without hyperbole or marketing fluff

Customer-Centric

Focuses on customer outcomes like shortened timelines and reduced complexity

Competitive Landscape

Related Ecosystem

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

Snowflake20 mentions

Medidata Rave20 mentions

Medidata20 mentions

Veeva19 mentions

Databricks14 mentions

Mantis14 mentions

Veeva Vault13 mentions

Tableau12 mentions

dbt11 mentions

Saama Technologies10 mentions

Viedoc9 mentions

Source Intelligence

Citations

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

How to Integrate CTMS with EDC - Flex Databases

https://flexdatabases.com/blog/how-to-integrate-ctms-with-edc/

Referenced in 1 query

Review

Modernizing Clinical Trials: The Role of eTMF, CTMS, and EDC ...

https://credevo.com/articles/2025/08/25/modernizing-clinical-trials-the-role-of-etmf-ctms-and-edc-integration/

Referenced in 1 query

Review

CTMS & EDC Integration — SimpleTrials - Clinical Trial ...

https://www.simpletrials.com/ctms-edc-integration

Referenced in 1 query

Review

CTMS and EDC Integration in DCTs: Key Benefits and Tips

https://cdconnect.net/ctms-edc-integration/

Referenced in 1 query

Review

What Electronic data capture systems are most commonly ...

https://www.reddit.com/r/clinicalresearch/comments/pg1hnu/what_electronic_data_capture_systems_are_most/

Referenced in 2 queries

Join Discussion

CTMS vs. EDC: understanding the differences and benefits for ...

https://www.viedoc.com/blog/ctms-vs.-edc

Referenced in 1 query

Review

Building Integrations with Disparate Systems in the Clinical Trial ...

https://www.linkedin.com/pulse/building-integrations-disparate-systems-clinical-trial-bob-file-g8uee

Referenced in 1 query

Pitch Story

Electronic Clinical Trial Management Systems: The Basics ...

https://www.socra.org/blog/electronic-clinical-trial-management-systems-the-basics-needs-and-outputs/

Referenced in 1 query

Review

Best Life Science E-Clinical Systems Reviews 2026 - Gartner

https://www.gartner.com/reviews/market/life-science-e-clinical-systems

Referenced in 2 queries

Review

Clinical Data Management: Data Integration vs. Data ...

https://www.precisionformedicine.com/blog/clinical-data-management-data-integration-vs-data-reconciliation/

Referenced in 1 query

Review

Integrating Clinical Data: Overcoming Challenges and Maximizing ...

https://blog.cloudbyz.com/resources/integrating-clinical-data-overcoming-challenges-and-maximizing-efficiency

Referenced in 1 query

Review

5 Tips for a Successful Integration of CTMS with EDC - AQ Trials

https://aq-trials.com/integration-of-ctms-with-edc/

Referenced in 1 query

Review

Content Engineering

Recommended Actions

Execute an 'AI-Ready' Content Blitz

Mantis was only mentioned once for 'AI-ready data strategy' (Gemini #3). Dominating this specific query across all platforms is the fastest path to being seen as a future-proof alternative to Veeva.

Impact: High

Address the AIOverviews Blackout

Zero visibility in Google’s SGE suggests a lack of structured, schema-rich technical content that Google's crawlers can synthesize. Immediate optimization of the 'how-to' clinical integration pages is required.

Impact: High

Direct Competitive Positioning Content

Since Mantis is currently excluded from 'modern alternative' queries, the brand must publish explicit comparison and migration guides (e.g., 'Transitioning from Veeva Vault to Modern Infrastructure') to trigger these associations in LLM training sets.

Impact: Medium

Founder-Centric Social Proofing

With only a 38% mention rate and mixed sentiment among Biotech Founders, Mantis needs more case studies highlighting speed-to-market and cost-efficiency to win this specific buyer persona.

Impact: Low

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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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AI Visibility Score

Mantis has an AI visibility score of 21/100, rated as low. This score reflects how often and how prominently Mantis appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Strengths

Exceptional performance in Claude and Gemini for 'Modernizing Clinical Data Infrastructure' queries, reaching as high as position #2.
Strong resonance with Strategic Clinical Operations Leaders, achieving a 58% mention rate and high positive sentiment.
High technical authority in Claude specifically regarding 'data fragmentation in clinical trials,' where it consistently outperforms broader competitors.

Visibility Gaps

Total lack of visibility (0%) in Google AI Overviews across all tested queries, a critical failure in the search-generative experience.
Complete absence from the 'Modern alternatives to Veeva/Medidata' conversation, allowing legacy vendors to maintain their market capture.
Negligible presence in ChatGPT, where its average position of 22.0 effectively makes the brand undiscoverable for mainstream AI users.

Competitors in AI Recommendations

Snowflake: 20 mentions
Medidata Rave: 20 mentions
Medidata: 20 mentions
Veeva: 19 mentions
Databricks: 14 mentions
Veeva Vault: 13 mentions
Tableau: 12 mentions
dbt: 11 mentions
Saama Technologies: 10 mentions
Viedoc: 9 mentions
Veeva Vault CDMS: 9 mentions
Medrio: 9 mentions
OpenClinica: 9 mentions
Fivetran: 8 mentions
Informatica: 8 mentions

Categories: Healthcare Technology

Tags: YC25-26