HeartFlow vs Schrödinger

Side-by-side comparison of AI visibility scores, market position, and capabilities

Schrödinger leads in AI visibility (74 vs 53)
HeartFlow logo

HeartFlow

ChallengerLife Sciences & BioTech

AI-Powered Cardiac Diagnostics

HeartFlow creates AI-powered, non-invasive 3D models of coronary arteries from CT scans to guide treatment of coronary artery disease, with FDA clearance and coverage from major insurers including Cigna.

AI VisibilityBeta
Overall Score
C53
Category Rank
#54 of 198
AI Consensus
79%
Trend
stable
Per Platform
ChatGPT
50
Perplexity
50
Gemini
54

About

HeartFlow, Inc. is a Redwood City, California–based medical technology company founded in 2011 that applies artificial intelligence to cardiac imaging to transform the diagnosis and management of coronary artery disease (CAD). Its flagship HeartFlow FFRCT Analysis generates a personalized, color-coded 3D model of a patient's coronary arteries from a standard CT scan, calculating fractional flow reserve values non-invasively to identify which blockages actually restrict blood flow. The technology is backed by more than 600 peer-reviewed publications and has helped clinicians manage over 400,000 patients worldwide.

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Schrödinger logo

Schrödinger

LeaderLife Sciences & BioTech

Computational Drug Discovery

Physics-based molecular simulation platform used by 1,700+ organizations. Q3 2025 software revenue up 54% YoY; $150M Novartis collaboration signed in early 2025.

AI VisibilityBeta
Overall Score
B74
Category Rank
#1 of 198
AI Consensus
84%
Trend
stable
Per Platform
ChatGPT
74
Perplexity
80
Gemini
75

About

Schrödinger was founded in 1990 by Richard Friesner and David Pearlman in New York City, building physics-based computational methods for molecular simulation. For over 30 years the company has developed the industry-leading molecular modeling suite used by academic researchers, biotech startups, and large pharmaceutical companies to predict molecular properties, optimize lead compounds, and design drugs with greater precision than traditional empirical approaches.\n\nSchrödinger's platform—spanning FEP+ (free energy perturbation), Glide docking, WaterMap, and machine learning-enhanced property prediction—is used by over 1,700 organizations across pharma, biotech, and materials science. In early 2025, the company signed a landmark $150 million upfront collaboration with Novartis for multi-target drug discovery with potential milestones exceeding $2.3 billion. Software revenue grew 54% year-over-year in Q3 2025 as pharmaceutical companies accelerated adoption of computational-first drug discovery. Schrödinger also operates a proprietary drug pipeline, with SGR-1505 (MALT1 inhibitor) in Phase 1 for B-cell malignancies.\n\nSchrödinger occupies a unique hybrid position—part software platform, part drug discovery company—and is a benchmark of the AI/physics-based drug discovery movement. The company is publicly traded (SDGR) and is recognized as an essential tool for the modern small-molecule drug discovery workflow.

Full profile

AI Visibility Head-to-Head

53
Overall Score
74
#54
Category Rank
#1
79
AI Consensus
84
stable
Trend
stable
50
ChatGPT
74
50
Perplexity
80
54
Gemini
75
57
Claude
74
57
Grok
78

Key Details

Category
AI-Powered Cardiac Diagnostics
Computational Drug Discovery
Tier
Challenger
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Schrödinger
Computational Drug Discovery

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