BioAge Labs vs Schrödinger

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

Schrödinger leads in AI visibility (74 vs 35)
BioAge Labs logo

BioAge Labs

EmergingLife Sciences & BioTech

Metabolic Disease / Aging Biology

Clinical-stage biotech targeting metabolic aging for obesity and muscle-wasting disorders. IPO Sep 2024 (Nasdaq: BIOA); $198M raised; lead program azelaprag discontinued; pivoting to NLRP3 inhibitors.

AI VisibilityBeta
Overall Score
D35
Category Rank
#127 of 198
AI Consensus
86%
Trend
stable
Per Platform
ChatGPT
39
Perplexity
38
Gemini
33

About

BioAge Labs is a clinical-stage biopharmaceutical company that harnesses the biology of human aging to discover novel targets and therapies for metabolic diseases. The company went public on the Nasdaq Global Select Market in September 2024 under the ticker BIOA, raising $198M. Its lead program, azelaprag — an oral APJ agonist — was discontinued in January 2025 after the Phase 2 STRIDES obesity trial observed liver transaminitis in a subset of patients. BioAge has since pivoted its APJ program to next-generation oral and parenteral agonists targeting 2026 IND submissions, while advancing BGE-102, a brain-penetrant NLRP3 inhibitor development candidate with potential best-in-class CNS and metabolic applications. The company continues to leverage its proprietary human aging database to identify and validate novel drug targets.

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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

35
Overall Score
74
#127
Category Rank
#1
86
AI Consensus
84
stable
Trend
stable
39
ChatGPT
74
38
Perplexity
80
33
Gemini
75
37
Claude
74
37
Grok
78

Key Details

Category
Metabolic Disease / Aging Biology
Computational Drug Discovery
Tier
Emerging
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Schrödinger
Computational Drug Discovery

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