Alumis vs Schrödinger

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

Schrödinger leads in AI visibility (74 vs 34)
Alumis logo

Alumis

EmergingLife Sciences & BioTech

Clinical-Stage Precision Immunology Therapeutics

Alumis is a clinical-stage biopharmaceutical company developing oral TYK2 inhibitors for immune-mediated diseases including psoriasis, lupus, and inflammatory bowel disease; raised over $400M in private funding;

AI VisibilityBeta
Overall Score
D34
Category Rank
#188 of 198
AI Consensus
74%
Trend
stable
Per Platform
ChatGPT
29
Perplexity
40
Gemini
33

About

Alumis is a South San Francisco-based clinical-stage biopharmaceutical company founded in 2021 by Martin Babler and Joseph Arol, with a focus on developing precision oral therapies for patients with serious immune-mediated diseases. The company's lead program, ESK-001, is a highly selective TYK2 (tyrosine kinase 2) inhibitor targeting conditions including moderate-to-severe plaque psoriasis, systemic lupus erythematosus (SLE), and inflammatory bowel disease. TYK2 inhibition is a validated immunology mechanism — Bristol Myers Squibb's Sotyktu (deucravacitinib) was the first approved TYK2 inhibitor — and Alumis is developing what it believes is a next-generation molecule with improved selectivity.

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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

34
Overall Score
74
#188
Category Rank
#1
74
AI Consensus
84
stable
Trend
stable
29
ChatGPT
74
40
Perplexity
80
33
Gemini
75
37
Claude
74
37
Grok
78

Key Details

Category
Clinical-Stage Precision Immunology Therapeutics
Computational Drug Discovery
Tier
Emerging
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Schrödinger
Computational Drug Discovery

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