10x Genomics vs Schrödinger
Side-by-side comparison of AI visibility scores, market position, and capabilities
Leading single-cell genomics platform; $642M FY2025 revenue. Chromium and Visium spatial platforms power cell-type discovery in oncology, neuroscience, and immunology.
About
10x Genomics was founded in 2012 in Pleasanton, California by Serge Saxonov, Ben Hindson, and Kevin Ness. The company developed the Chromium platform for single-cell RNA sequencing (scRNA-seq), enabling researchers to analyze gene expression across thousands of individual cells simultaneously—a capability that transformed cell biology, immunology, and cancer research. The Visium Spatial Gene Expression platform extended this to map gene expression within intact tissue architecture.\n\n10x Genomics' instruments and consumables are used by leading academic research centers, pharmaceutical companies, and translational medicine teams to profile the cellular composition of tumors, map the nervous system, characterize immune responses, and develop cell therapies. The company reported full-year 2025 revenue of $642.8 million, up from $610.8 million in 2024, and guides to $600–$625 million for 2026 amid cautious biotech funding conditions.\n\nThe company is transitioning toward a broader multi-omics portfolio including ATAC-seq, protein detection, and spatial multi-omics, while defending market position against competition from Parse Biosciences, Vizgen, and others. Despite near-term funding headwinds in academic markets, 10x Genomics remains a foundational infrastructure provider for the cell atlas era of biology.
Physics-based molecular simulation platform used by 1,700+ organizations. Q3 2025 software revenue up 54% YoY; $150M Novartis collaboration signed in early 2025.
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.
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