Absci vs Schrödinger
Side-by-side comparison of AI visibility scores, market position, and capabilities
Absci is an AI drug creation company that combines generative AI with a synthetic biology platform to design novel therapeutic proteins from the ground up.
About
Absci is a publicly traded AI drug creation company founded in 2011 that went public in 2021 and has repositioned around generative AI for drug design. The company operates an integrated platform that uses generative AI to design novel antibodies and proteins, then validates them using high-throughput expression and biological assay systems in its own wet lab infrastructure. Absci's approach treats drug discovery as a generative design problem, using AI to propose protein sequences with desired therapeutic properties and then rapidly testing millions of candidates to identify viable drug leads. The company has established drug creation partnerships with major pharmaceutical companies including AstraZeneca, Merck, and EQT Life Sciences. Absci's technical differentiation lies in its ability to close the loop between AI-generated protein designs and experimental validation at unprecedented scale. The company represents a new category of AI-native biopharmaceutical company that combines computational and wet-lab capabilities to create drugs not discoverable through traditional means.
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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