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AI Agents for pharma and biotech R&D leaders

Kosmos is an autonomous AI scientist that automates data-driven discovery across domains like neuroscience, metabolomics, materials science, and genetics. Given an open-ended research objective and one or more datasets, Kosmos runs long research campaigns of up to ~12 hours, iterating between data analysis, literature search, and hypothesis generation. It uses a structured world model to coordinate agents and maintain coherence over hundreds of rollouts, typically executing tens of thousands of lines of code and reading around 1,500 papers per run before synthesizing a fully cited scientific report whose statements are traceable to code cells or primary literature. Independent scientists have estimated that a 20-cycle Kosmos run can compress roughly six months of PhD-level work into a single day, with most statements judged accurate and reproducible. Researchers can access Kosmos via the Edison Scientific platform with a credit-based pricing model, while an open-source implementation on GitHub allows teams to self-host and extend the system using multiple model providers.

Kosmos

kosmos

Autonomous AI scientist for long research campaigns that analyzes data and literature to produce fully cited scientific reports.