BioMap OS

BioMap OS is a world-leading dry-wet closed-loop life science discovery system developed by BioMap, powered by xTrimo foundation models. It is designed for life science R&D teams seeking to explore vast unknown biological spaces that lie beyond the reach of traditional AI approaches. By leveraging large-scale, multimodal biological data, BioMap OS enables multi-project research and development through continuous iterative cycles, addressing the challenges posed by the explosion of biological data in modern drug and biomolecule discovery.

The platform integrates nearly 100 modular components into a unified, end-to-end R&D environment, deployable across both cloud and on-premises infrastructures. Its architecture is built around five core units that work together to form a seamless feedback loop connecting data, models, and applications.

Core Units of BioMap OS

• Knowledge Assistant: An intelligent agent that understands and executes research tasks by integrating literature, multi-omics data, and knowledge graphs, translating scientific insights directly into actionable research steps.
• Prediction & Design: Combines state-of-the-art models with multi-parameter optimization to enable global search across sequence design and property prediction, improving experimental success rates and reducing overall experimental cost.
• Intelligent Experimentation: Automates workflows from design through to execution, connecting AI models with laboratory systems to improve efficiency, reproducibility, and adaptability across experimental processes.
• Data: Automatically collects, processes, and standardizes experimental data into AI-ready assets, powering continuous analysis and ongoing model improvement.
• Model Training: Continuously trains and refines models on accumulated experimental data, creating a closed feedback loop that spans data, models, and applications to drive iterative discovery.

Key Platform Capabilities

• Powered by xTrimo foundation models, enabling advanced biological understanding across diverse research contexts.
• Supports multimodal data integration, combining literature, multi-omics datasets, and knowledge graphs within a single platform.
• Modular architecture with nearly 100 components allows flexible configuration to suit a wide range of R&D workflows and project types.
• Dry-wet closed-loop design bridges computational prediction and physical laboratory experimentation, enabling continuous iterative improvement.
• Facilitates multi-project R&D management, supporting parallel research initiatives within a unified system.

BioMap OS is available for deployment across cloud and on-premises environments, making it adaptable to the infrastructure requirements of diverse life science organizations. For further information, BioMap can be contacted directly at [email protected].