The AI-Powered Design Platform
serves as the “brain” of the biofoundry, enhancing the Design and Learn stages of the DBTL workflow while coordinating the entire DBTL process.
- Trained on large-scale biological data, AI models predict and design optimal gene combinations, protein structures, metabolic pathways, and cellular functions. The platform also enables a closed-loop research environment in which experiments are designed and executed, and the resulting data are fed back into AI models for continuous learning and optimization.
Key Capabilities
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Intelligent Design
AI-driven prediction and optimization of genes, proteins, metabolic pathways, and cellular functions
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Data Learning
Continuous model improvement through large-scale biological data
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Process Integration & Coordination
Intelligent coordination of DBTL processes, resources, and schedules
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Automation Integration
Integration with robotic systems for efficient experiment automation
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Closed-Loop Optimization
Continuous improvement of design performance through learning from experimental results