A closed-loop system capturing biological intelligence from natural biodiversity, analyzing it through artificial intelligence, and refining it into programmable products.
Explore and study diverse biological species through global farms and research sites to acquire genomic, metabolic, and phenotypic biological data from natural adaptations.
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Train AI on the acquired biological data to generate hypotheses, design experiments, and run simulations — accelerating the entire Design-Build-Test-Learn cycle.
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Conduct synthetic biology research based on AI-driven insights to develop new and useful biotechnologies for therapeutics, agriculture, and industrial applications.
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