Unlocking biomanufacturing breakthroughs

JFAB (JBEI Framework for AI-driven Biomanufacturing) is a uniquely integrated, end-to-end platform for predictive biology.

By unifying advanced AI/ML tools with an automated experimental infrastructure and data integration system, researchers can move rapidly from hypothesis to validated biological function.

Datasets generated by this system are continuously fed back into models, creating a self-improving system where biomanufacturing becomes increasingly predictive — reducing timelines, lowering costs, and enabling a scalable bioeconomy.

Our Approach

• Design: Advanced tools guide experimental directions and design novel biosynthetic pathways. Insights from technoeconomic analyses ensure research remains grounded in industrial reality.
• Build: Automated workflows rapidly process strains and generate complex genetic designs, creating rich datasets for training models. 
• Test: High-throughput platforms measure the performance of biological systems, ensuring models are trained on verified, high-quality outcomes. 
• Learn: Software and web-based tools identify optimal designs and turn data into actionable predictions, informing the next round of designs.

JFAB is enabled by the Joint BioEnergy Institute, a U.S. Department of Energy (DOE) Bioenergy Research Center.