An innovative platform that integrates AI, digital twin modeling, and microbial biomanufacturing to transform waste-derived feedstocks into high-value ingredients, enhancing sustainable production processes.
The AI-guided digital twin platform is a groundbreaking solution designed to enhance the efficiency and sustainability of biomanufacturing processes. It leverages AI and machine learning to create digital twins, which are virtual replicas of physical systems, for microbial and algae-based bioprocesses. This platform aims to accelerate the production of high-value consumer-packaged goods ingredients from low-cost, waste-derived feedstocks. By integrating bioreactor data streams and predictive analytics, it reduces the need for extensive trial-and-error experimentation, optimizing process development and feedstock evaluation for applications including fragrances, bioactives, and biosurfactants.
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The platform is currently at a Technology Readiness Level 4. It is in the early stages of development, with fundamental concepts and principles being validated through initial testing. The next steps involve further integration of experimental data with digital twin models and scaling up the process for commercial applications.
Colorado State University is a comprehensive public land‑grant research university with an applied, partnership‑driven culture. Multiple research campuses—including the Fort Collins main campus, a public‑facing Denver site, and a foothills research complex with shared core facilities and pilot‑scale testbeds—enable companies to co‑locate, access instrumentation, and run validation studies. A statewide Extension network and proximity to the Front Range innovation corridor provide streamlined engagement with regional and national industry, while an integrated veterinary teaching hospital supports translational studies. Research is supported by competitive federal funding from agencies such as NSF, NIH, USDA, DOE, and DoD. A dedicated technology transfer office streamlines IP, contracting, and startup formation, with incubator and collaboration space for industry partners.