New Wave Biotech and CPI Partner to Revolutionize Lipid Extraction with AI

New Wave Biotech team with CPO team
New Wave Biotech team with CPO team
Image Courtesy of the companies

New Wave Biotech and the UK's Center for Process Innovation (CPI) have formed a partnership to address ongoing challenges in lipid extraction, vital for the cosmetics, personal care, health care and food sectors. Using a hybrid AI-powered simulation platform, the collaboration aims to optimize both solvent and non-solvent extraction methods and improve efficiency and sustainability in downstream processing.

Virtual Simulations for Sustainable Speed-to-Market

According New Wave Biotech, lipids are essential in products ranging from foods to pharmaceuticals but extraction remains costly and energy-intensive. The company's platform enables CPI to run thousands of virtual simulations to quickly analyze performance, cost and environmental factors, reducing trial-and-error and speeding up the development of sustainable products.

The project will also explore other intracellular bioprocesses and scalability improvements.

"We’re excited to work with CPI to optimize lipid bioprocesses, which are essential for scaling many of the next-generation of sustainable products," said Nix Hall, CTO of New Wave Biotech. 

"Solving this challenge is key to making alternatives affordable and accessible. By combining predictive accuracy with techno-economic and sustainability insights, our platform helps innovators cut down on trial and error and move faster toward solutions..."

High Accuracy from Minimal Data

Stephen Wright, manager of downstream processing at CPI, added, "Partnering with New Wave Biotech gives us powerful new tools to help clients scale sustainable products. Unlike many AI/ML tools that need huge datasets, this platform achieves high accuracy from minimal data, allowing us to identify the best downstream routes much earlier and with greater confidence."

Supported by an Innovate UK grant, the initiative builds on New Wave Biotech’s previous successes in predictive accuracy and promises to accelerate scalable, efficient bioprocessing, per the company.

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