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Bioprocessing Reinvented: How New Wave Biotech is Transforming Alternative Protein Production

New Wave Biotech precision fermentation
Courtesy: New Wave Biotech

In the rapidly evolving landscape of biomanufacturing, New Wave Biotech has introduced a groundbreaking technology designed to enhance production processes for alternative protein and biomanufacturing companies. Their Bioprocess Foresight platform leverages artificial intelligence to provide tailored insights into techno-economics, output, and sustainability, utilizing data specific to individual biomanufacturers.


This innovation is timely. Synthetic biology, which includes alternative protein development, is poised to replace a third of global manufacturing by 2030, according to a report by Boston Consulting Group (BCG). Yet, the pathway to scale remains fraught with challenges—90% of synthetic biology technologies fail to scale effectively. This is due in part to the complexity of optimization, with trillions of potential combinations, coupled with high experimental costs and lengthy timelines.


AI to the Rescue in Biomanufacturing


The Bioprocess Foresight platform seeks to address these issues by simulating bioprocesses and predicting outcomes, costs, and sustainability impacts. The platform allows companies to pinpoint areas for R&D improvement and virtually test process scenarios, enabling faster decision-making. It empowers innovators to harness historical experimental data, creating a feedback loop for continuous improvement in both R&D and commercialization efforts.


For Zoe Law, CEO and Co-Founder of New Wave Biotech, this is a game-changer. “For years, biomanufacturing innovators have faced significant R&D expenses with little clarity on why certain processes failed,” she explains. “Bioprocess Foresight allows companies to test virtually and make strategic decisions with a level of insight never before possible.”


Oli Hall, CTO and Co-Founder, emphasizes the enormity of the task faced by the industry. “Biomanufacturing businesses must navigate countless potential combinations of inputs, processes, and conditions. Our platform helps them predict technical, commercial, and environmental impacts with confidence.”


By addressing these long-standing barriers to scale, Bioprocess Foresight has the potential to transform the way companies approach alternative protein production, accelerating the journey from lab to market.


The Bigger Picture: AI and Foodtech Innovation


New Wave Biotech’s innovation is part of a broader trend that is revolutionizing the foodtech landscape. Companies like NotCo and Shiru are already harnessing AI to solve longstanding challenges in protein production. NotCo, for instance, has developed a proprietary AI platform, Giuseppe, which analyzes plant-based ingredients to create products that replicate the taste and texture of animal-derived foods. The company’s AI-driven approach has propelled it to global markets, producing plant-based milk, meat, and condiments.


Shiru, on the other hand, focuses on protein discovery. Its AI algorithms predict the functions of naturally occurring proteins, which are then synthesized and tested in the lab. The company’s goal is to create novel protein ingredients that can replace animal-derived or synthetic additives, paving the way for more sustainable food systems.


Other startups are making waves too. Protera combines AI with protein science to develop sustainable, protein-based food ingredients. MOA Foodtech uses AI and industrial biotech to produce functional ingredients from food byproducts, delivering both cost and environmental benefits. Amai Proteins employs AI-driven computational design to create proteins for sweeteners and other applications, using precision fermentation for production.


These technologies not only improve efficiency but also have the potential to redefine how we think about food production—shifting from an extractive model to a more sustainable, circular approach.


Investment and Industry Momentum


The integration of AI and biotechnology in food production is attracting significant investment. Venture capital firms such as Big Idea Ventures are pouring resources into startups developing alternative proteins, recognizing their potential to transform food systems. MOA Foodtech recently secured funding to scale its AI-driven production of microbial proteins, while the European Innovation Council (EIC) committed €50 million to support scaling alternative protein production across Europe. Such investments signal confidence in the role of AI as a catalyst for change in the food industry.


The market dynamics are compelling. Consumers are increasingly demanding sustainable and ethical food options, and governments are supporting innovation to address global challenges such as food security and climate change. These factors create fertile ground for AI-driven solutions to thrive.


Challenges and Ethical Considerations


While the opportunities are immense, challenges remain. Public perception of synthetic biology and genetically modified organisms continues to be a hurdle, with consumers often wary of lab-grown or AI-designed products. Regulatory frameworks are also evolving, and companies must navigate a patchwork of standards across global markets.


Additionally, the ethical implications of automating decisions in food production must be addressed. Who owns the data driving these AI models? How can transparency be ensured in algorithmic processes? These questions will become increasingly important as the technology matures.


The Road Ahead


The launch of the Bioprocess Foresight platform by New Wave Biotech represents a pivotal moment in biomanufacturing. As companies like NotCo, Shiru, and others continue to push the boundaries of what’s possible with AI and biotechnology, the food industry is on the cusp of a transformation.


Looking ahead, the integration of AI and synthetic biology could fundamentally reshape the global food system. By making production processes more efficient, sustainable, and scalable, these technologies hold the promise of addressing some of the most pressing challenges of our time—feeding a growing population, reducing environmental impacts, and ensuring equitable access to nutritious food.


The age of AI in foodtech is just beginning, and the possibilities are as vast as the challenges they aim to solve.

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