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Breaking the $50/g barrier with process intensification

Breaking the $50/g barrier with process intensification

Browse key moments from this webinar, or skip right to the topics you’re most interested in: 

(3:27) The Race to $50/g: How Biopharma Economics Are Shifting 

(9:57) Navigating the PI Landscape: Strategies, Trade-offs & Modeling 

(12:30) Maximizing Output: The Upstream Levers to Break the Cost Curve 

(15:20) From Bottleneck to Breakthrough: Transforming Downstream Processing 

(19:30) Right-Sizing Manufacturing: Matching Facility Design to Demand 

(34:46) The Endgame: Fully Integrated Continuous Biomanufacturing 

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Questions & Answers

Your questions, answered by our speakers 

During this webinar, attendees were given the opportunity to submit their questions. Some were answered live, while others were answered in a follow-up. Here, our experts revisit those questions and share insights you can leverage for your application. 

Yes, depreciation is fully included in the cost model. Capital costs are a critical component of cost-of-goods calculations and are often underestimated. To ensure accuracy, capital is broken into multiple categories—process equipment, facility infrastructure, and automation—and each is depreciated on an appropriate timeline. 

 For example, process equipment is typically depreciated over 8–10 years, facilities over 20–30 years, and automation systems on separate schedules. All of these costs are averaged and incorporated into the batch cost, ensuring the $50/g target reflects the full economic reality of manufacturing. 

Process intensification is highly applicable in outsourced manufacturing, particularly within CDMOs. In fact, CDMOs are among the most active adopters because they operate multi-product facilities and must consistently optimize capacity, flexibility, and turnaround time to remain competitive. 

 The most transferable strategies are those that increase operational agility—especially intensified and connected downstream processing. Reducing downstream processing time from several days to one or two days can significantly improve throughput and allow CDMOs to integrate new projects more efficiently. 

 From an ecosystem perspective, adoption is driven through collaboration. By connecting sponsors, CDMOs, and technology providers—and by demonstrating real-world feasibility through partnerships and case studies—these strategies can be successfully implemented even in outsourced environments.