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The intense need to show positive clinical data to secure the next funding round forces biotech startups to prioritize speed over everything. Consequently, crucial but time-consuming manufacturability assessments are often postponed, viewed as an 'extra cost' that can be handled later, creating significant downstream technical debt.

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For early-stage biotech companies, saving money by limiting initial drug substance characterization is a false economy. A comprehensive, state-of-the-art characterization before Phase 1 is essential to de-risk the program by identifying molecular issues before they become catastrophic problems in late-stage development.

Companies often prioritize small gains in a drug's activity (PK/PD data) during candidate selection, while ignoring manufacturability. This can lead to selecting a molecule that is extremely difficult or costly to produce, a problem that a slightly less active but more manufacturable alternative would have avoided.

Investors evaluate risk differently based on a company's stage. For early-stage ventures, the primary question is clinical risk: 'will the drug work?'. CMC and manufacturing are secondary. However, for late-stage (Phase 3) companies, manufacturing readiness becomes a critical diligence area where a two-year delay could be fatal.

The "time is lives" mantra also applies to the companies themselves. For single-asset biotechs with short financial runways, trial delays can bankrupt the company before the drug has a chance. "Time to first patient" is a critical business milestone, not just a clinical one.

A great molecule isn't enough to attract investment. Scientists must demonstrate they've considered manufacturing from day one. Designing a robust process that fits a consistent GMP facility shows investors that the project is not just a scientific curiosity but a viable path to a scalable product.

For live cell therapies, the manufacturing process fundamentally shapes the biological product. Teams often rush to scale production, focusing on yield and cost. Instead, they should first fully understand how the process impacts cell potency and function to avoid effectively scaling the wrong biology.

Unlike most biotechs that start with researchers, CRISPR prioritized hiring manufacturing and process development experts early. This 'backwards' approach was crucial for solving the challenge of scaling cell editing from lab to GMP, which they identified as a primary risk.

According to Novartis's CEO, a top reason for rejecting potential biotech partners is their underinvestment in Chemistry, Manufacturing, and Controls (CMC). Startups often neglect this unglamorous work, leading to deal failure because the acquirer can't be sure the drug can be scaled efficiently and safely.

The industry mantra "the process is the product" is misleading. While process engineering is crucial, its value is entirely dependent on the clinical success of the biopharmaceutical. Without an effective drug, even the most sophisticated, AI-driven manufacturing process has no use case.

The primary challenge for many MedTech innovations is not the initial science but translating a lab process into a robust, scalable, and GMP-compliant manufacturing system. This requires a shift from proving a concept to ensuring consistent quality and patient safety.