Alagene Webinar: Beyond Feasibility - Designing Economically Viable Bioproduction Systems
Alagene Webinar #1: Beyond Feasibility - Designing Economically Viable Bioproduction Systems
Many biological and process improvements enhance technical performance but fail to meaningfully reduce cost per kilogram or improve capital efficiency. This webinar presents a practical framework for using techno-economic analysis (TEA) to design commercially viable bioproduction systems.
Why technically successful bioprocesses fail economically
Technical feasibility does not guarantee commercial viability. Development decisions must also consider cost of goods sold (COGS), margins, production scale, facility strategy and the value of continued R&D investment.
We will explore:
- What truly drives COGS and cost per kilogram?
- Which biological or process improvements materially improve margins?
- When does changing the production host or process architecture make economic sense?
- When should you use a contract manufacturing organization, and when should you build your own facility?
- When does continued R&D investment stop making economic sense?
What the webinar covers
Alagene builds project-specific techno-economic models tailored to each product and every stage of the bioprocess—from fermentation through downstream processing and formulation.
In this webinar, we will:
- Explain why technically strong bioproducts sometimes fail to scale.
- Connect engineering equations, CapEx, OpEx, fermentation parameters and downstream processing costs in one model.
- Demonstrate how TEA becomes a living decision-making tool that evolves with experimental data.
- Present a case study showing how three TEAs guided scale-up and strategic decisions.
How TEA improves bioprocess development
Rather than serving as a one-time report, Alagene’s TEA supports decision-making throughout R&D by:
- Prioritizing experiments that meaningfully improve project economics.
- Identifying bottlenecks before they become costly surprises.
- Aligning development pathways with realistic commercial targets.
- Updating assumptions and strategy as new data becomes available.
