"๐๐โ๐ซ๐ ๐ง๐จ๐ญ ๐ซ๐๐๐๐ฒ ๐๐จ๐ซ ๐ ๐๐๐ ๐ฒ๐๐ญ, ๐ฐ๐โ๐ซ๐ ๐ฌ๐ญ๐ข๐ฅ๐ฅ ๐ฏ๐๐ฅ๐ข๐๐๐ญ๐ข๐ง๐ ๐๐ง๐ ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ฌ๐ข๐ง๐ ๐ญ๐ก๐ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ."
- Gustavo Valente

- Aug 13
- 1 min read

I hear this often. And every time, my brain freezes for a second. ๐คฏย
ย Why? Because ๐ญ๐ก๐๐ญโ๐ฌ ๐๐๐ญ๐ฎ๐๐ฅ๐ฅ๐ฒ ๐ญ๐ก๐ ๐ฉ๐๐ซ๐๐๐๐ญ ๐ฆ๐จ๐ฆ๐๐ง๐ญ ๐ญ๐จ ๐ฌ๐ญ๐๐ซ๐ญ ๐ฒ๐จ๐ฎ๐ซย hashtag#TechnoEconomicAnalysis.
Hereโs why:
๐ ๐๐๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐๐ ๐๐ซ๐ ๐ง๐จ๐ญ ๐ฌ๐๐ช๐ฎ๐๐ง๐ญ๐ข๐๐ฅ, ๐ญ๐ก๐๐ฒ ๐๐ซ๐ ๐ฉ๐๐ซ๐๐ฅ๐ฅ๐๐ฅ ๐ญ๐ซ๐๐๐ค๐ฌ ๐๐จ๐ง๐ง๐๐๐ญ๐๐ ๐๐ฒ ๐๐๐๐๐๐๐๐ค ๐ฅ๐จ๐จ๐ฉ๐ฌ.
ย Run them together and your process development will stay guided by market and cost realities from day one.
๐ ๐๐จ๐ญ ๐๐ฅ๐ฅ ๐๐จ๐ฌ๐ญ-๐๐ฎ๐ญ๐ญ๐ข๐ง๐ ๐ก๐๐ฌ ๐ญ๐ก๐ ๐ฌ๐๐ฆ๐ ๐ข๐ฆ๐ฉ๐๐๐ญ.
ย Reducing feedstock prices, media ingredients, or fermentation time might feel like progress, but TEA shows which variables (yield, energy, labour, utilities, etc.) truly move your cost per kg. Thatโs where optimisation matters most.
๐ก ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ฌ๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐๐๐จ๐ง๐จ๐ฆ๐ข๐ ๐๐จ๐ง๐ญ๐๐ฑ๐ญ ๐ข๐ฌ ๐ฅ๐ข๐ค๐ ๐๐ซ๐ข๐ฏ๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐ ๐๐ฅ๐ข๐ง๐๐๐จ๐ฅ๐.
ย You might be improving yield or reducing cycle time, but without knowing the economic impact, you risk months chasing low-impact wins.
๐ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ ๐ข๐ญ ๐จ๐ง ๐ฉ๐๐ฉ๐๐ซ ๐๐๐๐จ๐ซ๐ ๐ฒ๐จ๐ฎ ๐ฉ๐๐ฒ ๐๐จ๐ซ ๐ข๐ญ ๐ข๐ง ๐ญ๐ซ๐ข๐๐ฅ๐ฌ.
ย Instead of discovering after scale-up that your โperfectโ process isnโt commercially viable, model and adjust early, while changes are still fast and cheap.
And when guided by an ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐๐ ๐๐๐ ๐๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐๐ง๐ญ, youโre not just running the numbers, youโre prioritising the right experiments, avoiding costly dead-ends, and aligning scale-up with business goals from day one.
If your startup is in the middle of validation and cost reduction, thatโs not a reason to delay TEA, itโs the reason to start it.



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