𝐃𝐨 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤 𝐓𝐄𝐀𝐬 𝐚𝐫𝐞 𝐭𝐨𝐨 𝐜𝐨𝐦𝐩𝐥𝐞𝐱?

You’re not alone, and here’s why it doesn’t have to be that way.

👋 If you're an early-stage founder trying to understand your production economics, you've probably hit this wall:

𝐌𝐨𝐬𝐭 𝐓𝐄𝐀 𝐭𝐨𝐨𝐥𝐬 𝐞𝐱𝐩𝐞𝐜𝐭 𝐲𝐨𝐮 𝐭𝐨 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐤𝐧𝐨𝐰 𝐲𝐨𝐮𝐫:

▪️ Microbial production rates

▪️ Doubling time

▪️ Densities & viscosities

▪️ Aeration flow rates

▪️ pH buffers

▪️ Membrane specs

▪️ Separation efficiencies

𝐀𝐥𝐥 𝐰𝐡𝐢𝐥𝐞 𝐲𝐨𝐮'𝐫𝐞 𝐬𝐭𝐢𝐥𝐥 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐬𝐡𝐚𝐤𝐞 𝐟𝐥𝐚𝐬𝐤𝐬 𝐨𝐫 𝐛𝐞𝐧𝐜𝐡𝐭𝐨𝐩 𝐮𝐧𝐢𝐭𝐬. 🤯 

Many platforms combine process simulation + TEA + LCA into one massive model. That might work for large teams or later-stage companies…

…but it overwhelms early founders who just want answers like:

▪️What does scaling up look like❓ 

▪️What will it cost at scale❓ 

▪️When does it become profitable❓ 

▪️What happens if energy or feedstock prices go up❓ 

𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐈 𝐝𝐨 𝐢𝐧𝐬𝐭𝐞𝐚𝐝

🚀 I specialize in pragmatic, founder-friendly TEAs that don’t require full-blown simulations.  𝐉𝐮𝐬𝐭 𝐲𝐨𝐮𝐫 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐝𝐚𝐭𝐚, 𝐲𝐨𝐮𝐫 𝐯𝐢𝐬𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬. No complex software. No guessing 300 parameters you don’t have yet. Instead, I build 𝐝𝐲𝐧𝐚𝐦𝐢𝐜, 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨-𝐛𝐚𝐬𝐞𝐝 𝐦𝐨𝐝𝐞𝐥𝐬 that help you and your investors:

✅ Explore scale-up pathways

✅ Challenge key assumptions

✅ De-risk early decisions

𝐖𝐡𝐚𝐭 𝐢𝐟 𝐲𝐨𝐮𝐫 𝐓𝐄𝐀 𝐰𝐚𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐟𝐨𝐫 𝐟𝐨𝐮𝐧𝐝𝐞𝐫𝐬, 𝐧𝐨𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬?

📩 Curious if this approach is right for your startup?

𝐍𝐨 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚 𝐭𝐡𝐞𝐬𝐢𝐬. 𝐉𝐮𝐬𝐭 𝐛𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐲 𝐚𝐧𝐝 𝐚 𝐫𝐨𝐮𝐠𝐡 𝐢𝐝𝐞𝐚 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬. 📅 Book a call → https://bit.ly/4lRp1uO