Welcome to the 130th edition of Deep Tech Catalyst, the educational channel from The Scenarionist where science meets venture!
This week, I sat down with Tobias Egle, Senior Associate at Fine Structure Ventures. We explored how advanced materials are becoming increasingly critical to photonics, why foundry compatibility and manufacturing risk matter as much as laboratory performance, how photonics startups can shorten lengthy development cycles, and which customer and foundry commitments provide credible early validation.
Key takeaways from the episode:
🔬 Materials create value when they improve the system
A novel material is not a business on its own. Customers buy qualified components with defined performance, reliability, and a scalable supply chain. The strongest companies connect materials innovation to a measurable improvement in areas such as energy efficiency, bandwidth density, or integration.
⚙️ Foundry transfer is a multi-year engineering program
Moving from a university lab to a commercial process requires repeated cycles of tape-out, measurement, redesign, and qualification. These cycles can take six to nine months or longer, making iteration speed a strategic advantage. Working with multiple foundries or parallelizing development can help reduce time between learning cycles.
🏭 Foundries evaluate risk, volume, and opportunity cost
New materials can introduce contamination risks, require dedicated equipment, and consume significant engineering resources. A foundry therefore needs to see a credible path toward meaningful wafer volume. In some cases, tier-2 or tier-3 foundries may be more willing to experiment with specialized processes than leading manufacturers.
📈 Strong validation requires real commitment
Letters of intent alone carry limited weight. Paid evaluations, pilot agreements, and strategic customer investments provide stronger evidence because they involve money, engineering time, fabrication capacity, or purchasing intent.
Pre-Scale Value Creation
A case-based analysis of ten Deep Tech models for creating value before scale.
