I work with programs that take deeptech hardware or IP led startups seriously - not as a name on an advisory panel, but as someone who shows up, evaluates with rigor, and gives founders feedback they can act on. Same lens I apply when evaluating deals for investors I work with programs that want their deeptech founders to go the Extra mile beyond research. The focus is helping founders think about markets, customers, and business models from the beginning, not after the prototype. The goal is to help them evolve from academic researchers into founder operators and future CXOs.
Hands-on group workshops for 5-10 deep science founding teams - spread over 10-15 hours across multiple days, with time built in for customer calls between sessions. Covers customer discovery, venture math, unit economics, and the commercial fundamentals that don't get taught in a lab. The goal is a mindset shift: from scientist or academic to founder who understands what customers actually need and how a business works around that.
Structured assessment across TRL, market readiness, manufacturability, and founder quality. Delivered as clear investment signal - written to be acted on by your team.
Ongoing engagement with founders at the lab-to-fundable inflection. Positioning, investor readiness, narrative clarity - so your portfolio moves from technically impressive to investor-compelling.
Structured evaluation for grant panels, demo days, and pitch competitions. Clear, actionable feedback rooted in operator experience. Same lens I use evaluating deals for investors.
I keep a narrow mandate by design. The more specific my focus, the more useful I am. If you are outside these parameters, I would rather say so upfront.