Deep tech and AI are generating some of the most exciting — and most confusing — investment opportunities of our time. For angel investors, the challenge isn't just finding the right deals. It's knowing how to evaluate them when the technology itself can feel like a black box. This webinar is designed to change that. Whether you're a first-time angel or a seasoned investor looking to expand into new territory, we'll break down what you actually need to understand about AI and deep tech to make confident, informed bets — without needing a PhD to do it. Subjects Covered 1. What Is Deep Tech, Really? Defining the landscape — AI, biotech, robotics, climate tech, advanced materials — and why it behaves differently from traditional software startups in terms of timelines, capital needs, and risk profiles. 2. Why Angels Often Avoid It (And Why That's a Mistake) The common fears around deep tech investing — long development cycles, technical complexity, capital intensity — and how to reframe them as due diligence checkpoints rather than dealbreakers. 3. How to Evaluate a Team You Can't Fully Audit When you can't assess the code or the science yourself, what signals matter most? How to assess founder credibility, scientific advisory boards, IP ownership, and institutional backing. 4. AI-Specific Red Flags and Green Flags What separates a real AI company from one using the label as a marketing tool. How to ask the right questions about data moats, model differentiation, and defensibility. 5. Due Diligence Frameworks for Non-Technical Angels Practical tools and questions you can use in your next deep tech pitch meeting — even without a technical background.
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