Investment Associate
CadenzaCheck size: No personal ticket or signing authority is published. Cadenza's dedicated early-stage AI fund is $50M and targets pre-seed and seed opportunities; the separate blockchain strategy has also invested across early stages. Fund size should not be treated as Andrew's individual check range.
Andrew's reported Cadenza remit sits at the intersection of blockchain, AI and deep technical infrastructure. His electrical-engineering training, NASA flight-electronics work, TMT investment-banking experience and institutional investment analysis provide a useful diligence mix for AI infrastructure, security, decentralized systems and technical enterprise products. This is an evidence-based role synthesis, not a published personal thesis.
No personal criteria are published. Likely fit, inferred from his technical education, NASA and TMT experience plus Cadenza's stated mandate: deeply technical founders, credible infrastructure advantages, products that improve enterprise efficiency, defensible data or systems architecture and transformative markets where engineering diligence matters.
No personal pass list is available. Conservative inference: shallow AI wrappers without technical differentiation, blockchain projects without a useful settlement or infrastructure role, unsupported performance claims, weak security architecture and teams unable to connect engineering novelty to an enterprise buyer or scalable market.
First confirm that Andrew remains on the investment team because Cadenza's current team page omits him. If confirmed, lead with architecture, benchmarks, security, data strategy and the customer workflow; explain why the technical advantage persists and how it becomes an investable business. Otherwise route through info@cadenza.vc rather than assuming his role or authority.
Connect the system-level technical advantage to a buyer, measurable workflow improvement and scalable revenue rather than presenting engineering novelty alone.
Review architecture, performance evidence, security, data rights, integration burden and economic scalability before crediting an AI or blockchain infrastructure claim.
Confirm a recent direct firm listing before pitching because professional profiles and directory pages can lag team changes.
No writing has been linked yet. Kit can search for posts, interviews, and fund essays worth reading before outreach.
No podcast appearances are linked yet. Ask Kit to check for interviews that reveal how this investor thinks.
Quote coverage is incomplete. Kit can look for direct comments on markets, founders, and investment criteria.
Andrew evaluates investments at Cadenza. He previously worked as an investment analyst at Cambridge Associates, a TMT investment-banking summer analyst at Wedbush, and a flight-electronics intern at NASA JPL.