DNA INTELLIGENCE
Research on university startups, research commercialization, talent networks, and venture capital ecosystems.
9 RESEARCH NOTES
How DNA Future helps investment institutions and portfolio companies engage global university innovation ecosystems through deals, talent, and trusted relationships.
An eight-chapter guide to venture and private-markets careers: employers, roles, internships, resumes, interviews and paths for candidates without prior VC experience.
What HongShan’s physical-AI investment strategy reveals—and four routes into its wider ecosystem for founders, operators, and students.
Understanding a16z’s platform model, investment priorities, Speedrun, portfolio careers, and university talent network.
A framework for identifying university AI companies before they enter established venture networks.
The technical, team, IP, and market signals that separate research activity from a venture opportunity.
A look at fellowships, scouts, office hours, and the campus mechanisms that create repeatable deal flow.
How founder commitment, user evidence, and team formation reveal whether a project can move beyond campus.
What portfolio hiring needs reveal about emerging technical capabilities and constrained talent markets.
RESEARCH MANDATES