What does a founder actually build when AI agents produce the research?

Drawing on the development of iPulse AI, an Open Agentic Investment Research Platform, Russlan Ramdowar shares the practical decisions behind building an agentic investment research company: turning an idea into connected research workflows, combining distinct AI perspectives, publishing generated forecast reports, and making the process inspectable.

The discussion explores how automation changes a founder's day-to-day work, what to automate, where human judgement remains necessary, and how to handle model disagreement, reliability and trust. It also connects the research product with an automated podcast and the challenge of communicating AI-generated work responsibly.

The session works as a talk, panel discussion or fireside conversation, inviting founders and investors to compare approaches to AI-native company building, product development and organisational design. It centres on implementation choices and lessons from the build, with evidence and limitations made explicit.

Audience: founders, investors, AI builders and business leaders. Discussion areas include AI-native company building, entrepreneurship, agentic workflows, investment research, product development and trust. Format and duration can be adapted to the programme.