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Henrik Landgren, co-founder of Gilion, sits down with Dealroom's Andrii Degeler at Slush to discuss how data-driven platforms are reshaping the way startups access capital. Drawing on his experience building Spotify's analytics team and co-creating EQT Ventures' Motherbrain, Landgren explains why the traditional binary of VC or nothing leaves most founders underserved — and how connecting internal company data with AI can unlock non-dilutive financing for businesses that don't fit the venture model. The conversation also explores how banks are warming to the high-growth startup space, why agentic AI is turning investment analysis into something resembling software development, and what it means to build an "investment workflow as code." 0:00 Introduction and Henrik Landgren's background 0:54 What is Gilion and how does it work? 2:33 Why "alternative" financing is actually the original model 2:47 From Spotify analytics to EQT Ventures to Gilion 8:05 Why Gilion chose not to deploy capital directly 9:15 Business model: From lending to SaaS platform 10:58 Can VCs use the platform too? 11:20 Banks' growing interest in the startup space 13:54 Forecasting accuracy and loan track record 15:58 Where does Gilion's data come from? 17:45 Hygiene data sets vs exotic signal data 20:11 Will agentic AI make data-driven investing a commodity? 23:45 Applying the agentic approach at the LP level 24:27 Closing remarks