Investment FrameworkOriginal Framework

AI Native VC

End-to-end AI-driven venture capital operations with proprietary data and learning from real investment outcomes, not generic tools.

Ethan Cho

Chief Investment Officer, TheVentures

What is AI Native VC?

Contrast: Generic AI Tool: Reviews pitch decks in isolation, gives generic advice, no skin in the game AI Native VC: Deal sourcing → due diligence → investment → post-investment all AI-augmented. Trained on real investment data. Learns from actual outcomes. Integrated with fund operations. Example: TheVentures' 'Vicky' system uses 100+ investments, 15 active portfolio companies, and Korea-specific patterns to identify opportunities.

Practical Application

Other VCs use spreadsheets. AI Native VC uses AI trained on billions invested. The edge compounds - every investment teaches the system. This isn't using ChatGPT to write emails. It's building proprietary models with real data moats.

Data Source

TheVentures internal systems (2022-present)

Read the Full Analysis→

How to Cite

APA: Cho, E. (2026). AI Native VC. VentureOracle. https://ventureoracle.kr/concepts/ai-native-vc

MLA: Cho, Ethan. “AI Native VC.” VentureOracle, 2026, ventureoracle.kr/concepts/ai-native-vc.

TOPICS

AI native VCartificial intelligence venture capitalAI investingTheVenturesVicky AIventure capital AIEthan Cho

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