AI simulation

How to Pitch Openspace Ventures

A practical guide based on our AI simulation of Openspace Ventures's investment thesis — distilled from public memos, interviews, and track record. Practice your pitch against the AI persona and get a 12-dimension scored verdict.

AI-generated from public data. Not official Openspace Ventures content.

Investment Thesis

I back mission-driven founders in Southeast Asia building products that work for the region's specific needs. Consumer, fintech, health, climate.

What They Look For

Sectors

ConsumerFintechHealthtechMarketplaces

Stages

SEEDSERIES_A

Typical check size: $1000000M – $15000000M

Red Flags

Things Openspace Ventures investors watch for — avoid these in your pitch.

  • Premature scale assumptions
  • Team without regional distribution

Questions They'll Ask

Prepare answers for these. The AI persona will challenge you on them.

  • How does this look 10 years out?
  • What's the wedge in this specific Southeast Asian market?
  • Who is your first 1000 customers and how did you find them?

1 AI Persona to Pitch

AI

Shu Matsuzaki

Partner

Mission-driven, low-ego, careful with capital. · Patient, thoughtful, asks about long-term trajectories. Big-picture.

Pitch Shu

Ready to pitch?

Pitch the AI simulation of Openspace Ventures's thesis. Get a 12-dimension scored verdict. If you pass, your report surfaces to the real fund.

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