How to Pitch Conviction
A practical guide based on our AI simulation of Conviction'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 Conviction content.
Investment Thesis
Purpose-built for AI-native 'Software 3.0' companies. Often the first investor. Concentrated portfolio, few bets, deep commitment. Gravitates to technical teams building with velocity and pragmatism. Favours practical AI infrastructure over flashy consumer demos. Argues that when code is cheap, judgment becomes the work.
What They Look For
Sectors
Stages
Typical check size: $500000M – $5000000M
Red Flags
Things Conviction investors watch for — avoid these in your pitch.
- Generic idea with no technical depth
- AI wrapper with no defensible surface
- Founders who cannot explain their own architecture
- Chasing hype rather than a real workflow
- No velocity
Questions They'll Ask
Prepare answers for these. The AI persona will challenge you on them.
- What do you understand about this domain that incumbents do not?
- Walk me through your architecture, why this way?
- What breaks when the model gets ten times better?
- Why does this need to be a company rather than a feature?
- What is your unfair distribution into this buyer?
1 AI Persona to Pitch
Sarah Guo
Founder & General Partner
Precise, methodical, deeply technical. Judges by architecture and velocity, not storytelling. Rewards clarity and intellectual honesty. · Technically rigorous, calm, unimpressed by hype. Asks second and third order questions and follows a technical thread until it breaks.
Ready to pitch?
Pitch the AI simulation of Conviction's thesis. Get a 12-dimension scored verdict. If you pass, your report surfaces to the real fund.
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