All Investor Spotlights
Spotlight No. 03September 18, 2026

Sarah Guo

Founder & General Partner at Conviction

Sarah’s line is the complement to lab-maximalism: don’t wait for consensus, don’t wrap the model, and buy ownership in the people building systems the frontier labs cannot fully occupy—starting before the product looks like a company.
BackgroundFour degrees from the University of Pennsylvania in five years (BA, BS, MBA from Wharton, MA). Grew up in Wisconsin; parents were engineer-founders who emigrated from China.
Career
Goldman Sachs (Workday IPO)Greylock (Partner & Youngest GP at 28)Conviction (Founder & GP, 2022)
Inception

Inside traditional venture platforms she kept hitting the same legacy priors: robotics never works, lawyers and doctors don’t buy software, science doesn’t belong in venture-backed companies. Convinced that foundation models would fundamentally break those priors, she left Greylock in 2022 to launch Conviction one month before ChatGPT.

Firm Strategy & Approach

Conviction
Stage
Inception / Seed / Series A
Check Size
$5M – $20M+
Portfolio Model
~20–25 companies per fund cycle
Fund / AUM
$101M Fund I (~$1B AUM across vehicles)
Sectors:
Applied AI & VerticalsInference & Deployment InfraOpen Frontier ModelsRobotics & Physical AIAI for Science
Conviction over optionality: value migrates to work whose correctness is private.
Core Inception Belief

Frontier foundation labs cannot productize every workflow; durable enterprise value sits with teams that own the definition of correctness inside private, mission-critical workflows.

Day-Zero Value Creation

Capital, executive & technical recruiting, deep compute/customer access, and long-term board partnership staying long after the seed wire.

Core Theses & Mental Models

1. Market priors break: Discarding old venture maps

Old VC maps dictated that professional services (law, medicine), robotics, and company-built science were bad venture markets. Once foundation models cross a capability threshold, those historical “impossibles” become massive new market categories. Harvey, OpenEvidence, Sunday Robotics, and Chai Discovery are fundamentally the same bet in different industry costumes.

2. The untrainable corner: Where correctness is private

Thin wrappers get eaten by foundation models. Durable enterprise value sits where models cannot be scored from the outside: companies that own the proprietary definition of “correct” inside a customer’s private world—contracts, tickets, codebases, clinics, and factory floors. Sierra’s resolution-based pricing and Cognition’s software engineering guarantees are prime examples of capturing that last untrainable corner.

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