Conviction Partners

www.conviction.com

VCMatch tracks Conviction Partners as an investor focused on AI/ML, Enterprise SaaS, and Developer Tools companies, Pre-Seed and Seed rounds, United States, San Francisco, and New York City markets, and $1m to $25m check sizes. Upload your deck to compare your startup against the full private matching profile.

Check Size

$1m to $25m

Stages

Pre-Seed, Seed, Series A, Series B

Focus Areas

AI/ML, Enterprise SaaS, Developer Tools

Geography

United States, San Francisco, and New York City

Investment Thesis

Conviction Partners invests very early in AI-native companies (what they call “Software 3.0”) with a hands-on, founder-first approach. They intentionally keep a small, early-stage fund so they can “be beloved partners to founders” rather than simply “deploying capital,” providing concentrated support (network, product/customer introductions, recruiting, and compute) to help technical teams move fast and build category-defining AI products.

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Investment Focus

Who should take a closer look

Conviction Partners is most relevant for founders raising Pre-Seed, Seed, and Series A rounds in AI/ML, Enterprise SaaS, Developer Tools, and Data Infrastructure, especially across United States, San Francisco, and New York City, with public check-size signals around $1m to $25m.

Focus statement

They are "purpose-built to serve AI-Native, \"Software 3.0\" companies," writing $1–$25M checks, often as the first investor, with a preference for technical founders (engineers, researchers, product folks) building AI-first products and infra.

Value Add

Explicit AI-first mandate: "purpose-built to serve AI-Native, \"Software 3.0\" companies."
Very early stage / first check bias: "We like to invest early, and are often the first investor."
Small fund/partner-centric model: they "have a small, early-stage focused fund" to "be beloved partners to founders, and we don't want to be in the business of 'deploying capital.'"
Operational and resource programs: Embed program (grant/compute/network) — they provide "dedicated H100s" and partner credits to reduce infrastructure barriers for founders.
Deep technical orientation: they "gravitate towards technical teams who build with velocity and pragmatism" and back engineers, researchers, product folks and domain experts.
Active community & talent pipeline: host events like Mixture of Experts, Embed, weekly dinners and curated introductions to customers and top talent.
Domain-level thesis generation: public, granular idea lists and sector-specific theses (security/agents/enterprise automation/healthcare/robotics/chips/etc.) to help source and evaluate opportunities.