Race Capital

www.race.capital

VCMatch tracks Race Capital as an investor focused on AI/ML, Developer Tools, and Data Infrastructure companies, Pre-Seed and Seed rounds, San Francisco Bay Area and United States markets, and $1m to $10m check sizes. Upload your deck to compare your startup against the full private matching profile.

Check Size

$1m to $10m

Stages

Pre-Seed, Seed, Series A

Focus Areas

AI/ML, Developer Tools, Data Infrastructure

Geography

San Francisco Bay Area and United States

Investment Thesis

The firm is an early-stage, founder-oriented investor that leads seed rounds (and select pre-seed/Series A) with a hands-on, company-building mindset. They emphasize backing technical, engineering-led teams building enterprise infrastructure—especially for the AI era—and take a high-conviction, long-term approach, often following the same founders from pre-seed through Series A and beyond. They position themselves as active partners who embed in GTM and sales rather than acting as passive cap-table investors.

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Investment Focus

Who should take a closer look

Race Capital is most relevant for founders raising Pre-Seed, Seed, and Series A rounds in AI/ML, Developer Tools, Data Infrastructure, and Cybersecurity, especially across San Francisco Bay Area and United States, with public check-size signals around $1m to $10m.

Focus statement

They specialize in enterprise and infrastructure companies (infra-first, engineering-led, built for enterprises), with priority investments in AI infrastructure, developer tools and data platforms, open source systems with community pull, enterprise security/compliance, and AI-native vertical B2B SaaS.

Value Add

Prefers to lead seed rounds and often leads or co-leads the majority of rounds they do ("We primarily lead seed rounds"; "We typically lead or co-lead the majority of rounds we do").
Very early-stage willingness, including pre-incorporation investments ("It’s never too early. We’ve invested before the company was incorporated.").
Infra-first, engineering-led thesis focused on the AI era ("Our core focus is: infra-first, engineering-led, and built for enterprises."; "We back enterprise infrastructure founders—especially those building the next-generation stack for the AI era.").
Hands-on GTM and sales support: embed in sales process, run product live, introduce customers, and observe sales calls ("We often download and run your product. If we’re serious, we’ll intro real customers and observe your sales calls."; "We embed in your sales process, not on your cap table.").
Sourcing from engineering channels and open source ("we source founders directly from GitHub, customer referrals, and engineering circles") and explicit interest in open source with community pull.
Check sizing and follow-on strategy: typical seed checks $2M–$6M (range $1M–$10M in exceptions) and follow-ons through Series A ("Our typical check size for a seed round is $2M–$6M... We follow on up to Series A and often lead multiple rounds.").
Team with operational experience selling to Fortune 500 and building $2B+ ARR businesses—positioned as builders, not just financiers ("Our team has sold to the Fortune 500, taken companies public, and built $2B+ ARR startups from scratch.").