GV (Google Ventures)

www.gv.com

VCMatch tracks GV (Google Ventures) as an investor focused on AI/ML, Enterprise SaaS, and Developer Tools companies, Pre-Seed and Seed rounds, and North America, Europe, and Israel markets. Upload your deck to compare your startup against the full private matching profile.

Check Size

Not specified

Stages

Pre-Seed, Seed, Series A, Series B, Series C, Growth, Late Stage

Focus Areas

AI/ML, Enterprise SaaS, Developer Tools

Geography

North America, Europe, and Israel

Investment Thesis

GV positions itself as a long-horizon, founder-first VC that combines the autonomy of a traditional VC with the technical expertise and resources of Google/Alphabet. The firm emphasizes multi-stage partnerships: they “focus all our energy on meeting and supporting founders at every stage of company-building,” optimize for ideas that “demand long-term relationships,” and say they “operate on long time horizons and deals in decades, not rounds.” GV couples capital with operating support (talent, communications, marketing) and unique access to Google/Alphabet people, products, and reputation to help founders scale.

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Investment Focus

Who should take a closer look

GV (Google Ventures) is most relevant for founders raising Pre-Seed, Seed, and Series A rounds in AI/ML, Enterprise SaaS, Developer Tools, and Cybersecurity, especially across North America, Europe, and Israel.

Focus statement

GV invests in "innovative founders across industries," with explicit focus areas including AI applications, healthcare (especially AI-enabled drug discovery and healthtech), developer tools & security, and AI infrastructure, while broadly supporting life sciences and frontier technologies.

Value Add

Alphabet as sole limited partner, providing "access to Google's people, products, global reputation" and the ability to connect startups with Google/Alphabet companies.
"Operating partners" model that provides hands-on support across executive talent, communications, and marketing.
Long time-horizon approach: "deals in decades, not rounds," emphasizing multi-stage support and durable founder relationships.
Deep technical and domain expertise on the investing team (MDs, PhDs, genomics and ML experts) enabling investments at intersections like life sciences + machine learning.
Active, research-driven sourcing and thematic diligence (example: partners perform semi-annual deep dives into technologies/industries).