Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
GV (Google Ventures) is a venture-capital firm founded in 2009 that backs a broad portfolio of AI-focused startups building the next generation of AI-native applications, from agentic systems and AI coding agents to multimodal platforms. Its investments span AI applications across consumer and enterprise use cases, with a focus on healthcare AI, developer tools and security, and AI infrastructure such as data labeling and photonic computing. Notable portfolio examples include Harvey, Hebbia, Synthesia, StackBlitz, Vercel, Snorkel, Deepset, SambaNova, Modular, and Lightmatter, reflecting a strategy to accelerate AI innovation and adoption across industries.
Tone of voice
72% of how AI describes GV reads positive.
Words AI uses
AI reaches for independent · founder-friendly · most active when it describes GV.
Sources
en.wikipedia.org shapes more of what AI says about GV than any other source, at 13% of its citations.
gv.com · startupblink.com · cbinsights.com · linkedin.com
The market map
Corporate Venture Capital Funds →Excerpts where GV appeared in the AI's answer

GV (Google Ventures) is often mentioned among the more founder-friendly CVCs because it has considerable independence from Google's operating businesses

GV (Google Ventures) : Operating independently from Alphabet, GV functions much more like a top-tier traditional venture firm than a conventional corporate arm.
Excerpts where GV appeared in the AI's answer

GV (formerly Google Ventures) : Alphabet's venture arm frequently co-leads or participates in major cybersecurity rounds.

GV (Google Ventures) — Alphabet's independent venture arm actively deploys capital into category-defining enterprise and security innovations.
Excerpts where GV appeared in the AI's answer

GV (Google Ventures) —Known for strong technical conviction and engineering-heavy partnerships in developer ecosystems and infrastructure.

GV (Google Ventures) – Frequently invests in developer infrastructure and can be a good fit if your product has broad platform potential.