Silicon Valley Data Capital

svdcapital.com

VCMatch tracks Silicon Valley Data Capital as an investor focused on AI/ML, Data Infrastructure, and Enterprise SaaS companies and Seed and Series A rounds. Upload your deck to compare your startup against the full private matching profile.

Check Size

Not specified

Stages

Seed, Series A

Focus Areas

AI/ML, Data Infrastructure, Enterprise SaaS

Geography

Not specified

Investment Thesis

SVD Capital invests early in enterprise data infrastructure and applications that address the full lifecycle of data — “from collection and transmission, to storage, insight, and artificial intelligence” — leveraging deep investment and operating experience to “identify and accelerate key companies building this next generation of enterprise technology.” The firm frames its thesis around the structural shift caused by “ubiquitous connectivity and artificial intelligence” which creates “a decade of opportunity” for companies providing platforms for a data-driven future, and seeks founders who commercialize advances from online giants and leading universities to disrupt vertical industries.

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Investment Focus

Who should take a closer look

Silicon Valley Data Capital is most relevant for founders raising Seed and Series A rounds in AI/ML, Data Infrastructure, Enterprise SaaS, and Cloud Infrastructure.

Focus statement

"We’re an early-stage venture fund focused on transformative data companies." From IoT to AI, the firm targets companies across the full data lifecycle that enable enterprises to manage, analyze, and act on rapidly expanding data.

Value Add

"Unique combination of investment and operating experience" — the firm emphasizes both investing and hands-on operating backgrounds as a competitive edge.
Team experience spans "four generations of enterprise technology investment professionals" including venture investors, C-level executives, senior advisors, serial entrepreneurs, and founders.
Founders / leadership have built and exited companies (e.g., Silicon Valley Data Science, 365 Data Centers, SiteSmith) giving domain expertise in enterprise data and data science.
Explicit focus on commercialization of techniques from "online giants and leading universities" and applying them "disruptively across vertical industries."
Systematic, operator-oriented approach: they "design, test, build, and invest in positive experiences" rather than purely financial sponsorship.