DataPower Ventures

www.datapower.vc

VCMatch tracks DataPower Ventures as an investor focused on AI/ML, Data Infrastructure, and Enterprise SaaS companies, Seed and Series A rounds, New York City and Silicon Valley markets, and $100k check sizes. Upload your deck to compare your startup against the full private matching profile.

Check Size

$100k

Stages

Seed, Series A, Series B, Growth, Late Stage

Focus Areas

AI/ML, Data Infrastructure, Enterprise SaaS

Geography

New York City and Silicon Valley

Investment Thesis

DataPower Ventures invests in data and AI startups that combine cutting-edge technology with novel business models to solve complex challenges at scale. Their approach centers on being ‘more than just investors’ by actively co-creating value through hands-on involvement in strategy, product development, and go-to-market execution. They believe in supporting founders from inception through industry leadership, providing battle-tested expertise, game-changing networks, and smart capital.

Is DataPower Ventures right for your startup?

Upload your pitch deck to compare your startup against VCMatch's private investor profile, including fit, timing, and next-step signals.

See If You're a Match View Sample Match

Investment Focus

Who should take a closer look

DataPower Ventures is most relevant for founders raising Seed, Series A, and Series B rounds in AI/ML, Data Infrastructure, Enterprise SaaS, and Healthtech, especially across New York City and Silicon Valley, with public check-size signals around $100k.

Focus statement

DataPower Ventures grows Data + AI startups in New York City & Silicon Valley, investing in data products that improve lives across applied AI, data infrastructure, AI-driven SaaS, and DeepTech, particularly in healthcare, finance, enterprise software, and sustainability.

Value Add

Data-Driven Expertise: Team of data and AI specialists with deep technical knowledge, not just generalist investors
Operational Experience: Partners have founded and scaled successful tech companies with battle-tested strategies
Proprietary Scale-up Framework: Customized methodology for scaling data and AI startups
Active Value Creation: Hands-on involvement in strategy, product development, and go-to-market execution
Cross-Industry Data Network: Extensive network enabling unique data partnerships and customer opportunities
Ethical AI Focus: Champion responsible AI development with emphasis on transparency and accountability
Founder-Centric Approach: Flexible terms prioritizing long-term value creation over short-term gains
Multi-stage Investment: Support from seed through Series B and beyond with tailored support at each stage