Fusion Fund

Fusion Fund is a Bay Area early-stage venture firm with a deep tech thesis spanning AI, healthcare, enterprise infrastructure, and frontier technology, founded and led by Lu Zhang. The fusionfund.com website and the firm’s public communications consistently emphasize technically substantive deep tech investing, including a real practice in healthcare AI and medical technology with portfolio depth in clinical AI, diagnostics, and life sciences tools. For healthcare AI founders, Fusion Fund is one of the more credible specialist-adjacent investors in early-stage healthcare AI: the firm understands deep technology, has portfolio companies in healthcare AI categories, and brings a Stanford and Bay Area technical network. Plausible check sizes run 500K to 3M at seed and Series A, with selective follow-on. The firm leads or co-leads at early stages. Founders building AI-driven clinical decision support, medical imaging foundation models, drug discovery platforms, healthcare data infrastructure with software economics, or AI-native medical devices with software components should approach. Founders building digital health workflow SaaS without strong technical defensibility, or services-heavy businesses, may find the fit thinner; the firm rewards technical edge. Entry path is warm introduction through Stanford research networks, deep tech operator communities in the Bay Area, or LinkedIn outreach to Lu Zhang and other partners with a technically substantive opening. The firm reads inbound and engages with credible technical pitches. Diligence will be technically rigorous: expect engagement with your scientific co-founders, scrutiny of model architecture and training data, and competitive analysis against well-resourced incumbents. Bring your technical lead to the first meeting. Fusion Fund rewards founders who can defend the underlying technology and articulate why their approach is durable, not founders selling on go-to-market alone.