Building a deep-tech startup often means creating a product for a market that may not exist for years. Daniel Docter, managing director at Dell Technologies Capital, argues that success hinges on the founders themselves, not just the technology. His firm, which has invested $1.8 billion since 2012 and recorded six major exits at the end of 2025, takes a patient, network-driven approach to early-stage investing.
The Fund’s Technical Roots
Docter holds degrees in electrical engineering and computer science, and his background mirrors the broader team at Dell Technologies Capital. Many investors come from fields like data science and computer engineering, and they have experience at both large tech companies and startups. That technical depth shapes how the firm evaluates opportunities. When assessing a potential investment, the team looks first at the technology’s impact — what problem it solves, what it might disrupt — before traditional financial metrics take center stage.
Investing in People and Network
Docter describes Dell Technologies Capital’s network as unique in venture capital. The firm has direct access to Michael Dell’s company network, which provides insight into what Fortune 500 enterprises are demanding. This perspective helps the fund identify trends early and also supports portfolio companies after investment. Docter frames the strategy around Warren Buffett’s adage, “Invest in what you know,” but adds a twist: “Invest in what you know, but also in what you can help with.”
Why AI Will Not Kill SaaS
Docter addressed a common fear in the industry: that AI will render the SaaS business model obsolete. He believes transformation is coming but not extinction. Software-as-a-service companies that adapt by integrating AI capabilities will remain valuable. The real differentiator, he argues, will be distribution — how startups get their products into the hands of users. That is where Dell Technologies Capital’s enterprise relationships provide an edge.
Why This Matters
For entrepreneurs building deep-tech ventures, the lesson is clear: market timing matters less than founder character and network support. The firm’s approach shows that venture capital can be patient when the technology is disruptive. For the broader startup ecosystem, Docter’s confidence in SaaS signals that AI will augment rather than eliminate existing software models, offering a roadmap for companies navigating the current wave. Investors, meanwhile, should watch how distribution strategies evolve as AI capabilities mature.



