Dell Technologies Capital: How To Build A Deep-Tech Startup For A Market That Isn’t Ready Yet And Why AI Won’t Kill SaaS
Daniel Docter, a managing director at Dell Technologies Capital, embodies a unique blend of deep technological understanding and astute business acumen. With a foundation in electrical engineering and computer science, including a Ph.D., Docter transitioned early in his career from pure technical pursuits to the strategic application of technology for commercial success. This pivotal shift, coupled with a demonstrated talent for securing funding for innovative projects, paved his path into the venture capital industry over 26 years ago. His journey reflects the ethos of Dell Technologies Capital, a Palo Alto, California-based firm whose investment team comprises individuals with diverse technical backgrounds—spanning electrical engineering, computer engineering, computer science, and data science—and experience in both large tech corporations and agile startups. This collective expertise informs the firm’s distinctive investment philosophy, particularly its focus on deeply technical founders and its approach to early-stage ventures.
Dell Technologies Capital’s investment strategy, as articulated by Docter, prioritizes the potential impact of a technology over traditional financial metrics in the seed and Series A stages. The team rigorously evaluates the problem a technology solves, its disruptive potential, and its functional efficacy. This approach has been instrumental in the firm’s success since its inception in 2012. To date, Dell Technologies Capital has deployed $1.8 billion across the enterprise technology landscape, culminating in six significant exits at the close of 2025 alone.
In a recent conversation with Crunchbase News, Docter delved into the evolving landscape of Artificial Intelligence (AI), its transformative effect on Software as a Service (SaaS), and the critical role of distribution in distinguishing market leaders among AI startups. He also provided insights into Dell Technologies Capital’s investment criteria and its approach to nurturing deep-tech companies.
The Dell Technologies Capital Investment Philosophy: Leveraging a Unique Network
A central tenet of Dell Technologies Capital’s investment strategy is its access to a unique network, a differentiator that Docter emphasizes without claiming superiority over other venture capital firms. This network stems from the extensive reach of Michael Dell and the broader Dell Technologies ecosystem. In the current AI-driven era, this access has become even more relevant, providing invaluable insights into the real-world needs and demands of major corporations and enterprise clients.
“We leverage that network in two ways,” Docter explained. “One is to get another perspective on what’s going on in the world and understand technology and how it’s being used. What do Fortune 500 companies want or need? What is Goldman Sachs asking for? We have that perspective.” This provides the firm with a granular understanding of market demands, technological adoption curves, and emerging pain points within large enterprises.
Conversely, this same network serves as a powerful resource for the firm’s portfolio companies. Dell Technologies Capital can strategically connect its backed startups with potential customers, partners, and industry influencers, thereby accelerating their growth and market penetration. “If you look at the other side of the coin, those are also the areas where Dell Technologies Capital can best help our portfolio companies,” Docter stated. “We have this perspective and this network that are really valuable. We can use those to the benefit of our portfolio companies, and that defines our investment philosophy.”
This approach echoes Warren Buffett’s timeless advice, “Invest in what you know.” Docter reinterprets this for the venture capital context: “The way I look at it is that we’re trying to invest in what we know because of who we are, our technical background and our unique network. But if I turn that over, that’s also where we can help. Invest in what you know, but also in what you can help with.” This dual focus—investing in areas where the firm possesses deep expertise and can actively contribute—underpins its investment decisions.
Navigating the Deep-Tech Frontier: Identifying and Sustaining Innovation
The challenge of investing in deep-tech companies often lies in their long development cycles and the inherent uncertainty of market adoption. Founders may possess groundbreaking technology with immense future potential, but the market may not be ready for widespread adoption for years, even decades. Docter addressed this two-pronged challenge: identifying the right founders and ensuring their companies have the longevity to reach their full potential.
Identifying Enduring Founders:
The core of any successful venture investment, Docter stressed, remains the people. “First and foremost, you’re really betting on the people. This is a people business,” he asserted. While technical prowess is crucial, it’s not the sole determinant of success. Emotional intelligence (EQ) plays a significant role. Dell Technologies Capital’s team excels at quickly assessing a founder’s capability, including their agility, their willingness to admit mistakes, and their openness to diverse perspectives. “It’s not purely about the technical capability of the founders. There’s definitely an EQ part of the equation, which I think our team is really good at,” Docter noted. He believes that this qualitative assessment of a founder’s character and adaptability is often more critical than their raw IQ, particularly in the fast-evolving tech landscape.
Sustaining Long-Term Vision:
The second, more formidable challenge is supporting companies with development timelines that span five, ten, or even twenty years. “The answer to the second question is even harder,” Docter admitted. Sustaining such ventures requires a multi-faceted strategy. Preventing premature failure is paramount, and Docter highlighted that “you have to make sure you don’t overspend, because overspending can really kill a startup.”
Equally vital is the establishment of robust co-investor partnerships. Docter views Dell Technologies Capital as an integral part of the broader venture capital ecosystem, actively seeking collaborative relationships. “We feel like we are part of a venture capital ecosystem, and we always strive to partner and play nicely with others,” he said, echoing Michael Dell’s sentiment, “Play nice but win.” The long-term success of deep-tech companies necessitates a supportive consortium of investors capable of providing sustained funding over extended periods. “It takes a village for these things to work, so it’s important to have the right constituents and partners around the table who can continue to fund the company for years and years,” Docter emphasized.
First-Mover Advantage in a Dynamic Market
The traditional venture capital playbook often places significant emphasis on first-mover advantage. However, the emergence of new technological paradigms, such as generative AI, has led to discussions about the potential of "sleeping giants"—companies that, while not the first to market, possess foundational architecture that allows them to capitalize on subsequent catalytic events. Docter offered a nuanced perspective on the enduring value of being first to market.
He distinguished between two primary market strategies: category creation and category disruption. “Category creation” involves introducing entirely new business or software product categories that do not yet exist. In these instances, the first mover faces the considerable challenge of educating the market, a process that is capital-intensive and requires extensive effort. “A lot of times, first-mover advantage isn’t an advantage there. Category creation is often where the second, third or fourth company hasn’t had to spend all the effort. They can piggyback off the heavy lifting the first mover had to do,” Docter explained.
Conversely, in “category disruption,” where a company aims to revolutionize an existing, large market with a superior offering (faster, cheaper, or more effective), being first can indeed confer a significant advantage. “But in cases of category disruption, I think there’s value in first-mover advantage,” he stated. This suggests that the strategic context of a startup’s market entry—whether it’s forging new ground or improving upon existing solutions—dictates the true benefit of being an early entrant.
AI’s Impact on SaaS: Evolution, Not Extinction
The rapid advancements in AI have ignited a debate about the future of the SaaS model, with some predicting the obsolescence of traditional SaaS companies. Docter believes this panic is largely overhyped, acknowledging AI’s disruptive influence while maintaining that SaaS is poised for transformation rather than demise.
“AI is disruptive to the SaaS world, without a doubt,” Docter conceded. He elaborated that AI will fundamentally alter how software is developed, consumed, and, crucially, priced. The prevailing per-seat pricing model, he contends, is becoming outdated and will likely transition to consumption- or outcome-based pricing structures.
However, Docter firmly believes that SaaS companies with astute leadership will adapt and thrive. “I fundamentally don’t believe all SaaS companies are going to die because of this,” he stated. “I believe the SaaS companies with smart, effective management will look at what AI can do for their businesses, which most already are. They’re going to adopt it, embrace it, and transform their companies using it. The ones that do will come out the other side as successful companies. They’re not going to go away.”
These transformed SaaS entities will leverage inherent advantages such as established brand recognition and customer incumbency. Giants like Salesforce, Intuit, and Oracle, for instance, benefit from well-known brands and long-standing customer relationships. If these companies successfully integrate AI into their offerings and business models, they are well-positioned to remain market leaders. Docter drew a parallel to historical technological and industrial revolutions, where adaptation and agility at scale have always been the hallmarks of successful enterprises, while others falter. “It’s always the case that there are a few with good leadership and management who are nimble and agile, even at scale, and they are successful. Others aren’t.”
Go-to-Market Strategies in the AI Era: The Primacy of Distribution
As early-stage founders navigate the shift from user-centric to outcome-centric pricing models, their go-to-market strategies become critically important for attracting investor confidence. Docter identified distribution as a paramount concern for early-stage AI startups.
“One of the biggest questions we ask early-stage AI founders is: ‘What is your distribution strategy?’ That basically means: How are you going to go to market or get distribution for your product?” he emphasized. In a market increasingly saturated with innovative technologies, the ability to effectively reach and serve customers is a key differentiator. “The winners are almost certainly going to be the people who figure out distribution first, best or fastest.”
Docter sees a significant opportunity for synergy between established SaaS companies and emerging AI startups, particularly through acquisition. He noted that some SaaS companies may struggle to transform organically and will require inorganic strategies, such as acquiring innovative AI solutions. For startups, partnering with incumbents provides immediate access to distribution channels that would be exceedingly difficult to build independently. This creates a mutually beneficial dynamic: SaaS companies can acquire critical technology, and startups gain vital market access. “I think there is a recipe here for SaaS companies to be in acquisition mode for the next six, 12, 18, or 24 months to help transform their companies and make the curve,” Docter suggested.
Navigating Market Volatility: Dell Technologies Capital’s Exit Momentum
Despite a broader venture liquidity drought, Dell Technologies Capital achieved remarkable exit momentum in late 2025 with significant liquidity events for companies like Netskope, Rivos, and SingleStore. Docter attributes this success not to market timing, but to a consistent focus on backing exceptional founders with deeply technical visions.
“I’d love to say we saw it all coming, but the reality is we can’t time the market. It just doesn’t work that way,” Docter stated. “But we feel lucky that things are lining up the way they have.” He highlighted that many of these successful exits, such as Netskope and SingleStore, represented companies that had been diligently building their products and businesses for over a decade before the market fully recognized their value.
The Rivos exit, occurring in under five years, represented a different trajectory. The founders had anticipated a significant shift in computing driven by AI workloads placing pressure on data center infrastructure, a foresight that proved accurate. This rapid success underscores the importance of strategic foresight and alignment with emerging technological trends. Docter reiterated Dell Technologies Capital’s commitment to a consistent investment philosophy: “We really try not to over-rotate on timing and instead stay consistent in who we back and how we invest.”
Evidence of Durable AI Revenue: Beyond Experimental Hype
For startups seeking Series A or B funding, demonstrating the stickiness of their AI revenue is paramount, especially when distinguishing it from experimental or temporary adoption. Docter stressed the importance of evaluating whether revenue originates from an “innovation pilot budget” or a “core engineering production budget.”
The crucial question for Series A and B investments today is: “Is their revenue durable?” he posed. Beyond the shift away from per-seat SaaS pricing, Docter observes a trend towards what he terms “re-occurring” revenue—revenue derived from ongoing projects rather than multiyear contracts. While not a formal term, it signifies customers engaging repeatedly with a company’s services, even without long-term commitments.
“My suggestion to startups looking to raise substantial rounds is to show how customers engage and keep coming back for more,” Docter advised. He cited an example: a startup that can demonstrate a series of deals with a client like Anthropic—an initial contract in October, a second in January, and a third by March—provides powerful evidence of sustained customer value and recurring engagement. This consistent re-engagement, rather than just initial pilot adoption, signifies a more robust and durable revenue stream, crucial for investor confidence in the current market.
Leveraging Corporate Venture Capital: A Call for Proactive Engagement
Docter encourages founders, regardless of their investor’s type—be it traditional institutional VC or corporate VC—to actively seek support. He firmly believes that the investor type is secondary to the founder’s willingness to engage and ask for help.
“The answer really is that the investor type is irrelevant,” Docter stated. “The one thing founders should universally do with every investor on their cap table is ask for more help. ‘You don’t get what you don’t ask for.’” He observes that many founders, particularly those new to the startup world, are hesitant to request assistance. Docter urges them to overcome this reticence. “Don’t be. Play to your investors’ strengths and ask them for the help they can deliver. Whether it’s management advice, introductions to decision makers at Fortune 500 companies, or access to channel sales. Ask!” This proactive approach to leveraging the diverse expertise and networks of their investors is essential for navigating the complexities of building and scaling a company, especially in today’s rapidly shifting market.
