In early 2025, a significant shift in the venture capital landscape saw Vanessa Larco, a seasoned investor with a keen eye for disruptive technology, co-found Premise VC alongside Mercedes Bent. This new firm was established with a clear mandate: to champion early-stage technical founders committed to building robust, high-growth software, fundamentally challenging the traditional venture model by prioritizing founder needs at the earliest, most critical junctures.

Larco’s journey to establishing Premise VC is rooted in nearly eight years as a partner at New Enterprise Associates (NEA), one of the world’s most formidable venture capital firms. During her tenure at NEA, she was an influential figure, serving on the firm’s prestigious investment committee and spearheading investments across diverse sectors, including enterprise software, developer tools, and consumer technology. Her portfolio boasted notable companies like Evident, Kindred, Cleo, Greenlight, and Mejuri. Furthermore, her strategic insight as a board observer at Robinhood leading up to its landmark 2021 IPO underscored her ability to identify and nurture future market leaders.

Beyond her venture capital prowess, Larco brought a wealth of operational experience to the table. Known for her incisive product intuition, she cultivated a career as a product leader and founder prior to her pivot into venture capital. A computer science honors graduate from the Georgia Institute of Technology, she cut her teeth at Microsoft, contributing to iconic projects like Xbox and Kinect V1. Her journey continued through core product leadership roles at industry giants such as Twilio and Box. Crucially, Larco’s entrepreneurial spirit also led her to successfully build and sell an app development startup, a firsthand experience that deeply informs her empathy and guidance for the founders she now backs. This unique blend of technical expertise, product leadership, and entrepreneurial success positioned her to not only identify promising ventures but also to provide hands-on support in navigating market dynamics, achieving product-market fit, and scaling resilient teams.

The genesis of Premise VC was not a sudden impulse but a calculated response to evolving market dynamics and a palpable shift in founder preferences, particularly following the seismic events surrounding the Silicon Valley Bank (SVB) collapse. As Larco recounted, the motivation to launch a specialized pre-seed and seed fund stemmed from a clear recognition of a gap in the market. At multi-billion-dollar funds like NEA, deploying smaller checks, say $2 million, often falls outside the core strategic priority when the mandate is to deploy billions. While such funds might still participate, founders increasingly felt they were not a top priority.

This sentiment crystallized for Larco through a poignant conversation with a founder who articulated a desire for investors whose check size felt significant to their fund—a "check size hurts" philosophy. This ensures the founder remains a top priority, especially when challenges arise. This insight revealed a profound shift: early-stage founders, whether first-time or repeat entrepreneurs, are now actively seeking specialized firms where their initial funding rounds constitute a meaningful percentage of the fund’s capital. This strategic alignment ensures a higher degree of attention, support, and genuine partnership.

The SVB collapse served as an undeniable catalyst, exposing the stark realities of investor prioritization. When startups faced an existential threat, founders quickly learned which investors were truly committed. Those who could scrape together funds for payroll, irrespective of their portfolio size, revealed their true priorities. This crisis, largely unforeseen, led to an unintended but significant consequence: a rapid and widespread change in founder preferences. Word of mouth, amplified through founder communities and networks, rapidly disseminated stories of both exemplary support and perceived neglect, cementing the desire for dedicated, early-stage investors.

Recognizing this critical shift, Larco and Bent approached Premise VC not just as a fund, but as a startup itself, with its "product" being the fund. They embarked on a comprehensive "listening tour," engaging with their ideal customer profile (ICP)—early-stage founders. They meticulously gathered feedback on what founders truly valued, what support mechanisms worked, and what prevalent "best practices" were, in reality, superfluous. This founder-centric approach allowed Premise VC to double down on genuinely impactful services and shed offerings that founders found unhelpful, thereby designing a fund precisely tailored to the needs of its target audience. Premise VC exclusively invests at the pre-seed and seed stages, with check sizes ranging from $500,000 to $3 million, ensuring that their investment is always a significant and impactful commitment.

In a crowded and often noisy tech landscape, particularly with the current AI boom, distinguishing genuine potential from fleeting trends is a formidable challenge. Larco detailed Premise VC’s rigorous approach to due diligence, which emphasizes getting a deep understanding of the founder. This often involves multiple intensive conversations over several days, complemented by extensive reference and back-channel checks. This process is why most of their investments are concentrated in cities where they have established strong networks, such as San Francisco, New York, and Atlanta.

A cornerstone of Premise VC’s investment philosophy is the assessment of founder potential over the initial idea. Larco and Bent have identified seven core founder attributes, drawn from their experiences with the most successful entrepreneurs at their previous firms. They seek founders who demonstrate world-class capabilities in at least two of these seven attributes. As Larco noted, no founder embodies all seven, and some attributes can even seem contradictory. This holistic evaluation helps them gauge a founder’s ability to pivot, adapt, and ultimately discover the right market and product fit to build an iconic company, recognizing that the initial pitch rarely mirrors the eventual reality of a long-term venture. This rigorous process helps them filter out fair-weather founders attracted by industry tailwinds, whether it be crypto, Web3, or AI, ensuring they back individuals with unique insights and the tenacity to navigate inevitable challenges.

Discussing the transformative power of AI, Larco articulated her vision of AI as a "concierge service," moving from "do-it-yourself" tools to "do-it-for-me" agents. However, she emphasized that true innovation involves more than just a superficial "wrapper." While a wrapper can be effective if it dramatically reduces costs for a service with a high legacy price anchor (e.g., a $20,000 wedding planner now costing $1,000), long-term competitiveness requires a fundamental re-architecture of the cost structure or a significant enhancement in speed or ease of use.

For Larco, a truly competitive company in the AI era must deliver on at least two of three pillars: faster, cheaper, or easier. A marginal 10% improvement isn’t enough; a 50% discount or reducing a five-hour task to five minutes represents a compelling value proposition. The bar has risen to enabling users to achieve things they previously couldn’t or lacked the confidence to do, like effortlessly generating a cap table that would traditionally be a complex, time-consuming Excel task.

While not inherently against "wrappers," Larco’s hesitation lies in a founder’s understanding of the underlying mechanics. If a company scales and its wrapper becomes prohibitively expensive or its chosen model degrades, the founder must possess the technical acumen to optimize by splitting tasks across open-source, closed, or various proprietary models. Technical founders, she observes, obsessively fine-tune models for specific product features, ensuring optimal price and performance. Less technical founders, conversely, might rely on a single model for everything, potentially sacrificing efficiency and innovation. This distinction highlights a crucial test: can the team continue to innovate beyond the initial model choice, adapting to the rapidly evolving AI landscape? Larco draws a parallel to the early days of AWS, where critics questioned the defensibility of building on shared infrastructure. Yet, history proved that many great companies thrived on AWS, demonstrating that the underlying infrastructure doesn’t preclude the creation of immense value and defensible moats.

Among the seven core founder attributes, one that consistently surprises people, Larco revealed, is "urgently dissatisfied." These founders may appear disagreeable or overly focused on the objective, often holding incredibly high standards for themselves and their teams. Yet, those who have worked with them invariably attest to being pushed to achieve feats they once deemed impossible. This quality is distinct from ego; it’s about channeling relentless, hustler energy towards solving the right problems. The best founders Larco has backed exhibit this intense drive, a constant feeling that "everything should have been done yesterday."

In contrast to shifting attributes, Larco noted that the fundamental traits of a great founder remain largely universal. What has evolved is the intensity and pace required to demonstrate these attributes. Five years ago, shipping an exceptional product every six to twelve months was the benchmark. Today, that cadence has compressed to every three to four months. Decisive execution remains paramount, but the challenge now is assessing whether a founder can maintain this accelerated pace without compromising quality, making it a critical, albeit harder, signal to identify early on.

Larco also offers a contrarian perspective on current market trends. While a significant portion of the VC ecosystem has retreated from consumer tech to chase B2B enterprise AI, she views this as short-sighted. Consumer software has historically spawned some of the most impactful companies, and a temporary lull doesn’t justify abandoning the sector, especially as AI is rapidly transforming consumer behavior. Similarly, she remains active in Fintech, another area experiencing a pullback. For Larco, widespread retreat from a category often signals an emerging opportunity, especially when new tailwinds are on the horizon.

Regarding the evolving role of product management in the age of AI, Larco maintains that the core essence of a PM’s job remains unchanged: "consumer empathy." While AI may automate tedious tasks like writing tickets or tracking bugs, the fundamental responsibility of understanding user needs, defining success, and ensuring the product truly meets those needs will always require human insight. AI changes the "artifacts" produced—from specs to evaluations for AI agents—but the deep care for the end-user and the relentless pursuit of impactful solutions remain the domain of a human product leader.

In the discussion of moats for early-stage companies, Larco reiterates that workflow stickiness and data accumulation continue to be critical. The real challenge, she posits, is retaining customers when competitors can rapidly clone offerings. While early-stage companies might rely on "small, non-durable moats" initially, the long-term goal is to build defensibility through ingrained workflows, network effects, and integrations.

Addressing the technical founder bias, Larco openly admits her preference for founding teams with exceptional AI talent. These individuals, she notes, thrive at the cutting edge, staying abreast of breakthroughs, and are willing to radically adjust roadmaps to integrate new functionalities that enhance their products. While not an absolute rule, this bias stems from the rapid, dynamic nature of AI development, where deep technical understanding and adaptability are paramount.

Finally, on the transition from "do-it-yourself" to "do-it-for-me" agents, particularly when AI begins executing transactions or making decisions, Larco highlights that the biggest hurdle isn’t solely a trust problem. Instead, it’s the user’s inherent desire for oversight and personalization. Most human concierge services don’t operate entirely autonomously; they conduct research, offer personalized recommendations, and allow the client to make final decisions or request further refinement. This paradigm, she suggests, reflects where AI agents currently stand: users want the heavy lifting done for them, but they still want to be the ultimate decision-makers, reviewing and understanding the reasoning behind the agent’s proposals.

Vanessa Larco’s journey from a leading partner at a mega-fund to co-founding Premise VC underscores a profound understanding of the evolving founder-investor dynamic. By keenly observing shifts in market preferences, particularly catalyzed by events like the SVB collapse, and by rigorously defining what constitutes an exceptional early-stage founder and a truly disruptive AI solution, Larco and Premise VC are strategically positioned to identify and nurture the next generation of iconic companies. Their emphasis on founder attributes, a nuanced approach to AI innovation, and a contrarian view on underserved market segments define a refreshing and highly effective model for early-stage venture capital.