Enterprise artificial intelligence (AI) is no longer a proof-of-concept experiment—it's moving into production at scale, and venture capital firms are fundamentally changing how they back AI startups to match this shift. Myriad Venture Partners, an early-stage venture capital firm focused on enterprise AI and B2B software, just expanded its Executive Advisory Board to include more than 30 C-suite leaders from Fortune 500 companies including Mastercard, Oracle, GSK, Meta, and Harley-Davidson. This expansion signals a broader trend: the most successful AI venture firms are now embedding corporate operators directly into their portfolio companies from day one, rather than waiting for startups to figure out enterprise needs on their own. Why Are VCs Putting Corporate Executives Inside Startups? The traditional venture capital model—invest in a promising team, let them build, then help them sell—doesn't work well for enterprise AI. Enterprise customers have complex, specific requirements. They need security, compliance, integration with existing systems, and proof that a product actually solves a real operational problem. By the time a startup discovers what enterprises actually need, months or years have passed and capital has been burned. Myriad's approach flips this. The firm's Executive Advisory Board members—including Greg Ulrich, Chief AI and Data Officer at Mastercard, and Dan Roth, Chief AI Scientist at Oracle—actively participate in sourcing deals, providing technical feedback, introducing startups to enterprise customers, and designing proof-of-concept (POC) engagements. This isn't a ceremonial advisory role. It's an operating model. "The executives joining us have led technology, go-to-market, and operations inside some of the world's largest enterprises," said Chris Fisher, Founder and Managing Partner of Myriad Venture Partners. "Their experience helps our founders build products that meet enterprise requirements from day one, while giving our corporate partners earlier visibility into the companies defining the future of enterprise AI and B2B software". The Numbers Show This Model Works Myriad's track record demonstrates measurable impact from embedding corporate operators into the venture process. Since inception, the firm's portfolio has generated: - Commercial Introductions: More than 900 connections between Myriad-backed startups and enterprise customers, creating direct pathways to revenue. - Proof-of-Concept Engagements: 70 POC projects that converted into 24 actual commercial contracts, showing that corporate introductions translate to real deals. - Enterprise Adoption: 119 Fortune 500 companies now using technology developed by Myriad-backed startups, indicating broad enterprise validation. - Capital Raised: Portfolio companies have raised $932 million since inception, including $223 million in 2025 alone, suggesting strong investor confidence in the model. These metrics matter because they show that the advisory board isn't just networking—it's directly enabling startups to move from early traction to enterprise scale. How This Model Differs From Traditional VC Traditional venture capital relies on pattern matching and founder pedigree. A VC sees a talented team, believes in the market opportunity, and funds them. Enterprise AI requires something different: deep domain expertise in how large organizations actually operate, what their technical constraints are, and how to navigate procurement and implementation. Myriad's advisory board includes leaders from financial services, healthcare, technology, and professional services—sectors where enterprise AI deployment is most complex. These executives have navigated the exact problems that Myriad's portfolio companies are trying to solve. When a startup building AI-powered patent analysis software (like Patlytics, a Myriad portfolio company recently featured by Business Insider as a potential unicorn) needs to understand how law firms actually draft and manage patents, having a Chief Legal Officer on the advisory board isn't a luxury—it's essential. What This Means for the Broader AI Startup Ecosystem The expansion of Myriad's advisory board reflects a larger shift in how venture capital is approaching enterprise AI. Across the industry, Q1 2026 has seen record-breaking momentum in AI infrastructure and institutional adoption. European AI infrastructure startups like Nscale raised a $2 billion Series C—the largest venture capital round in European history—while neurotechnology companies like Science Corp raised $230 million, signaling that AI-enabled medical devices are now a legitimate growth-stage category. Notably, government capital is co-investing alongside venture for the first time at scale. The UK National Wealth Fund anchored Oxa's industrial autonomy round, and Sierra Space won $1.5 billion in US defense contracts before raising a $550 million Series C. This structural shift—where national governments back AI infrastructure as strategic assets—means that enterprise adoption isn't just a market opportunity; it's becoming a matter of national priority. Goldman Sachs Alternatives recently backed both Grow Therapy (mental health AI) and Fieldguide (audit AI) in the same month, confirming that regulated professional services AI is now an institutional investment category. This wouldn't be possible without deep enterprise expertise embedded in the venture process. Real Examples: How Advisory Boards Drive Outcomes Two recent Myriad investments illustrate how the advisory board model translates into tangible results. CVector, which builds industrial AI optimization software for manufacturing and plant production, raised a $5 million seed round. Having manufacturing and operations leaders on Myriad's advisory board meant the startup could validate its product roadmap against real factory floor constraints before building. OpenHands, which raised an $18.8 million Series A for enterprise-secure cloud agent platforms, benefited from advisors who understand governance and compliance requirements in large organizations—critical factors that determine whether enterprises will actually deploy the software. These aren't isolated wins. The 24 commercial contracts that emerged from 70 POC engagements show that the advisory board model is systematically improving the odds that startups will find product-market fit with enterprises. What This Signals About the Future of Enterprise AI Funding The shift toward embedded corporate operators in venture capital suggests that the era of AI startups succeeding on hype and technical novelty alone is ending. Enterprise customers are moving past pilots and proof-of-concepts. They're asking harder questions: Does this actually reduce costs? Does it integrate with our existing systems? Can we trust the vendor? Will it scale? These questions require expertise that traditional venture capitalists don't always have. Venture firms that can answer these questions—by embedding the people who've asked them inside large enterprises—will have a structural advantage in backing the next generation of AI unicorns. Myriad's expansion of its advisory board to more than 30 Fortune 500 executives isn't just a hiring announcement. It's a signal that enterprise AI has matured from a speculative bet into a disciplined, operator-driven category where success is measurable and repeatable.
