Loading organizations...
Loading organizations...
Parkway Venture Capital operates as a venture capital firm that strategically invests in early to growth-stage deep technology companies. The firm focuses on identifying and supporting innovative enterprises across various sectors, including artificial intelligence, healthcare, energy, and robotics. Parkway typically backs companies developing foundational technologies with robust and defensible intellectual property, aiming to foster advancements within these critical industries.
The firm was founded in 2019 by Jesse Coors-Blankenship and Gregg Hill. Their collaboration stemmed from a shared recognition of the transformative potential within emerging deep technologies and a belief in the necessity of providing dedicated support to pioneering founders in these complex fields. Their combined experience informs Parkway's approach to identifying and nurturing companies at the forefront of technological innovation.
Parkway Venture Capital primarily serves founders leading promising deep tech ventures who seek more than just capital. The firm's vision centers on empowering these entrepreneurs, committing to build enduring relationships and provide substantial support to accelerate their growth. Parkway aims to propel the development of technologies that will shape future global landscapes, fostering companies that address significant challenges with inventive solutions.
Key people at Parkway VC.
Key people at Parkway VC.
# Parkway VC: Backing Disruptive Deep Tech
Parkway VC is a New York-based venture capital firm founded in 2019 that focuses on early-stage and expansion-stage investments in fundamentally disruptive technologies[2]. The firm operates with a mission to accelerate founders building the future through what it describes as "uncommon conviction"—positioning itself as a partner that treats each founder as a priority rather than one of many portfolio companies[3].
The firm's investment philosophy centers on backing companies developing transformative technologies across artificial intelligence, quantum computing, advanced simulation, complex engineering, and ubiquitous data infrastructure[3]. Rather than pursuing broad-based venture investing, Parkway deliberately concentrates its capital on deep-tech sectors where technical expertise and operational support can meaningfully accelerate commercialization. This focused approach reflects the founders' own technical backgrounds and their belief that the most important technological breakthroughs require both capital and hands-on mentorship from investors who understand the underlying science and engineering challenges.
Parkway VC was established in 2019 by Jesse Coors-Blankenship and Gregg Hill, two entrepreneurs with complementary skill sets[2]. Coors-Blankenship brings deep technical expertise, having founded and served as CEO of Frustum Inc., where he developed patented artificial intelligence software focused on generative design and simulation technologies[4]. His background as a founder and inventor gives him firsthand experience navigating the product-market fit challenges that early-stage deep-tech companies face.
Gregg Hill, the co-founder and general partner, brings extensive investment experience and operational acumen. Over his career, Hill has invested more than $1 billion across venture capital and real estate investments while building a reputation as a serial entrepreneur and active investor[4]. His collaborative, forward-thinking approach to founder relationships complements Coors-Blankenship's technical depth, creating a partnership where founders gain access to both strategic capital and technical mentorship.
The firm expanded its team to include Nekeshia Woods as Managing Partner and Brian Hoyt as Chief Operating Officer, establishing a New York headquarters with an additional office in Boston[2][5]. This structure reflects Parkway's ambition to build a serious institutional presence while maintaining the founder-friendly culture that defines its brand.
Technical Founder Leadership: Unlike many venture firms staffed primarily by career investors, Parkway's co-founders bring direct experience building and scaling deep-tech companies. Coors-Blankenship's background in AI and simulation technology means the firm can evaluate technical feasibility and competitive moats with genuine expertise rather than relying solely on market analysis[4].
Focused Sector Thesis: Rather than deploying capital across dozens of sectors, Parkway concentrates on five core areas—artificial intelligence, quantum technology, simulation, ubiquitous data, and complex engineering[3]. This specialization allows the firm to develop deep domain knowledge, build relevant networks, and provide targeted operational support that generalist firms cannot match.
Founder-Centric Approach: The firm explicitly positions itself against the "one of many" portfolio company experience, emphasizing aligned partnership and matched commitment[3]. This messaging resonates particularly well with founders of deep-tech companies, who often require patient capital and hands-on support through long commercialization cycles.
Portfolio Quality: Parkway's investments include Figure AI, which raised $675 million at a $2.6 billion valuation for its humanoid robotics platform, alongside companies like Sandbox AQ (AI and advanced computing), TAE (clean fusion energy), and Persefoni (AI-powered carbon measurement)[3]. These are not incremental software plays but rather companies attempting to solve fundamental scientific and engineering challenges.
Parkway operates at the intersection of two powerful trends reshaping venture capital: the maturation of AI as a foundational technology and the resurgence of deep-tech investing. For years, venture capital concentrated on software-as-a-service and consumer internet businesses with rapid scaling potential and clear unit economics. Deep-tech companies—those requiring significant R&D, hardware integration, or scientific breakthroughs—fell out of favor due to longer development cycles and higher capital requirements.
The emergence of large language models and generative AI has shifted this calculus. Suddenly, AI is no longer confined to specialized applications but has become a horizontal capability that can accelerate progress across physics, materials science, robotics, and energy. Parkway's timing is fortuitous: it entered the market precisely as institutional capital began flowing back into deep-tech sectors, and its founders' technical credibility positions it to attract the most ambitious founders in these spaces.
The firm also benefits from a broader recognition that venture capital's traditional playbook—rapid scaling, unit economics obsession, quick exits—does not apply to companies solving fundamental problems. Founders building quantum computers, fusion reactors, or humanoid robots need investors who understand that meaningful progress takes time and that technical breakthroughs often precede commercial traction. Parkway's positioning as a "VC designed for fundamentally disruptive technologies" directly addresses this market need[3].
Parkway VC represents a meaningful shift in how venture capital approaches deep-tech investing. By combining technical founder expertise with serious institutional capital and a founder-friendly partnership model, the firm has positioned itself to capture a disproportionate share of the most ambitious deep-tech founders. The success of portfolio companies like Figure AI—which achieved a multi-billion-dollar valuation in a sector that venture largely abandoned a decade ago—validates this thesis.
Looking forward, Parkway's influence will likely expand as AI continues to permeate every technical domain. The firm's ability to attract founders, deploy capital into companies with long development cycles, and provide meaningful technical guidance will become increasingly valuable as the venture ecosystem recognizes that the next generation of transformative companies will emerge from deep-tech sectors, not consumer software. The question is not whether Parkway will succeed, but whether the firm can scale its model without losing the founder-centric culture and technical rigor that define its early identity.
