Wing Venture Capital

Wing Venture Capital is a Palo Alto-based early-stage venture firm founded in 2013 by Peter Wagner (a former Accel managing director with 14-plus years at the firm) and Gaurav Garg (an 11-year Sequoia Capital partner), with a thesis explicitly focused on the AI-first technology stack: companies built on data, powered by AI, and put to work as increasingly autonomous applications. Wing has built a sharp enterprise-software practice and has produced 21 billion-dollar-plus outcomes across the founders’ combined careers, including Cohesity, Gong, Snowflake, and Shape Security. While Wing is not a healthcare specialist, the firm’s AI-first thesis and enterprise software pattern matching translate naturally into healthcare AI, particularly for founders building agentic applications, AI-native infrastructure, and data-driven enterprise tools for clinical and operational workflows.

The partnership is led by founders Peter Wagner and Gaurav Garg, with Tanay Jaipuria as a partner focused on AI-powered applications and data and AI infrastructure, and a broader bench of partners and principals across enterprise software, infrastructure, and applied AI. Ansu Satpathy, an advisory venture partner, focuses specifically on investments at the interface of data, computation, and disease therapeutics, giving Wing a credible bridge into computational drug discovery and biotech-adjacent AI deals. The firm operates with a small partnership and a relatively concentrated portfolio, prizing depth of engagement and pattern matching across the AI-first stack rather than volume of deals.

Wing’s portfolio is concentrated in enterprise software, AI infrastructure, applied AI, and data tools, with a small but growing slice of healthcare AI applications. Past and present Wing portfolio companies include Cohesity (data management), Gong (revenue intelligence), Snowflake (cloud data platform), Shape Security (acquired by F5), Moogsoft, Palerra, Juvo, and Instart Logic. The firm’s healthcare-relevant exposure typically sits at the intersection of horizontal AI infrastructure that serves healthcare verticals and AI-native applications targeting clinical and operational workflows.

Wing typically writes initial checks of $3 million to $15 million at seed and Series A, with the capacity to lead at both stages and to follow on into Series B. The firm prefers to lead at Series A and is comfortable writing the first institutional check at seed. Geographic scope is United States with a strong Bay Area concentration and selective international deals, particularly in cross-border AI infrastructure.

Founders who should approach Wing are technical AI and machine learning founders building healthcare AI applications, agentic clinical and operational tools, AI-native infrastructure for healthcare and life sciences, and computational biology platforms with a clear technical wedge. The firm is particularly well suited for founders coming out of enterprise software, AI infrastructure, or technical research backgrounds who want a venture partner with deep enterprise software pattern matching. Founders building therapeutics, devices, biopharma platforms without a clear AI infrastructure thesis, or pure healthcare services should pitch healthcare specialists instead. Wing is decisively an AI-first enterprise firm; its bar is technical rigor and enterprise commercial execution, not clinical or regulatory specialization.

Entry path runs through warm introductions from portfolio CEOs, the broader Wing alumni network, peer enterprise venture firms, and the Bay Area and AI research communities. Wagner is publicly active at major enterprise software and AI conferences, and the firm runs an editorial presence and content program that signals current thesis priorities. Cold inbound through the website is read and the firm has a relatively open posture toward direct outreach for technical AI founders.

In a pitch, lead with the technical wedge, the AI thesis, the data, and the enterprise commercial wedge. Wing partners think in terms of defensible AI applications, data network effects, and enterprise sales motion, and they want to see why your company has a step-function advantage rather than an incremental one. They will probe your model architecture, your data strategy, your unit economics, and your enterprise sales motion in detail. The firm’s added value is most powerful when founders use the deep Wing enterprise network: senior enterprise software operators and CEOs, peer AI infrastructure companies in the portfolio, and the firm’s pattern matching across enterprise GTM and product-led growth. Founders building AI-first healthcare applications and infrastructure with strong enterprise commercial execution will find Wing one of the more technically rigorous and enterprise-savvy tier-one early-stage partners in the AI healthcare category.