Kleiner Perkins vs SoftBank Vision Fund

A side-by-side comparison of two AI investors: Kleiner Perkins (Power Score 81/100) and SoftBank Vision Fund (Power Score 82/100), both ranked among the most active firms tracked in this category.

Kleiner PerkinsSoftBank Vision Fund
Power Score™ 81/100 82/100
Assets Managed $21B+ $175B (platform assets, 2022)
Founded 1972 2017
Headquarters Menlo Park, CA London, UK
Sectors Enterprise Software, Consumer Internet, Healthcare, AI, Deep Tech, Industrial Tech, Fintech AI, Enterprise Software, Consumer Internet, Logistics, Cybersecurity, Climate, Developer Tools, Deep Tech

Kleiner Perkins

Kleiner Perkins was founded in 1972 by Eugene Kleiner, a Fairchild Semiconductor co-founder, and Tom Perkins, a former Hewlett-Packard executive with degrees from MIT and Harvard. Joined shortly after by Frank Caufield and Brook Byers, the firm built its name on backing category-defining technology companies from their earliest days, including Genentech, Sun Microsystems, Netscape, Amazon, and Google. The firm's 1999 investment in Google alongside Sequoia Capital - writing what was then its largest check ever - remains one of the most celebrated bets in venture capital history.

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SoftBank Vision Fund

SoftBank Vision Fund remains the clearest example of venture capital run at platform scale, having launched Vision Fund 1 at $100 billion in 2017. Its current messaging has become far more coherent than the early 'invest in everything transformed by AI' caricature: the firm is now organized around a full-stack AI ecosystem of hardware, infrastructure, and applications, with CEO Alex Clavel's leadership stressing discipline, monetization, and cash-runway quality across the portfolio. That shift matters because it shows the platform institutionalizing what was previously perceived as founder-led opportunism under Masayoshi Son, while still concentrating unusually large checks into category leaders - DoorDash's $71.2 billion IPO valuation stands as SVF1's best fully-exited outcome, with a $7.3 billion gain.

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