The technology industry is buzzing about the potential of generative AI, with investors and Big Tech both placing bets on its application across infrastructure and cybersecurity. At Y Combinator’s Winder 2023 Demo Day, the trend was evident with AI-related startups representing more than one-third of the cohort, largely due to increased interest in dev tools, which even received additional funding just weeks post-Demo Day. It was this internet of overlapping technologies that prompted Israeli VC Rona Segev to consider the potential applications of generative AI and its capabilities in terms of system management and exploration.
Rona Segev is the co-founder and managing partner of VC firm TLV Partners and has devoted considerable attention to AI and its capacity to produce innovative outcomes. Her portfolio contains almost half of all AI-based startups, further illustrating her admiration for the technology.
While there has been a lot of apprehension about the possibilities of generative AI, Segev is confident that it could revolutionize the way companies approach system exploration and infrastructure management. She believes that by bringing these two elements together, an unparalleled opportunity can be made available to the enterprise industry and potential investors, which would be a “pot of gold at the intersection of DevOps and generative AI”.
TLV Partners is a VC firm specialized in early-stage investments in the Israeli tech industry. The company’s mission is to support the local ecosystem through financial and operational backing, in addition to helping founders craft a competitive value proposition. Since 2016, TLV Partners has invested in more than 25 startups across Israel, Europe, and the US. Rona Segev personally has been a key player in the startup world for the last 15 years and has experience working in both the business and tech fields. Before her current role at the VC firm, Segev was the Entrepreneur in Residence and a Partner at Genesis Partners, also in Israel. Her current focus is centered around finding groundbreaking solutions for industry problems such as cybersecurity and near-real- time system management that could be unlocked through generative AI.
