SF Startup Funding Remains Strong for AI & Deep Tech
Despite market volatility, VCs deployed $2.4B into startups last week, with AI and space tech leading the charge. In San Francisco, Vor Systems raised a $3M pre-seed for its AI platform targeting renewable energy deals, signaling continued investor appetite for vertical AI applications.
The focus on "vertical AI," or artificial intelligence tailored for specific industries, is a significant trend. In 2025, startups focused on vertical applications reportedly attracted 53% of the deal volume and 30% of the capital deployed in the AI sector. This targeted approach allows for the development of AI that understands the specific data, workflows, and regulatory environments of sectors like healthcare, finance, and manufacturing. Vor Systems' focus on the renewable energy sector is timely, as global energy investment now surpasses $3 trillion annually. The demand for electricity is seeing a sustained increase for the first time in over four decades, driven by data centers and general electrification. AI is being used in the sector to improve energy forecasting, optimize smart grids, and even assist in selecting sites for new renewable energy projects. The company was co-founded by Victor Shao, an early executive at DoorDash, Guillaume Nozière, a repeat founder with experience in Applied AI research at Meta, and John Bragg, who previously sold a startup to CoStar. Their platform is designed to analyze large volumes of transaction documents for renewable energy deals, identifying key details and potential risks related to factors like land use and grid interconnection policies. The broader San Francisco AI funding landscape remains robust, attracting the majority of global AI investment. In 2025, AI companies globally raised $211 billion, an 85% increase from the previous year, with the Bay Area accounting for $126 billion of that total. This trend is part of a larger concentration of capital, where a few large deals can significantly impact the total funding numbers. For engineers at early-stage startups, the experience offers rapid learning and the opportunity to work on a wide range of tasks, as specialized teams for infrastructure or data science may not yet exist. This contrasts with big tech companies, which generally offer higher base salaries, more structured career paths, and greater stability but can be slower to adopt new technologies. The decision between an individual contributor (IC) and a management track is a common career crossroads in tech. The IC path focuses on deep technical expertise and problem-solving, while the management track is centered on team development, strategy, and removing obstacles for others. It's often viewed as a horizontal career change rather than a promotion, with distinct skills required for success in each role.
