NYC SaaS Acquirer Taps Chief AI Officer
New York-based Nuvini Group, which acquires B2B SaaS companies, has appointed board member Phoebe Wang as its first Chief AI Officer. The move signals a deeper commitment to embedding AI-driven growth and agentic workflows across its portfolio of companies, reinforcing the shift to AI-native SaaS in the NYC ecosystem.
Nuvini Group, though headquartered in New York, focuses its acquisition strategy on profitable B2B SaaS companies in Latin America. The firm targets companies with $1 million to $10 million in EBITDA and strong net revenue retention, aiming to build the "Constellation Software of Latin America" optimized for the AI era. The company's AI strategy, branded "NuviniAI," is central to its value creation plan. Nuvini deploys AI tools to improve operational efficiency, with a stated goal of reaching 30% EBITDA margins across its portfolio. Their NuviniAI Lab focuses on implementing agentic AI to boost developer productivity and systematically assesses the AI maturity of its acquired companies. Phoebe Wang's background includes experience as a cleantech venture capitalist, serving as an Investment Partner at the Amazon Climate Pledge Fund and previously as an Investment Director at Shell Ventures. Her venture capital career spans over a decade, during which she has invested more than $150 million in frontier technology startups. She holds an MBA from Rice University and is a Chartered Financial Analyst (CFA) charterholder. The emphasis on "agentic workflows" signals a move beyond simple automation to create autonomous AI systems that can plan, reason, and execute multi-step tasks. In a SaaS context, this means AI agents could handle everything from automated customer onboarding to dynamically allocating resources without human intervention, fundamentally changing the user interface and experience. This focus on AI talent is reflected across the NYC startup scene, where companies like Hebbia, an AI analysis platform for finance, and Kustomer, an AI-powered CRM, are actively hiring. The most in-demand roles are for Machine Learning Engineers, Data Scientists, and AI Product Managers. Venture capital firm Lux Capital highlights a "Great Talent Dividend" in NYC, with major tech players like OpenAI, Anthropic, and Google's DeepMind all growing their local AI teams. For engineers looking to build, the rise of agentic AI is creating new opportunities in vertical SaaS. Frameworks like LangChain are becoming crucial for developing agent-based applications. The trend is toward AI-native apps built from the ground up, designed to solve specific industry pain points in sectors like healthcare or construction, a market segment growing at a nearly 24% compound annual growth rate. Indie hackers and bootstrappers are leveraging this shift, with Y Combinator funding a new wave of NYC-based AI startups. Companies like Eden are building AI agents to run marketing for e-commerce brands, while Vortexify AI is creating AI workflows for supply chain operations, demonstrating how solo founders or small teams can tackle complex enterprise problems.
