New updates have been reported about Mine.
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Mine, a New York–based personal finance startup formerly known as Fizz, has raised a $14 million Series A round to scale its AI-driven money management platform for young adults and support a full rebrand. The round was led by 359 Capital with participation from Kleiner Perkins, FJ Labs, and existing backers Y Combinator and U.S. News & World Report, bringing total funding to $28 million. The company’s shift from a single credit-building product to a broader platform is anchored by its new AI personal finance agent, MoneyGPT, which uses proprietary data models to analyze individual spending patterns, income variability, and savings goals in real time. Co-founder Scott Smith said the new Mine brand reflects a mission to make money feel more personal and controllable for a generation facing student debt, gig-economy income, and rising living costs, while co-founder Carlo Kobe emphasized using data and AI to move beyond education into actionable financial decision support.
MoneyGPT is designed to deliver hyper-personalized, instant guidance on issues such as student loans, credit-building, cash flow management, and short- versus long-term trade-offs, positioning Mine as a technology-led financial wellness platform rather than a generic budgeting tool. The core offering combines the AI agent with the Mine Card, a credit-building card that surfaces safe-to-spend amounts in real time, and consolidated tracking of bank accounts, cards, brokerages, retirement accounts, and student loans in a single interface. Early internal metrics indicate that 75% of users report higher financial confidence and 70% feel more financially independent after using the platform, suggesting potential for strong engagement and stickiness in the target demographic. Lead investor 359 Capital cited Mine’s rapid adoption among young adults and the measurable impact of AI-driven personalization on financial literacy as key investment drivers. The new capital will allow Mine to expand product capabilities, deepen its AI models, and scale distribution to capture a larger share of the underserved young adult segment, where traditional financial tools have struggled to address variable income, side gigs, and shifting financial priorities.

