US AI financial planning startup Quinn secures $11m seed funding
Quinn, a provider of AI-driven financial planning tools for banks and fintech firms headquartered in NYC, has raised US$11 million in seed funding.
The round was led by Viola Fintech, as reported by co-founder Royi Markowitz.
The platform integrates into fintech applications, providing users with personalized financial plans within 30 seconds after a brief onboarding process.
Key features include budgeting advice, savings strategies, debt management, retirement planning, and investment recommendations.
Quinn generates revenue through platform fees and per-user charges for completed onboarding.
The company aims to increase access to financial planning by embedding its tools into existing financial applications.
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The traditional financial advisory model restricts access to professional guidance for most Americans, with Quinn targeting this unmet need.
Financial advisors typically manage only about 96 clients each and spend just 8.8 hours weekly on client meetings, creating natural capacity limitations 1.
This structural constraint helps explain why the average minimum asset requirement to receive a financial plan has climbed to $662,000 according to Cerulli Associates, making professional financial guidance inaccessible to the majority of consumers.
The financial planning software market is responding to this opportunity, projected to grow from $3.7 billion in 2021 to $16.9 billion by 2031 at a 16.6% CAGR 2.
By embedding AI-driven planning directly into existing banking platforms, Quinn is part of a broader democratization trend that eliminates financial barriers and the human capacity constraints that have traditionally limited access.
Financial institutions that excel in customer experience grow 3.2 times faster than competitors, making innovations like Quinn’s 30-second personalized financial plans strategically valuable beyond just customer service 3.
Personalization has become a crucial retention factor, with 72% of customers rating it as highly important in their banking relationships 3.
This explains why Quinn emphasizes not just convenience but also “reshaping how financial institutions can engage with all their customers.” Personalized engagement drives measurable business outcomes.
The platform’s ability to deliver tailored upsell and cross-sell suggestions based on individual financial profiles directly addresses financial institutions’ need to increase customer lifetime value.
Quinn’s approach aligns with the industry-wide shift from product-centric to customer-centric models, where customers increasingly expect to design their own financial portfolios rather than accepting standardized offerings 4.
Quinn’s AI platform tackles a fundamental constraint in traditional financial advising: the human capacity bottleneck that limits both scale and accessibility.
Traditional advisors spend just 50% of their working hours on client-related activities, with the remainder consumed by business development, administration, and other non-advisory tasks 1.
This inefficiency has maintained the 1:100 advisor-to-client ratio mentioned in the article, creating an environment where most consumers remain underserved.
By embedding its solution directly into existing platforms, Quinn allows financial institutions to scale personalized financial guidance without adding headcount or compromising quality.
For registered investment advisors (RIAs), which now manage 27% of advisor-directed assets (up from 20% in 2011), solutions like Quinn enable serving more clients without sacrificing service quality or compliance standards 5.
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