Uptiq - an AI agent simplifying banking product selection for institutions

I still remember watching users freeze on the choose your account screen. Not because the UI was bad. Because banking products are confusing, and nobody wants to make an expensive mistake.

Fintech of my choice: Uptiq

Uptiq is based in Austin, and they are building something I have wanted for years in financial services. An AI agent that does not just chat. It actually helps a bank execute work end-to-end.

The company was founded in 2022 by Snehal Fulzele. Their platform is called Qore, and they position it as an agentic AI layer built specifically for banks and credit unions. Think customer conversations, product selection, and workflow execution, all handled by agents that plug into the institution’s systems.

What caught my eye is the product selection angle. I would trust an agent to help me pick the right banking product first, because that is where most people lose time and confidence. I know companies that were doing “guided product choice” long before the words AI agent existed. Now the same idea becomes much more powerful because the agent can continue дальше, not only recommend, but also complete the process.

Uptiq says they already serve 140+ financial institutions. And they just raised a $25M Series B led by Curql, with Broadridge, Green Visor Capital, Silverton Partners, Live Oak Ventures, and others. The plan is clear. Make Qore more self-service, then expand beyond FI deployments into SMB and consumer use cases.

The business model is also grounded. SaaS licensing plus usage-based fees. If you can become the “agent layer” inside a mid-sized bank or credit union, you are not selling a demo. You are selling a measurable reduction in calls, handle time, and manual back-office work, with a new way to move customers to the right product.

Bigger picture, this is what I see across fintech now. AI is turning from a feature into a new set of rails. The winners will be the teams that package it in a way that is safe, auditable, and deployable for institutions that cannot afford an army of engineers.

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I would genuinely try this kind of agent, starting from product choice and onboarding, and only then moving deeper into servicing. Trust is earned step by step in banking.

Which banking process would you let an AI agent handle first: product selection, onboarding, support, disputes, or something else?

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