Uptiq, the AI platform purpose-built for financial services, just closed a $25 million Series B round, and the framing of the announcement matters almost as much as the number itself. This wasn’t sold as another splashy bet on abstract AI potential, but as a very specific response to a fatigue that’s been building inside banks, credit unions, and fintech firms: too many pilots, too many proofs of concept, not enough systems that actually survive contact with regulation and real workflows. The round was led by Curql, with participation from Silverton Partners, 645 Ventures, Broadridge, Green Visor Capital, Live Oak Ventures, First Capital, Epic Ventures, Tau Ventures, and Evolution VC, a mix that quietly signals confidence from both financial institutions and enterprise software circles.
At the center of the pitch is a blunt idea: financial institutions don’t need more AI demos. Dave Tucker, a partner at Curql, put it plainly when he said that Uptiq combines production-ready financial AI with a platform builders can actually extend. That sentence lands because it cuts against the current hype cycle. Many banks want AI, but they’re stuck wrestling with regulatory complexity, legacy cores, and fragmented data environments that turn promising pilots into stalled experiments. Uptiq was designed specifically to absorb that friction rather than ignore it, delivering pre-packaged AI applications and digital workers that are already shaped for financial services instead of retrofitted later.
The platform’s reach spans commercial banking, credit unions, wealth management, and fintech, with AI agents handling things like commercial lending workflows, covenant monitoring, underwriting, advisor onboarding, compliance documentation, and ongoing client engagement. What stands out isn’t just the breadth, but the insistence that these systems deploy quickly and meet enterprise-grade compliance requirements from day one. That’s the quiet differentiator here: Uptiq isn’t positioning itself as a horizontal AI layer, but as infrastructure that assumes regulation, auditability, and permissions are non-negotiable, not optional add-ons.
Under the hood sits Qore, Uptiq’s AI orchestration platform, which pulls together document intelligence, financial reasoning, multi-agent workflows, and secure integrations into a single system. The promise is that developers can build financial AI applications using natural language prompts and pre-built financial capabilities, without stitching together brittle stacks or reinventing compliance layers every time. Qore handles document processing, permissions, audit trails, and integration with core banking systems out of the box, which is exactly the sort of unglamorous but essential plumbing that tends to separate production software from perpetual beta.
The Series B capital is earmarked to push Qore further into a self-serve platform for builders and developers, opening the door for fintech startups, internal bank teams, and independent developers to prototype and deploy financial AI in days rather than months. Uptiq says its platform is already trusted by more than 140 financial institutions, including Focus Financial Partners, Alpha Modus, Orion, Broadridge, Nano Banc, and TransPecos Banks, and has processed over $1 billion in transactions across lending and wealth workflows. Customers report up to 41 percent faster underwriting decisions, nearly 30 percent lower operational costs, and the ability to double loan application volume without adding headcount, numbers that feel deliberately practical rather than aspirational.
From an investor perspective, the tone is consistent. Morgan Flager of Silverton Partners described Uptiq as defining a new category of AI infrastructure aligned with the realities of regulated enterprises, while Nnamdi Okike of 645 Ventures emphasized the shift from experimentation to real production impact. There’s a shared subtext here that financial services AI doesn’t win by being the flashiest, but by being the most deployable at scale.
That philosophy traces back to the company’s founder and CEO, Snehal Fulzele, a fintech entrepreneur with more than a decade of experience building platforms for banks, credit unions, and fintech companies. His background in AI, data, and automation inside regulated environments shows up clearly in Uptiq’s positioning. The company isn’t chasing AI novelty for its own sake; it’s trying to normalize AI as infrastructure that financial institutions can trust, audit, and rely on day after day. In a market drowning in hype, that may be exactly why this round landed.
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