Document AI trained on financial paper. Financial skills that already know the math. Integrations into the cores and loan systems your customers run.
// one call. extraction, math, and policy.
const file = await uptiq.agents.run({
agent: "credit-file",
documents: [taxReturn, rentRoll, pfs],
policy: "credit-policy-v4"
});
file.fields 97 extracted
file.dscr 1.24
file.citations every value sourced
file.exceptions 1 flagged
for review









































Uptiq's fintech software combines a suite of ready-to-deploy AI agents with QORE, an enterprise platform for building and orchestrating financial AI applications. Together, they help fintechs automate workflows across onboarding, underwriting, compliance, portfolio monitoring, and customer servicing, integrating with your existing systems and APIs so you can deploy AI in fintech without disrupting your current stack.
No engineering team required for most use cases. Uptiq's fintech software is designed so business, operations, product, and lending teams can start using pre-built AI agents directly, without a large engineering lift. For fintechs with more specialized requirements, QORE provides a low-code environment to configure, extend, and build custom AI applications without extensive development resources.
Yes. Uptiq's fintech agents / software is built to process the complex, unstructured documents fintech teams work with every day, bank statements, tax returns, financial statements, and supporting borrower documentation. It extracts, organizes, and analyzes that raw financial data into structured insights, helping accelerate underwriting, reduce manual review, and improve consistency across lending and risk workflows.
Every Uptiq workflow is built with governance and oversight in place, configurable approval checkpoints, audit trails, policy controls, and human review processes keep automation transparent and accountable. This lets fintech teams use AI to move faster while still documenting every decision and preserving the visibility needed for internal reviews and regulatory requirements.
AI in fintech is the use of artificial intelligence, including document processing, financial data extraction, and increasingly agentic AI, to automate financial workflows like onboarding, underwriting, compliance, and portfolio monitoring inside fintech products. Modern fintech software like Uptiq's provides these capabilities as pre-built AI agents and an API/low-code platform (QORE), so fintechs can add AI-driven financial workflows without building the underlying financial logic from scratch.
Fintech software is technology purpose-built for financial services, designed from the ground up around the data, workflows, and regulatory requirements specific to banking and lending, rather than general-purpose tools adapted after the fact.
Uptiq fits that definition directly. It comes with document AI already trained on financial paperwork, pre-built financial skills like spreading and DSCR calculations, and 100+ integrations into cores and loan systems, the pieces a fintech would otherwise need to build from scratch.
Building this in-house means more than a one-time engineering project. It means training models on financial documents, developing underwriting and spreading logic, building compliance and audit tooling to meet regulatory expectations, and then maintaining all of it as regulations and document formats continue to change, a multi-year commitment that doesn't end when the first version ships.
With Uptiq, that groundwork is already in place. Fintechs deploy Uptiq's agents through the API or the low-code QORE platform, going from API key to a first live agent in days rather than starting the build from zero.
The most common AI in fintech use cases are customer/borrower onboarding, underwriting and financial spreading, compliance and audit documentation, portfolio monitoring, and customer servicing. Uptiq's fintech software covers all five through pre-built agents, so fintechs can automate a single workflow or the full financial operations stack depending on their stage and priorities.
Yes. AI in fintech is designed to layer on top of existing infrastructure rather than replace it. Uptiq's fintech software connects through 100+ pre-built integrations to cores, loan origination systems, CRMs, and custodians that fintechs and their financial institution partners already run, plus a REST API and SDKs for custom integrations, so adopting AI doesn't mean re-architecting your stack.
Fintechs can go from an API key to a first live AI agent in days, not months, using Uptiq's pre-built agents, no full engineering build required for standard workflows. Teams with more specific needs can use the QORE low-code platform to configure or extend agents without a large development investment, which is why AI in fintech has become viable for lean product and ops teams, not just fintechs with dedicated AI engineering.