Community intelligence
Attach address, business and borrower context to the application and evaluate configured target-market and community indicators using authoritative data.
Ranqx already turns accounting, banking and credit data into hundreds of standardized data points for lenders. Now an AI intelligence layer sits across Originate, Underwrite, Monitor and Grow — turning that data into judgment a lender can act on in minutes.
Revenue has grown steadily over 24 months, up 14% year-over-year, with operating margins holding stable. Projected cash flow supports a facility below the full amount requested.
The AI weighed projected cash-flow volatility against the requested amount and traced the gap back to three inputs: receivable aging, seasonal revenue variance, and current cash runway. Every recommendation links back to the underlying financial data it was drawn from.
Ranqx's configurable policy and scoring engine stays the authoritative layer for every credit decision. AI adds intelligence on top of it — and an explanation underneath it — without ever making a lending decision unsupervised.
Accounting, banking, credit and payments data, aggregated in real time.
Financial ratios, cash-flow modeling, scoring and predictive signals.
LLM reasoning, machine learning and anomaly detection applied to the data.
Your credit policy, regulatory rules and risk appetite, unchanged.
Approve, decline or refer — the same engine you configure today.
A plain-language answer to "why" for every decision, every time.
Prioritized by customer value, differentiation and how quickly they can ship — from a virtual credit analyst on every application to a portfolio-wide early warning system.
Turns raw financial data into a readable risk narrative, with every conclusion traceable back to its source.
Replaces static forms with a guided conversation that adapts its questions to the loan being requested.
Layers pattern detection — seasonality, margin drift, unusual deposits — around your existing policy engine.
Flags emerging borrower deterioration months before a covenant breach, with a recommended next action.
Recommends the right product for a business's actual need, not just the amount they asked for.
Watches existing borrowers for expansion signals and surfaces the right cross-sell at the right moment.
Cross-checks accounting, bank, credit and registry data for inconsistencies before they become losses.
Gives a Chief Lending Officer a single health score across the book, plus who to call today.
CDFI certification is not something a lending platform can create for a credit union. What Ranqx can do is make the lending side easier to operate and evidence: capture community context, structure borrower and loan data, apply explicit lender policy, preserve decision evidence and keep portfolio data ready for measurement.
Digitize the repeatable work while keeping credit policy explicit, exceptions visible and loan officers in control.
Attach address, business and borrower context to the application and evaluate configured target-market and community indicators using authoritative data.
Combine application, accounting, bank and credit data; apply lender-owned rules and scorecards; and route borderline cases for human review.
Retain source data, rule versions, triggered policy, exceptions, human overrides and final outcomes as part of the normal lending flow.
Reporting should not begin when an annual filing is due. Structure target-market, borrower, loan and decision data as lending happens so the credit union can measure the book continuously and resolve data gaps while they are still operational issues.
Application, accounting, bank, bureau, address and external reference data.
Configured target-market and community results with dataset and rule versions.
Policy result, triggered rules, exceptions, human review and final decision.
Final amounts, dates, product attributes and downstream identifiers.
Reporting fields, validation status, exceptions and export lineage.
Target-market mix, trends, concentrations and unresolved data-quality issues.
This is a practical screening tool, not a determination of CDFI eligibility or certification. Answers stay in your browser and are not submitted to Ranqx.
For a bank or credit union, "AI" isn’t enough on its own — every recommendation needs a defensible trail back to the data, the policy, and the human who reviewed it.
Small-business lending has too often relied on people-heavy, paper-based processes, manual data capture and disconnected systems. That creates unnecessary cost, inconsistent data and a slower path to funding. Ranqx was built around the belief that technology should provide a better way.
Ranqx gives business lenders a fully digital platform for loan origination, decisioning and ongoing monitoring, with a strong focus on the customer application experience. The platform helps lenders modernize how they serve small businesses while improving speed, decision quality and operating efficiency.

Dave began his career in marketing before founding an insights-led management and business growth consultancy serving SME owners across Australasia. He has advised companies and boards including ANZ Bank, PwC and BNZ Bank on customer-centric growth. As a co-founder of Ranqx, he brings entrepreneurial leadership, strategic problem-solving and a strong focus on growing the business.

Russell has led Ranqx’s technology, architecture and delivery since 2016, building its technology and delivery capabilities from the ground up. As CTO, he brings deep experience in solution and enterprise architecture, technology strategy, programme delivery and governance. His career spans banking, payments, insurance, consulting and the public sector, with a focus on turning complex business and regulatory requirements into secure, scalable systems that work in practice.

John is the former Treasurer and Chief Investment Officer of JPMorgan Chase and is currently Managing Partner at MoVi, a network that advises, incubates and invests in early-stage companies. During his JPMorgan career he held several senior leadership roles, including leading Investor Services for the Corporate & Investment Bank. Earlier in his career he was an Agency Mortgage Trader at Lehman Brothers.

Kenneth Buren is a FinTech and enterprise software executive with 30+ years of experience driving growth, digital transformation, and strategic partnerships across credit unions, community banks, and financial institutions. Ken has built relationships with multi-billion-dollar financial institutions, secured strategic partnerships, and consistently delivered enterprise growth. His expertise spans commercial lending, SaaS, AI, digital banking, and credit union technology.
Supporting the leadership team is a focused group of software engineers, strategists, data scientists, analysts, credit experts and industry veterans who have helped build and develop the Ranqx platform.
“Ranqx accelerated us to live in market faster and cheaper than we as a bank could have ourselves — they deeply understand how we want to deliver for our customers.”