Lending platform
development.

Origination, underwriting, KYC/AML, decisioning, servicing, and collections — for retail and SME lenders.

Brief us See work
What we build

We build lending platforms end-to-end — origination, underwriting, KYC/AML, decisioning engines, servicing, and collections. Retail unsecured, SME, mortgage, and embedded lending use cases.

Problem · approach · outcome.

How we run this kind of work
01 · Problem

Lending has more moving parts than any other fintech product.

A lending platform is the intersection of origination UX, credit decisioning, KYC/AML, regulatory operations, servicing for a multi-year asset, and collections when things go wrong. Each component is a system in its own right.

02 · Approach

Build the full stack, modular.

A modular platform where origination, underwriting, decisioning, servicing, and collections are independent services with well-defined contracts. Decision engine pluggable. Bureau integration as commodity. Regulator-defensible logging across the whole flow.

03 · Outcome

A lending business that operates at scale.

A platform that can take a loan from application to settled, service it for years, and handle the failure cases without the team improvising on every edge.

What we ship.

6 modules · extensible
F-01

Origination

Application flows, document capture, KYC, employer verification, and bureau pulls — across web and mobile.

F-02

Underwriting & decisioning

Decision engine — rules-based, scorecard, or ML — with full audit trail and regulator-defensible reasoning.

F-03

KYC / AML

Identity verification, AML screening (Refinitiv, ComplyAdvantage), ongoing monitoring, and SAR workflows.

F-04

Loan servicing

Repayment schedules, statements, payment processing, modifications, and customer service portal.

F-05

Collections

Early collections, recovery workflows, agent allocation, settlement offers, and regulatory compliance.

F-06

Reporting

Portfolio reporting, regulatory reporting (HMDA, ECOA, equivalent in other jurisdictions), and audit support.

Tech stack.

Production-tested
Backend
Node.js.NET 8PythonPostgreSQL
Mobile
React NativeiOSAndroid
Decisioning
DroolsCamundain-houseML scoring
Bureau
ExperianEquifaxTransUnionPlaid

Lending
at scale?

Fintech · lending platforms
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Lending platform development FAQs.

Q-01Retail or SME lending?
Both. Retail unsecured, mortgage, auto, BNPL, and SME (working capital, term, invoice). Different products; same platform fundamentals.
Q-02Decision engine — rules or ML?
Often both — rules for regulator-defensible binary checks, ML for risk scoring within explicable bounds. We avoid black-box ML in regulated decisioning unless it can be explained.
Q-03Bureau integration?
Experian, Equifax, TransUnion, and in-region equivalents (CIBIL, CRIF). Plaid for cash-flow underwriting in the US.
Q-04Embedded lending?
Yes — BaaS-based embedded lending where the regulated entity is a partner. The application layer is what we build.
Q-05Regulator reporting?
HMDA, ECOA, fair-lending, and equivalents in other jurisdictions. Reports generated from the same audit trail used for decisioning.

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