We build the systems that financial services businesses run on: loan origination and servicing platforms, digital lending software, and AI-assisted underwriting support — engineered with compliance, security, and scale in mind from day one.
Lending and financial services platforms carry requirements most business software doesn't: audit trails on every decision, explainable risk logic, strict access control, and integrations into core banking, credit bureau, and KYC infrastructure that has to work correctly every single time.
We design for that from the architecture stage — not bolted on after launch — so the system you scale with is the same one that passed your compliance review.
Audit trails, access controls, and data retention built into the design.
Connected to Salesforce, HubSpot, or your existing customer systems.
Application intake, approvals, and disbursement without manual bottlenecks.
Risk signals and pre-scoring that speed up your credit team, not replace it.
Application intake, document collection, credit checks, and approval workflows in one system.
Disbursement, repayment schedules, collections workflows, and portfolio reporting.
Borrower-facing apps and portals for application, tracking, and repayment.
Alternative credit scoring, fraud/anomaly detection, and document intelligence.
Document verification and identity checks, including Singpass/Myinfo integration for Singapore-based businesses.
Portfolio health, regulatory reporting, and audit-ready data trails.
Laravel, Node.js/NestJS, Java Spring
PostgreSQL with encryption, immutable audit logs
eKYC providers, OCR, liveness detection APIs
Payment gateways, disbursement & collection rails
Credit scoring models, fraud detection, OpenAI/Claude for document AI
AWS/GCP with regional data residency options
RBAC, MFA, encryption at rest/in transit, pen testing
Core banking APIs, credit bureaus, CRM systems
Understand your product, workflow, and regulatory requirements. 2–3 weeks.
Data model, security architecture, and integration points scoped. 2–3 weeks.
Core workflow first, then AI and integrations layered in. 10–20 weeks.
Penetration testing and security review before go-live. 2–3 weeks.
Pilot with a limited portfolio before full-scale launch.
Model monitoring, compliance updates, and feature iteration.
Regulatory and integration complexity are the biggest cost drivers; we scope after technical discovery.
2–4 months · e.g. loan application intake & workflow.
4–8 months · origination, servicing, underwriting support, reporting.
8+ months · multi-product, multi-market, deep core system integration.
Representative project types, shown to illustrate scope and approach.
Digital application intake, document upload, automated pre-checks, and an approval workflow replacing a spreadsheet-and-email process.
A model that scores incoming applications on alternative data signals, surfacing the highest-priority cases for human underwriters first.
Borrower self-service for repayment schedules, plus an internal collections dashboard with automated reminder workflows.
Document capture, OCR extraction, and identity verification that cut onboarding time from days to minutes.
We design systems with compliance in mind from the architecture stage: audit trails, role-based access, data retention policies, and explainable decision logic for anything touching credit or risk decisions. We work alongside your compliance and legal teams and adapt to the specific regulatory framework your business operates under, we are a software engineering partner, not a licensed compliance advisor, and always recommend validating regulatory interpretation with your own counsel or compliance officer.
Yes. Fintech projects almost always involve integration, core banking APIs, credit bureau data feeds, payment rails, KYC/eKYC providers, and CRM systems like Salesforce or HubSpot. We scope these integrations during discovery since they're usually the most complex part of a lending or banking platform.
A loan origination system (LOS) manages the full lifecycle of a loan application, intake, document collection, credit assessment, approval workflow, and disbursement. If you're currently managing this via spreadsheets, email, or a generic CRM, a purpose-built LOS typically cuts processing time significantly and reduces manual errors.
We build AI-assisted underwriting support, models that surface risk signals, flag anomalies, and pre-score applications, that augments your credit team's decision-making rather than fully automating it, particularly early on. This keeps a human in the loop for the decisions that need judgment while speeding up the volume of applications your team can process.
We implement encryption at rest and in transit, role-based access control, comprehensive audit logging, and support deployment in your preferred cloud region for data residency. Security architecture is scoped as part of discovery based on your specific regulatory and risk requirements.
A focused module, such as a loan application intake and workflow system, typically runs $20,000-$50,000. A fuller lending or servicing platform with underwriting support, integrations, and reporting runs $50,000-$150,000+. Regulatory and integration complexity are the two biggest cost drivers, so we always scope after a technical discovery phase.
Tell us about your product and where the process breaks down today — we'll walk through what a purpose-built system could look like.
How can we help you today?
