Industries · FinTech
Fintech App Development Company
Code & Trust builds compliance-first fintech applications — payment rail integrations, SOC 2 controls, fraud detection, and regulatory audit trails. Compliance is an architectural requirement, not an afterthought. Fixed-price builds. Full code ownership at handoff.
40–70%
Compliance cost reduction
94%+
Fraud detection accuracy
65%
Onboarding time reduction
SOC 2, PCI
Regulatory frameworks
Why does fintech require a specialist app development company?
Fintech app development requires compliance expertise that general software agencies lack. SOC 2 controls, PCI DSS scoping, BSA/AML transaction monitoring, and payment rail integration are not standard software development skills — and retrofitting compliance after launch costs 3–5x more than building it right the first time. Code & Trust designs compliance architecture before writing a line of code, so your fintech product passes audits rather than failing them.
Fintech compliance frameworks Code & Trust builds for
Code & Trust fintech apps are built for SOC 2 Type II, PCI DSS, BSA/AML transaction monitoring, GLBA data protection, and state money transmitter requirements where applicable. Compliance architecture is scoped in the design phase — the technology decisions you make in week 1 determine which regulatory requirements apply to your product and how expensive ongoing compliance will be.
SOC 2 Type II
Code & Trust designs fintech systems with SOC 2 controls from the ground up — logical access controls, change management audit trails, encryption standards, and continuous monitoring. Systems are built to pass a SOC 2 audit, not retrofitted after one fails.
PCI DSS
Payment card data handling follows PCI DSS scope-reduction best practices — tokenization instead of storing raw PANs, Stripe Radar or equivalent for transaction monitoring, and network segmentation that limits the compliance surface area.
BSA / AML
Bank Secrecy Act compliance for transaction monitoring, SAR filing workflows, customer due diligence (CDD) processes, and beneficial ownership verification. We build the data architecture that makes ongoing AML monitoring operationally sustainable.
GLBA
Gramm-Leach-Bliley Act data protection requirements for financial services companies holding consumer financial data — safeguards rule implementation, privacy notice workflows, and data handling controls.
State Money Transmitter
For fintechs moving money, we assess state money transmitter licensing requirements early in the design phase. The technology architecture affects which licenses you need — getting this wrong is expensive. We flag these decisions before code is written.
GDPR / CCPA
Data residency, consent management, right-to-deletion, and data subject request workflows for fintechs with US and European customers. Privacy controls are designed alongside the core data architecture, not added as a compliance layer later.
Payment rail integrations
Code & Trust has built production fintech integrations with Stripe, Plaid, Dwolla, Modern Treasury, Synapse, and direct ACH origination. Payment rail selection affects your regulatory posture, fee structure, and whether you need a money transmitter license — Code & Trust assesses these trade-offs in the design phase before any integration work begins.
Stripe
Payments, subscriptions, financial services (Stripe Treasury, Issuing)
Best for SaaS and marketplace payment flows
Plaid
Bank account data, ACH authorization, identity verification
Required for account-linked payment flows
Dwolla
ACH transfers, white-label bank payments
Preferred for B2B ACH at scale
Modern Treasury
Payment operations, reconciliation, ledgering
Enterprise payment orchestration
Synapse / Unit
Banking-as-a-service, virtual accounts, debit card issuance
For embedded banking products
Direct ACH
NACHA-compliant file origination for high-volume payroll/disbursements
Requires ODFI relationship
AI capabilities in fintech applications
Code & Trust fintech applications are built with AI-native features including ML-based fraud detection (94%+ accuracy), AI-assisted KYC and customer onboarding (65% faster), automated AML transaction monitoring (70% less manual review), and ECOA-compliant credit decisioning models with explainability outputs. Every AI decision generates a structured audit log for regulatory review.
Fraud Detection
94%+ detection accuracyLayered fraud detection combining rule-based velocity checks with ML anomaly scoring. Every decision generates an audit log with model version, input features, and rationale — required for regulatory explainability and dispute resolution.
Customer Onboarding Automation
65% faster onboardingAI-assisted KYC: document extraction from government-issued IDs, selfie-to-ID matching, sanctions screening, and PEP checks — orchestrated into a 3-minute onboarding flow that meets CDD requirements.
Compliance Monitoring
70% less manual reviewAutomated transaction monitoring against BSA/AML rules, threshold alert generation, and SAR workflow routing. Reduces compliance staff time on routine monitoring by 70% while improving coverage vs. manual review.
Credit Decisioning
ECOA-compliant outputsML-based underwriting models using bank statement data, cash flow patterns, and alternative data sources — with model explainability outputs required for adverse action notices under ECOA/Reg B.
Who hires Code & Trust for fintech app development?
Code & Trust fintech clients include early-stage fintech founders building regulated products, embedded finance teams at non-financial companies adding payment or lending features, and established financial services companies replacing legacy platforms. The common thread: they need compliance-first development from engineers who understand both the regulatory requirements and how to build efficiently within them.
Fintech startups building regulated products
You're building a product that moves money, stores financial data, or makes credit decisions. Getting the compliance architecture right the first time costs 40–60% less than retrofitting it after a failed audit or a regulator inquiry. We design for the audit from day one.
Embedded finance teams inside non-fintech companies
You're adding financial services features to a non-financial product — payments, lending, or cards. The regulatory requirements apply regardless of whether fintech is your core business. We scope the compliance surface area early so you don't over-engineer or under-engineer it.
Financial services companies replacing legacy software
Your current trading platform, loan origination system, or core banking application was built before modern APIs and AI capabilities existed. We rebuild it with a compliance-first architecture and AI-native features — using a parallel-run migration that keeps operations running throughout.
Fintech app development — common questions
Common questions from fintech buyers focus on compliance framework coverage, payment rail integration options, fraud detection architecture, timeline, and what fintech products Code & Trust has already built. Compliance architecture is designed before code is written — it is significantly cheaper to build right the first time than to retrofit after an audit.
What compliance frameworks does Code & Trust build fintech apps for?
Code & Trust builds fintech applications with SOC 2 Type II controls, PCI DSS requirements for payment card data, BSA/AML compliance logging for transaction monitoring, GLBA data protection requirements, and state money transmitter licensing requirements where applicable. Compliance architecture is a first-class design requirement, not a post-launch audit.
What payment rail integrations does Code & Trust support?
Code & Trust has built fintech integrations with Stripe (payments and financial services), Plaid (bank account data and ACH), Dwolla (ACH transfers), Synapse (banking-as-a-service), Modern Treasury (payment operations), and direct ACH origination via NACHA-compliant files. Payment rail selection depends on your regulatory posture, volume, and whether you need to hold funds.
How does Code & Trust handle fraud detection in fintech apps?
Code & Trust implements fraud detection as a layered system: rule-based checks for known fraud patterns (velocity limits, amount thresholds, geographic anomalies), ML-based anomaly scoring for novel patterns, and human review queues for high-value edge cases. All fraud decisions generate audit log entries with model version, input features, and decision rationale — required for regulatory explainability.
How long does a fintech app take to build?
Fintech app timelines at Code & Trust run 12–20 weeks for a production-ready application. The compliance architecture phase adds 2–3 weeks vs. non-regulated software — but it is significantly cheaper than retrofitting compliance after launch. Payment rail integration complexity, the number of user roles, and transaction volume requirements are the primary timeline drivers.
What fintech apps has Code & Trust built?
Code & Trust has built fintech applications including payment platforms, lending portals, investment dashboards, expense management tools, ACH origination systems, and financial data aggregation APIs. Client confidentiality prevents naming specific clients, but anonymized case studies covering the compliance architecture and payment integrations are available on request.
Related services and industry pages
Fintech app development connects to Code & Trust's AI readiness audit for teams exploring where AI creates ROI in their financial product, to MVP development for fintech founders who need a working product quickly, and to legacy modernization for financial services companies replacing outdated core systems. Healthcare AI covers the other major regulated-industry vertical.
Ready to build a compliance-first fintech product?
Start the conversation. We'll assess your regulatory requirements, scope the compliance architecture, recommend payment rail options, and give you a fixed-price estimate before any contract is signed. No commitment required.