Industries · FinTech
Fintech App Development Company
We build fintech applications where compliance is a design input, not a launch task: payment rail integrations, ledgers and reconciliation, fraud controls and audit trails, decided before the first line of code. Fixed-price builds. Full code ownership at handoff.
Why does fintech require a specialist app development company?
Fintech software has to satisfy people who never use it: the bank partner, the card networks, the auditor and the regulator. Their requirements decide which rail you can use, whether you can hold customer funds, and what your system must be able to prove after the fact. Treated as launch tasks, those requirements surface late, when changing course is expensive; we design for them in the first weeks, when it is still cheap.
Fintech compliance frameworks Code & Trust builds for
We build fintech systems to fit the frameworks your product falls under: SOC 2 and PCI DSS for most, BSA/AML obligations when you move money, GLBA when you hold consumer financial data, and state money transmitter questions when funds pass through you. Which ones apply depends on decisions made in the design phase, so that is where we raise them, with your compliance team and counsel deciding what applies.
SOC 2 Type II
We design with the controls a SOC 2 examination looks at: logical access control, change management with an audit trail, encryption, and monitoring. The report itself comes from your auditor; our job is a system whose controls are real and whose evidence is easy to produce.
PCI DSS
Card data handling is designed to keep your PCI scope small: tokenization instead of storing raw card numbers, and network segmentation that limits how much of the system handles card data.
BSA / AML
Data and workflows for your BSA/AML program: transaction monitoring, SAR review routing, customer due diligence and beneficial ownership records. Your compliance officer owns the program; we build the system that makes running it sustainable.
GLBA
Controls for companies holding consumer financial data: support for your Safeguards Rule program, privacy notice workflows and data handling controls.
State Money Transmitter
For products that move money, the architecture affects which state licenses may be needed. We surface those design choices early, before code is written, so your counsel can assess them while they are still cheap to change.
GDPR / CCPA
Data residency, consent management, deletion and data subject request workflows for fintechs with US and European customers, designed alongside the core data model rather than added as a layer later.
For how we protect data in our own systems and in what we build, see our security page. The short version: compliance is cheapest when it is part of the design, and most expensive when it is discovered in diligence.
Payment rail integrations
Payment rail selection affects your regulatory posture, your fee structure, and whether money-transmission licensing questions arise, so we compare rails in the design phase, before any integration work begins. We have built production integrations with Stripe and with identity verification services; the other categories below are common options, and which provider fits depends on your volume, your users and whether you hold funds.
Stripe
Payments, subscriptions, financial services (Stripe Treasury, Issuing)
Card and bank payments with a broad API
Bank-account verification and ACH providers
Linking bank accounts, ACH authorization and transfers
Instant account linking through an aggregator, or microdeposit verification as a fallback
Payment operations platforms
Payment operations, reconciliation, ledgering
For teams moving money across several banks and rails
Direct ACH
NACHA-compliant file origination for high-volume payroll/disbursements
Requires ODFI relationship
Decisions to make before any fintech code is written
The expensive mistakes in fintech are architectural, and they are made early. These are the five questions we recommend answering, in writing, before code is written, because each one is hard to reverse once real money has moved through the system.
- →Do you hold funds, or only direct them? The answer changes your licensing exposure, your bank partner's review, and which rails are available to you.
- →Which rail, and why this one? Card, ACH, real-time payments or a banking-as-a-service partner, compared on fees, settlement timing, dispute handling and what each requires of you.
- →Where is the ledger of record? Your own double-entry ledger, your provider's, or both, and which one wins when they disagree.
- →How does reconciliation work? Every movement matched against the provider's and the bank's records on a fixed schedule, with breaks surfaced to a person instead of discovered at month end.
- →What must the system prove later? Which decisions (an approval, a declined transaction, a flagged account) need a durable record of who or what decided, on what inputs, and when.
Reconciliation is not an accounting nicety. In a 2025 enforcement action against a banking-as-a-service provider that had filed for bankruptcy in April 2024, the Consumer Financial Protection Bureau alleged that the provider failed to keep records of where consumers' funds were that matched its partner banks' records, and that consumers lost access to their money for weeks or months as a result.
AI capabilities in fintech applications
We build AI into fintech products where it reduces manual review without removing accountability, and we have built all four of the systems below: fraud scoring, document checks during onboarding, alert triage for transaction monitoring, and underwriting models that state their reasons. Each AI decision writes a structured record (model version, inputs, output, and who reviewed it) so it can be explained to a customer, a partner bank or an examiner.
Fraud Detection
Every decision loggedLayered fraud detection: rule-based velocity and amount checks for known patterns, anomaly scoring for new ones, and a review queue for high-value cases. Each decision records the model version, input features and rationale, for explainability and dispute resolution.
Customer Onboarding Automation
Exceptions to peopleAI-assisted KYC: document extraction from government-issued IDs, selfie-to-ID matching, and sanctions and PEP screening, orchestrated into one flow. Clean applications move straight through; anything ambiguous goes to a person with the evidence attached.
Compliance Monitoring
Triaged alert queueTransaction monitoring against your BSA/AML rules, threshold alerts, and routing for SAR review. Analysts start from a prioritized queue with context attached rather than raw transaction logs.
Credit Decisioning
Reason codes built inUnderwriting models using bank statement data and cash flow patterns, built to output the specific reasons behind each decision, which adverse action notices under ECOA and Regulation B require. Whether a model meets your fair lending obligations is a determination for your compliance team and counsel; we build it so they can make it.
Who hires Code & Trust for fintech app development?
We have worked with a lot of different client types in financial services, including fintech startups building regulated products and banks and credit unions. The page is also written for companies outside finance adding payments or lending to their own product. What they share is a product that has to satisfy a bank partner, an auditor or a regulator as well as its users.
Fintech startups building regulated products
You're building a product that moves money, stores financial data, or makes credit decisions. Compliance architecture is far cheaper to get right before launch than to retrofit after a bank partner's review or a regulator's question. 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.
Banks, credit unions and financial services companies replacing legacy software
Your trading platform, loan origination system or core banking application was built before today's APIs and AI tooling. We rebuild it with a compliance-first architecture, and where operations cannot pause, the new system can run alongside the old one during the migration, depending on scope.
Fintech app development: common questions
Common questions from fintech buyers cover which frameworks apply, which payment rail to choose, how fraud controls are built and explained, and how long a regulated build takes. The pattern behind most of the answers is the same: decide the compliance-shaping questions before code is written.
What compliance frameworks does Code & Trust build fintech apps for?
We design fintech applications around the frameworks your product falls under: SOC 2 and PCI DSS controls, BSA/AML logging for transaction monitoring, GLBA data protection, and state money transmitter questions where they apply. We build the controls and the evidence trail; the audit or examination itself is performed by your auditor or regulator.
Which payment rails does Code & Trust work with?
We have built production integrations with Stripe. Other common options include bank-account verification and ACH providers, payment operations platforms, direct ACH origination via NACHA-formatted files, and your banking partner or BaaS provider for embedded products. The right choice depends on your regulatory posture, volume, and whether you hold funds, and we compare the options with you before integration work starts.
How does Code & Trust handle fraud detection in fintech apps?
We build fraud detection as a layered system: rule-based checks for known patterns (velocity limits, amount thresholds, geographic anomalies), anomaly scoring for new ones, and a human review queue for high-value edge cases. Each decision is logged with the model version, input features and rationale, so it can be explained in a dispute or a partner bank's review.
How long does a fintech app take to build?
A custom fintech application typically runs 8–16 weeks from kickoff to production; regulated products sit at the longer end, because the compliance architecture phase adds time before the build. Payment rail integration complexity, the number of user roles and transaction volume are the main drivers. Adding an AI feature, such as fraud scoring, to an existing product takes 2 to 4 weeks for a quick implementation, and longer, up to months, depending on complexity. Prototype, staging, and deployment milestones are agreed in the written scope.
What kinds of fintech clients do you work with?
A lot of different client types. They include fintech startups building regulated products, and banks and credit unions, among many others. What they have in common is software that a bank partner, an auditor or a regulator has to be able to trust. We sign an NDA before our first detailed conversation about your product.
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.
Other industries we build for
Ready to build a compliance-first fintech product?
Start the conversation. We'll work through which frameworks may apply to your product, compare payment rail options, and give you a fixed-price estimate before any contract is signed. No commitment required.