Financial software carries regulatory, security, and reliability requirements that generic software development does not. A payment processing error is not a bug report — it is a regulatory incident. Automely builds fintech applications with the compliance architecture, audit trail requirements, and fraud prevention infrastructure that operating in financial services demands.
Dedicated engineers • 7-day onboarding • PCI DSS, FCA & open banking compliance • NDA on day one50+
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120+
Projects Delivered
7 Days
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4.9/5★
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Every financial application operates within a regulatory framework — PCI DSS for payment data, FCA regulations in the UK, SEC and FINRA rules for investment platforms, state money transmitter licences for payment businesses, and GDPR or CCPA for user data depending on geography. The architecture of a fintech application is not separate from its compliance posture — they are the same thing. Access controls, audit logging, transaction immutability, data residency, and encryption standards are not features added after the product works; they are the foundation the product is built on.
AI is changing fintech significantly. Fraud detection models that analyse transaction patterns in real time, credit scoring algorithms that use alternative data, document processing for KYC and AML compliance automation, intelligent customer support with full transaction context, and AI-driven financial planning tools are all in production at scale. For companies building in financial services, AI is increasingly the product — not just an add-on. Automely's AI engineering capability applies directly to this layer.
The table below summarises the key regulatory and compliance considerations that fintech software architecture must address — these are design inputs, not optional add-ons.
| Regulation / Standard | What It Requires from Software |
|---|---|
| PCI DSS | Cardholder data environment isolation, tokenisation, audit logging, quarterly penetration testing |
| FCA (UK) | Consumer Duty compliance, operational resilience requirements, approved person controls |
| PSD2 / UK Open Banking | Strong Customer Authentication (SCA), ASPSP API integration, consent management |
| GDPR / CCPA | Data minimisation, right to erasure, consent records, cross-border transfer controls |
| AML / KYC (FATF) | Customer due diligence, transaction monitoring, SAR filing workflows, record retention |
| SOC 2 Type II | Access controls, audit logging, availability monitoring, change management evidence |
WHAT WE BUILD
Every fintech engagement is scoped around your regulatory environment, target user, and the financial product you are building — not adapted from a generic web application template.
Mobile and web banking applications: account management, real-time transaction feeds, payment initiation (Faster Payments, SEPA, ACH), open banking integrations via PSD2/UK Open Banking APIs, push notifications for transaction events, and the security architecture (biometric auth, device binding, transaction signing) that modern banking apps require.
Build Your Banking App →Custom payment infrastructure: payment gateway integration (Stripe, Adyen, Braintree), split payments and marketplace payment flows, subscription billing engines, multi-currency processing, refund management, and the reconciliation tooling that makes a payment platform operationally manageable at volume.
Build Your Payment Platform →Portfolio management dashboards, real-time market data integration (via Alpaca, Interactive Brokers API, or direct exchange feeds), order management systems, automated rebalancing tools, robo-advisory features, and the latency-optimised backend infrastructure that trading applications require.
Build Your Trading Platform →Real-time transaction monitoring with ML-based anomaly detection, rule engine configuration for fraud pattern matching, velocity checks, device fingerprinting, behavioural biometrics integration, and the case management tooling that fraud analysts use to review flagged transactions. Built as a service that integrates into existing payment flows.
Build Your Fraud Detection →Insurance platform development: policy management, claims processing, underwriting automation, premium calculation engines, and agent portal development. Lending platform development: loan origination systems, credit scoring integration, document collection and KYC verification workflows, repayment management, and collections tooling.
Build Your Finance Platform →Identity verification workflow integration (Jumio, Onfido, Persona), document verification automation, sanctions screening (OFAC, PEP lists), beneficial ownership capture, AML transaction monitoring rule configuration, and the audit trail infrastructure that compliance teams need for regulatory reporting.
Build Your Compliance Tools →HOW WE WORK
Six stages built around the specific requirements of financial services software — from regulatory scoping and financial data model design through compliance feature delivery, AI risk tooling, and security audit before launch.
01
We identify the regulatory framework your product operates in — PCI DSS scope for payment card data, FCA authorisation requirements, PSD2/Open Banking obligations, AML/KYC requirements, and data protection obligations under GDPR or CCPA. This determines the architecture decisions made before a line of code is written. Deliverable: Compliance requirements specification and architecture security checklist.
02
Financial applications have specific data integrity requirements: transaction immutability (no UPDATE on financial records — append-only ledger patterns), double-entry bookkeeping for balance accuracy, currency and rounding handling (decimal precision, not floating point), and audit trail completeness. We design the data model correctly before development begins. Deliverable: Approved financial data model with transaction log architecture and reconciliation design.
03
Backend API, authentication and authorisation (MFA, biometric auth for mobile), payment integration or banking API layer, and the core financial workflows specific to your product. Two-week sprints with working software at each cycle. Security review and penetration testing integrated into the development cycle, not run once at the end. Deliverable: Testable platform increments with security review at each sprint.
04
KYC and identity verification integration (Jumio, Onfido, Persona), AML transaction monitoring rule engine, sanctions screening (OFAC, PEP lists), audit logging with immutable records, GDPR consent management, and the case management tooling compliance teams need for regulatory reporting and SAR filing. Deliverable: Compliance features deployed and tested against regulatory requirements with documentation.
05
For fraud detection builds: ML model training on transaction data, rule engine configuration, real-time scoring integration, and analyst dashboard deployment. For document processing: KYC document extraction automation, LLM-based financial document analysis. For lending: credit scoring model integration and alternative data pipeline construction. Deliverable: AI features deployed with accuracy metrics validated against sample data.
06
External penetration test commissioned and findings remediated before launch. Load testing to validate performance under peak transaction volume. PCI DSS scope review if applicable. Monitoring and alerting configured (transaction anomaly alerts, fraud rule triggers, infrastructure health). Deliverable: Security audit report, performance test results, and monitored production deployment.
Fintech projects fail when the development team treats financial software like any other web application — no audit trail, floating-point currency handling, PCI DSS as an afterthought, and fraud detection bolted on after launch. Automely builds for financial services requirements from the architecture stage.
The Problem You Face
What Automely Does Differently
Payment errors treated as software bugs to be fixed in the next sprint — no audit trail, no regulatory incident classification, and no immutable transaction log that can be reviewed in the event of a dispute or regulatory query
We build financial applications with append-only transaction ledgers, immutable audit logs, and regulatory incident classification from the start — so every financial event is traceable and the audit trail required for compliance and dispute resolution exists by default
PCI DSS compliance approached as a checklist exercise after the product is built — requiring expensive architectural rework to isolate the cardholder data environment, add tokenisation, and implement the penetration testing programme the standard requires
We scope PCI DSS requirements before architecture begins — cardholder data environment isolation, tokenisation strategy, and audit logging designed in from the start, so PCI compliance is a by-product of correct architecture rather than a retrofit
KYC and identity verification handled manually by a compliance team reviewing documents — a bottleneck that grows linearly with user volume and creates the risk of inconsistent verification standards across the customer base
We integrate automated identity verification (Jumio, Onfido, Persona) with sanctions screening (OFAC, PEP list matching) and document verification automation — so KYC scales with user volume and maintains consistent verification standards programmatically
Fraud detection based on static rule sets configured once at launch — rules quickly become stale as fraudsters adapt, and the lack of ML-based anomaly detection means novel fraud patterns go undetected until volume becomes visible
We build real-time fraud detection with ML-based anomaly detection trained on transaction patterns, velocity checks, device fingerprinting, and behavioural biometrics — so detection improves over time as the model learns from new transaction data
Financial data stored in standard relational tables with UPDATE statements for balance changes — technically incorrect for financial ledgers, creating reconciliation complexity and making it impossible to audit the precise sequence of transactions that produced a current balance
We build financial data models using append-only ledger patterns with event sourcing — every balance is derived from its complete transaction history, making reconciliation exact and audit trail completeness guaranteed
Open banking integration built directly against a single provider's API — requiring rework when adding additional markets, and creating maintenance overhead when API versions change
We build open banking integrations through abstraction layers (TrueLayer, Plaid, Yapily) that handle multi-bank connectivity, consent management, SCA compliance, and API version management — so additional markets and providers are configuration rather than new engineering work
TECH STACK
Every technology below is used in live fintech deployments — from PCI DSS-compliant payment infrastructure through to ML-based fraud detection and open banking API integration.
Node.js / NestJS
Python (FastAPI / Django)
Go (high-throughput)
PostgreSQL (ACID)
Below are examples of fintech software projects delivered by Automely. All client details are kept confidential.
FINTECH SECTORS WE SERVE
We build fintech applications across the full range of financial services categories — from neobanks and payment platforms to insurtech, lending, and regulatory compliance tooling.
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FINTECH QUESTIONS
What is fintech?
Fintech (financial technology) refers to companies and software products that use technology to deliver or improve financial services. The term covers a wide range of businesses: digital banks and neobanks (Revolut, Monzo, Chime) that operate without physical branches, payment platforms (Stripe, PayPal, Square), investment and wealth management apps (Robinhood, Betterment, Nutmeg), lending platforms (LendingClub, Funding Circle), insurance technology companies (Lemonade, Root), and the infrastructure providers (Plaid, Stripe, Adyen) that other fintech products are built on.
The defining characteristic of fintech is that financial services are delivered primarily through software rather than through physical infrastructure or human intermediaries. This allows fintech companies to operate with lower overhead, reach customers through mobile apps rather than branches, and use data and machine learning in ways that traditional financial institutions cannot move as quickly to implement.
What is a fintech company?
A fintech company is a business that uses software and technology as its primary means of delivering financial products or services — as opposed to a traditional bank or financial institution that delivers services primarily through physical branches, relationship managers, and manual processes. Fintech companies include digital-only banks, payment processors, peer-to-peer lending platforms, robo-advisors, insurance technology companies, cryptocurrency exchanges, and the API infrastructure providers that other financial services companies build on. Most operate under financial services regulations (FCA in the UK, SEC/FINRA/OCC in the US, depending on the product) and require regulatory authorisation to offer certain financial products.
What are examples of fintech applications?
Digital banking apps — Revolut, Monzo, Chime, N26: current accounts, international transfers, budgeting tools, with no physical branches
Payment platforms — Stripe, Square, Adyen, PayPal: payment processing for businesses, including point-of-sale, e-commerce, and subscription billing
Investment apps — Robinhood, eToro, Nutmeg, Freetrade: commission-free trading, robo-advisory, ISA and pension wrappers
Lending platforms — Funding Circle, LendingClub, Kabbage: alternative business lending using data-driven credit assessment
Insurance tech — Lemonade, By Miles, Zego: usage-based insurance, AI-powered claims processing, digital-first policy management
Open banking infrastructure — Plaid, TrueLayer, Yapily: APIs that connect fintech apps to bank account data with customer consent
Crypto and DeFi — Coinbase, Binance, Uniswap: cryptocurrency exchange, custody, and decentralised finance protocols
How long does it take to build a fintech application?
Timeline depends heavily on regulatory requirements and scope. A consumer-facing payment app that uses Stripe's API (not a full payment infrastructure build) with account management and transaction history: 12–16 weeks for an MVP. A lending platform with loan origination, credit scoring integration, and KYC workflow: 16–24 weeks. A neobank or digital banking product requiring FCA authorisation, open banking integration, and a full current account product: 12–18 months including regulatory process. The regulatory timeline often exceeds the technical build timeline — regulatory authorisation for a UK payment institution takes 6–12 months with the FCA.
What security standards apply to fintech software?
The applicable standards depend on the product: PCI DSS applies to any application that stores, processes, or transmits payment card data. SOC 2 Type II is increasingly required by enterprise customers to demonstrate security controls are operating effectively over time. ISO 27001 is the international information security management standard, required by some regulated counterparties. In the UK, FCA operational resilience requirements apply to regulated firms. For open banking, Strong Customer Authentication (SCA) under PSD2 applies to payment initiation and account access services.
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