Financial services, re-platformed for real-time.
Ageing core banking, rising fraud and relentless regulation make it slow and costly to ship new products while fintech challengers move in days. CodeFacts modernises the core, hardens security and compliance, and turns your data into real-time payments, faster onboarding and sharper risk decisions.
What's changing in financial services.
Banks and payment firms run mission-critical money movement on decades-old cores while customers expect instant, mobile-first experiences and regulators demand ever-tighter KYC, AML and reporting. Real-time rails, open banking and embedded fintech have collapsed the time-to-market advantage incumbents once enjoyed. The institutions that win are re-platforming incrementally and putting governed data and AI at the centre of every decision.
What makes financial services hard.
The specific, structural challenges we build against — not generic pain points.
Legacy core banking
Ledgers, cards and payments run on rigid mainframe and COBOL cores that are slow, expensive and risky to change.
Fraud and financial crime
Real-time payments and account takeover attacks outpace static, rules-only fraud and AML controls.
KYC, AML and compliance
Onboarding checks, sanctions screening and regulatory reporting are manual, fragmented and audit-heavy.
Real-time and digital payments
Supporting instant rails, ISO 20022 and open banking demands throughput and resilience the old stack lacks.
Fintech-grade onboarding and CX
Account opening still takes days on branch-era journeys while challengers convert in minutes on mobile.
Data silos and risk analytics
Customer, transaction and risk data is scattered across products and acquisitions, so no one has one true view.
From problem to platform.
Each challenge has an engineering answer. This is how we turn them into working systems.
Rigid legacy core
Incremental, strangler-fig re-platforming — new API-driven services around the ledger, retiring the core in stages with zero big-bang risk.
Fast-moving fraud
Real-time ML fraud and AML scoring on the transaction stream, catching account takeover and mule patterns rules miss, with lower false positives.
Manual KYC and reporting
Automated digital KYC with document AI, sanctions and PEP screening, plus governed pipelines that generate audit-ready regulatory reports.
Instant payment demands
Cloud-native, event-driven payment services built for ISO 20022, instant rails and open banking APIs, engineered for high throughput and resilience.
Slow onboarding journeys
Mobile-first onboarding with straight-through verification and decisioning, converting applicants in minutes not days.
Fragmented risk data
A unified, governed data platform giving one view of customer, exposure and liquidity for pricing, credit and risk analytics.
Systems built for financial services.
Core modernisation layer
API and event gateways that wrap and progressively replace legacy banking cores.
Real-time payment services
Cloud-native payment initiation, clearing and reconciliation for instant and ISO 20022 rails.
Fraud and AML engine
Streaming ML models scoring transactions and behaviour for financial crime in real time.
Digital onboarding platform
Mobile KYC, identity verification and straight-through account opening.
Risk and data platform
One governed source of truth for exposure, credit, liquidity and regulatory reporting.
Customer and channel apps
Web and mobile banking, secure and accessible, that match fintech expectations.
The service offerings we bring.
One partner across strategy, AI, engineering, cloud, data and growth — mapped to what this sector needs.
Outcomes we engineer for.
Faster time-to-market for new products and channels
More fraud and financial crime caught, with fewer false positives
Onboarding cut from days to minutes with straight-through KYC
One governed, audit-ready view of customer and risk
Questions we hear.
Can you modernise our core without a risky rewrite?+
Yes — we use incremental, strangler-fig modernisation, wrapping the core with APIs and replacing it in stages while payments keep flowing.
How do you handle security and regulatory compliance?+
Security, auditability and governance are designed in — private deployments, access controls, encryption and KYC/AML and reporting built for regulated environments.
Can you support real-time and open banking payments?+
Yes — we build cloud-native, event-driven services for instant rails, ISO 20022 and open banking APIs with the throughput and resilience they demand.
How does AI improve fraud and risk?+
ML models score transactions and behaviour in real time to catch fraud, mules and AML patterns rules miss, while keeping false positives and analyst load down.
Where should we start?+
Usually a high-value, contained first use-case — such as digital onboarding or a real-time fraud model — that proves value fast before wider re-platforming.