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BANKING, FINTECH & INSURTECH ENGINEERING

Core Banking Modernization & Algorithmic AI Fraud Shielding

Public banking industry studies show 45% of core mainframe migrations exceed 3-year timelines and run millions over budget. We combine custom Full-Stack Engineering with Specialized FinTech AI Use Cases to crack any banking or quantitative trading stage—with universal regulatory compliance and 0% vendor lock-in.

3–4 Mo.
Delivery Cycle vs. 3–5 Year Typical Core Mainframe Migrations
< 10ms
Real-Time Graph Neural Network AML Fraud Scoring Latency
100%
PCI-DSS L1, SOC 2 Type II & ISO 27001 Audit Alignment
0%
Vendor Lock-In • Full Ledger Source Code & Algorithm IP
Public Market Data & Pain Points

Why FinTech Software Fails & How We Solve It

We replace rigid legacy core banking suites and high-latency fraud filters with custom, event-driven financial architecture.

Core Banking Modernization & Open Banking APIs

We decompose legacy COBOL and AS/400 mainframes into event-driven cloud microservices with ISO 20022 and PSD2/PSD3 open banking compliance.

Public Market Pain Point (Cost & Delay): Legacy banking suites charge prohibitive per-account licensing markups and require overnight batch windows that prevent real-time 24/7 ledger settlement.
How We Solve With Full-Stack + AI: We engineer event-driven Kafka ledger microservices (Rust/Node.js) with real-time shadow reconciliation, enabling instant multi-currency clearing and open banking APIs without vendor lock-in.

Graph Neural Network AML & Fraud Shielding

Deploying real-time graph neural networks that analyze transaction velocity and account topologies to flag money laundering and synthetic identity fraud.

Public Market Pain Point (High False Positives): Rule-based AML engines generate 85% false positives, blocking legitimate customer transactions and costing banks an average of $38M/year in manual review labor.
How We Solve With Full-Stack + AI: We build real-time AI inference pipelines that score transactions in <10ms, cutting false positives to 0.1% while automatically generating regulatory Suspicious Activity Reports (SARs).

High-Frequency Trading & Quantitative Execution

Engineering ultra-low-latency C++ and Rust trading engines with FPGA acceleration and direct exchange order-routing for quantitative hedge funds.

Public Market Pain Point (Latency Slippage): Even a 50-millisecond execution delay in quantitative equity or FX trading causes severe price slippage and algorithmic arbitrage losses.
How We Solve With Full-Stack + AI: We code memory-safe Rust and C++ execution engines with microsecond order book processing and real-time Value-at-Risk (VaR) mathematical simulations.

Autonomous InsurTech Underwriting & Claims AI

Automating property, health, and casualty insurance underwriting using multimodal LLMs that evaluate medical charts and accident imagery in seconds.

Public Market Pain Point (Customer Friction): Manual credit bureau lookups and claims adjudication take 7–14 business days, driving 40% of applicants to abandon quotes for instant neo-bank competitors.
How We Solve With Full-Stack + AI: We build multimodal AI underwriting microservices that evaluate verified alternative data and accident imagery to deliver instant 60-second policy approvals and payouts.
Global Regulatory Governance

Universal Security & Compliance Across Any Country

We engineer data residency, zero-trust tokenization, and automated audit trails so your financial platform passes regulatory inspections worldwide with faster adoption.

🇺🇸 Americas Financial Frameworks

PCI-DSS Level 1, SOC 2 Type II, SEC/FINRA algorithmic trading rules & FDIC banking standards.

🇪🇺 Europe & 🇬🇧 UK Governance

PSD2 / PSD3 Open Banking, GDPR Article 32 Financial Privacy & UK FCA operational resilience.

🇮🇳 India & APAC Regulations

RBI data localization rules, MAS Singapore TRM guidelines & Australia APRA CPS 234.

Full-Stack Execution

We Crack & Support Any FinTech Lifecycle Stage

From MVP neo-bank launches to enterprise mainframe rescue, we deliver in weeks without vendor lock-in.

1. Greenfield MVPs

Architect and ship PCI-DSS ready FinTech, wallet, or neo-bank apps in 8–12 weeks with zero technical debt.

2. Core Mainframe Rescue

Decompose monolithic AS/400 or COBOL core banking systems into modular, scalable cloud microservices without ledger downtime.

3. Low-Latency Scaling

Optimize database locks, Redis caching, and Kafka clusters to handle 10,000+ simultaneous payment transactions per second.

4. Custom AML & Fraud AI

Embed graph neural networks and custom credit risk LLMs directly into your payment authorization pipeline.

Ready to Accelerate Your FinTech or Banking Roadmap?

Partner with CogFocus™ for custom full-stack core ledger engineering, open banking APIs, and AI fraud systems.

Schedule FinTech Architecture Consultation →