Industry · Fintech

AI for financial services

We build AI for banks, lenders, and financial services — real-time fraud detection, automated compliance review, intelligent document processing, credit risk scoring, and financial analytics built for security, compliance, and sub-100ms performance.

47msFraud latency
68%Fraud reduction
SOC2Ready
6 moTypical ROI
Industry context

Built for financial rigor

Financial AI requires sub-millisecond latency, explainability for audits, bias monitoring for fair lending, and SOC2/PCI-DSS security. We've built production systems handling millions of transactions daily.

01

Real-time scoring

Sub-100ms fraud and risk models at millions of transactions per day.

02

Regulatory ready

SOC2, PCI-DSS, GDPR, explainable decisions, and audit documentation.

03

Document intelligence

Loan apps, financial statements, KYC docs, and contract analysis at scale.

04

Measurable ROI

Fraud reduction, compliance automation, and faster credit decisions with clear payback.

Use cases

Where fintech AI delivers

High-impact use cases for banks, lenders, and financial platforms.

Fraud

Fraud Detection

Real-time transaction scoring, anomaly detection, behavioral biometrics, and graph-based fraud networks.

  • Sub-100ms latency
  • Graph ML
  • Ensemble models
Compliance

Compliance Automation

RAG-powered regulatory review, KYC/AML checks, transaction monitoring, and SAR generation.

  • Reg change tracking
  • Policy matching
  • Audit trails
Credit

Credit Risk Scoring

ML credit decisioning with alternative data, explainable factors, and fair lending monitoring.

  • Alternative data
  • Explainability
  • Bias audits
Docs

Document Intelligence

Loan applications, financial statements, tax docs, identity verification, and contract analysis.

  • OCR + extraction
  • Validation rules
  • Human review
Analytics

Customer Analytics

Churn prediction, LTV modeling, product recommendations, and personalized financial insights.

  • Segmentation
  • Propensity models
  • Next-best-action
Copilot

Financial Copilots

AI assistants for advisors, loan officers, and compliance — research, summarization, and decision support.

  • Domain RAG
  • Citation binding
  • Workflow actions
01Which fintech AI use cases deliver fastest ROI?

Fraud detection (68% reduction), compliance review (78% faster with RAG), credit scoring (35% fewer defaults), and document automation (70% less manual processing). Most achieve payback within 6 months.

02How do you handle financial data security?

SOC2 Type II, PCI-DSS, GDPR, CCPA — encryption at rest and in transit, access controls, audit logging, data residency, and model governance documentation.

03Can AI help with regulatory compliance?

Yes — RAG systems process regulatory documents, flag violations, generate reports, and track changes. One compliance AI deployment saved $900K annually.

04Do you build real-time financial AI?

Yes — fraud detection at millions of transactions/day with sub-100ms latency using Kafka, Flink, feature stores, and optimized serving.

Next step

Ready to build fintech AI?

Tell us about your use case — we'll design a compliant solution with clear ROI projections.