Fintech

AI for payments, risk, and compliance — without the regulatory landmines.

Payments, KYC, fraud risk, agentic compliance.

Fintech AI lives under microscopes. Model decisions need to be explainable to regulators. Data pipelines need to pass SOC 2 and PCI audits. We've built AI-powered fintech products that have gone through compliance review at tier-1 banks and payments processors — and come out the other side.

Compliance & certifications

PCI DSS Level 1
SOC 2 Type II
GDPR
CCPA
BSA / AML
FINRA guidelines
ECOA / Reg B

Why Evolve Edge

Explainable AI by design Regulatory AI in fintech needs model cards, decision traces, and override capabilities. We build explainability in, not as an afterthought when a regulator asks for it.

PCI & SOC 2 native Cardholder data never touches a model input unencrypted. Our fintech stacks pass PCI DSS scoping and SOC 2 Type II audits without emergency remediation sprints.

Fraud signal depth We've trained fraud models on real transaction datasets — not toy examples. Precision-recall trade-offs tuned to your specific risk appetite, not industry averages.

Evolve Edge team at work

Use cases

KYC / AML automation

Document verification, identity matching, and watchlist screening with structured human review queues for edge cases and high-risk flags.

Fraud detection

Real-time transaction scoring with explainable feature attribution — flagging without the false-positive overload that burns out your fraud ops team.

Credit underwriting copilots

Augmented underwriting that surfaces risk signals from alternative data while keeping the lending decision with a human reviewer.

Regulatory reporting automation

Automated extraction, validation, and submission of regulatory filings with audit trails on every step — SAR, CTR, and prudential reports.

Customer service voice AI

PCI-compliant voice agents for account inquiries, dispute initiation, and payment processing — never storing raw card data in any call log.

Risk analytics dashboards

Real-time portfolio risk visualization with AI-driven anomaly detection and alert fatigue reduction for your risk ops team.

Client perspective

We passed PCI DSS Level 1 audit on the first attempt. Their team built security in from the start — no remediation sprint, no surprises.

Marcus WebbVP Engineering · Meridian Payments

FAQ

How do you handle explainability for AI credit decisions?
SHAP values for feature attribution, decision audit logs, and structured adverse action reason codes — all required by ECOA and Reg B for consumer lending in the US.
Can your models handle class imbalance in fraud datasets?
Yes. SMOTE, cost-sensitive learning, and threshold tuning for your specific false-positive tolerance. Fraud datasets are almost always severely imbalanced — we've never seen a balanced one in production.
Do you work with legacy banking core systems?
Yes. We've integrated with FIS, Jack Henry, Temenos, and custom core banking APIs. Legacy integration is a first-class concern for us, not an afterthought.

Have Questions? Let's Talk.

Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.