Decentralized AI infrastructure for fraud detection and financial risk intelligence

Aureq AI builds Aureq AI — the world's first peer-to-peer, privacy-preserving, self-learning fraud detection engine for banks, fintechs, and payment networks.

Request Pilot Access Download Whitepaper (coming)
Incorporated: Delaware Use cases: Payments · Lending · Remittances · Insurtech
Aureq AI dashboard
Realtime fraud scoring
Model F1: 0.87 · Balanced Acc: 0.89 . GMean: 0.89
node: 1

Aureq AI — Decentralized Fraud Intelligence Network

Aureq AI transforms how financial institutions detect fraud by combining peer-to-peer AI training, secure model aggregation, and built-in explainability — all without centralizing customer data.

  • Peer-to-peer AI training — Nodes collaborate without sharing raw data.
  • Explainability — SHAP-based explanations provided for every decision.
  • Enterprise security — Encrypted model updates and authenticated peers.
Apply for Pilot
Real-time scoring

Sub-100ms predictions via lightweight APIs for low-latency payments integration.

Self-healing network

Peer failover and discovery keep the network healthy without a central coordinator.

Privacy-first

No customer data leaves the host perimeter; only encrypted model updates are shared.

Plug & play

Docker, on-prem, or cloud — integrates with existing pipelines.

Technology

Three-layer architecture designed for scale, resilience, and explainability.

Discovery Layer

Peer registration, heartbeats, and authenticated discovery service for decentralized topology management.

Collaboration Layer

ZeroMQ peer channels, encrypted model updates, federated averaging, and momentum-aware aggregation strategies.

Intelligence Layer

PyTorch models, XAI via SHAP, CSV/JSON ingestion, and monitoring with model cards and versioning.

Supported frameworks: PyTorch · XGBoost · SHAP · ZeroMQ · FastAPI

Early Access Pilot Program

We are onboarding banks, fintechs, payment processors, and crypto platforms for limited pilot deployments. Participants receive free integration, detailed performance dashboards, and early-adopter licensing.

  • Dedicated integration support
  • Shared model improvements across the pilot network
  • Security & compliance review
Apply for Pilot
Pilot checklist
  1. Sign NDA
  2. Run on staging node
  3. Share model metrics
  4. Go live (optional)
Start discussion

Compliance & Trust

Aureq AI is built with compliance in mind. Every prediction produces explainability metadata, model provenance, and auditing details suitable for PCI, GDPR, POPIA, and AML workflows.

PCI
Data security
GDPR
Data rights
POPIA
Regional compliance
Responsible AI
Explainability

About Aureq AI

Aureq AI is a Delaware-incorporated company building decentralized AI infrastructure for fraud detection. Our mission: decentralize financial intelligence and democratize access to advanced fraud detection.

Founder
Keneuoe Seoela
Founder & CEO — Aureq AI

Building decentralized AI systems for financial institutions. Experience in distributed systems and ML for fintech.

Contact

Partner with us, request a demo, or apply for pilot access.

Email: seoela.keneuoe@aureqai.info

Address: Delaware, USA

LinkedIn GitHub
Quick message