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Güeno

Automate fraud detection and regulatory compliance for financial transactions

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Güeno

Target Audience

  • Fintech startups
  • Cryptocurrency exchanges
  • Compliance teams
  • Latin American financial institutions

Hashtags

#FraudPrevention#FintechAI#CryptoCompliance#LatinFintech

Overview

Güeno's all-in-one platform helps businesses prevent financial fraud while meeting compliance requirements. It combines AI-powered transaction monitoring with automated regulatory checks for both traditional money (FIAT) and cryptocurrency operations. The system integrates data from multiple sources to detect suspicious activities in real-time, helping companies onboard users safely and maintain legal compliance across Latin America.

Key Features

1

AI Risk Engine

Real-time fraud detection for FIAT and crypto transactions

2

Unified API

Single integration point for all compliance monitoring

3

Multi-Asset Monitoring

Simultaneous oversight of FIAT and cryptocurrency flows

4

Automated Compliance

KYC, PEP screening, and AML checks in one platform

5

Behavioral Analysis

Detects account takeovers and suspicious user activity

Use Cases

🔒

Onboard users with automated KYC checks

💸

Monitor crypto and FIAT transactions in real-time

🕵️

Detect account takeover attempts

📋

Automate compliance reports for regulators

👥

Screen for PEPs and sanctioned entities

Pros & Cons

Pros

  • Combines fraud prevention with regulatory compliance
  • Real-time AI monitoring for multiple asset types
  • Unified API simplifies integration
  • Specialized for Latin American markets

Cons

  • Primarily focused on Latin American compliance needs
  • Requires technical integration effort

Frequently Asked Questions

What industries does Güeno support?

Primarily serves financial institutions, crypto platforms, and businesses needing compliance in Latin America

Can Güeno monitor cryptocurrency transactions?

Yes, provides AML monitoring for both FIAT and crypto transactions

How long does implementation take?

Clients report being operational within hours of integration

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