AI-Powered Fraud Intelligence Platform

Detect fraud.
Protect your team.
Before threats reach you.

Frauda is an intelligent desktop agent that monitors, detects, and neutralizes scam attempts in real-time — so your employees never have to guess.

Built and backed by

Riga Technical University University of Latvia

Fraud is evolving faster than your team can keep up.

Phishing, social engineering, and AI-generated scams are targeting employees daily. Traditional training isn't enough — your people need real-time protection at the point of contact.

€8B+
Lost to online fraud in the EU annually
91%
Of cyberattacks begin with a phishing email
3.4×
Increase in AI-generated scams since 2023
68%
Of SMEs lack dedicated fraud prevention

Three steps. Zero threats.

Frauda works silently in the background, giving your team AI-powered protection without disrupting their workflow.

Step 01

Install

A lightweight desktop agent that takes under 2 minutes to deploy across your organization.

Step 02

Detect

AI models analyze communications in real-time, identifying phishing, scams, and social engineering attempts.

Step 03

Protect

Instant alerts and automated blocking neutralize threats before they can cause damage.

Incoming message
AI threat analysis
Threat scored & flagged
Employee alerted instantly

Intelligent protection at every layer.

Real-time monitoring

Continuously scans emails, messages, and web interactions for fraud patterns.

Privacy-first architecture

All analysis runs locally. Your data never leaves your infrastructure.

Zero workflow disruption

Runs silently in the background. Your team won't even notice it — until it saves them.

Academic roots. Real-world impact.

Frauda is developed by a research-driven team with institutional backing from Latvia's top universities.

RTU Riga Technical University
LU University of Latvia

Ready to protect your team from the next scam?

We're onboarding our first partners. Share your needs, and help us build the fraud detection your business deserves.

Join Early Access