I Just Launched ForensiqAI (Beta)

I built ForensiqAI because I kept running into the same gap in fraud prevention: I tell people "this looks risky", but I don't explain the evidence in a way that helps them act confidently.

What is ForensiqAI?

ForensiqAI is an AI-powered forensic assistant designed to analyse:

• Suspicious links — URL reputation, redirect chains, domain age
• Messages / DMs — social engineering patterns, impersonation signals
• Emails — content analysis and header inspection
• Screenshots & files — visual and document forensics
• Transaction descriptions — anomaly and fraud pattern detection

Every analysis returns a clear verdict (Safe / Suspicious / Dangerous) with reasoning and actionable next steps — not just a score.

Why I Built This

I'm a FinTech + KYC-focused builder. In my time working in banking operations I saw how often fraud victims had warning signs in front of them but no framework to evaluate them quickly.

I wanted a tool I'd personally use: fast, multilingual (EN/ES/EL), and designed for real-world scam scenarios rather than academic benchmarks.

The Technical Side

ForensiqAI is built on the same stack as this portfolio:

• Next.js 16 + React 19 for the frontend
• Firebase App Hosting for zero-config CI/CD
• AI inference pipeline that processes text, URLs, images, and files
• Multilingual NLP supporting English, Spanish, and Greek

Status: Beta

This is Beta. Features and limits will evolve, and new scan modes are coming soon — but it's already usable today.

If you want to try it: forensiqai.g-makris.com

If you want to help shape it, I'd love your feedback — especially edge cases, false positives, and "what would make this actually useful for you?"

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Investigate Before You Trust. ForensiqAI by g-makris.com