AI • Fintech
Dextektif
AI AML for decentralized exchanges
An AI-powered anti-money laundering platform for decentralized exchanges, built to monitor suspicious wallet activity and transaction networks.
Project focus
Wallet monitoring, graph analysis, and AI-assisted risk detection
Case study
Dextektif is an AI anti-money laundering platform for decentralized exchanges. It focuses on suspicious wallet monitoring, transaction graph analysis, and AI-assisted risk detection for fintech review workflows.
Problem
Decentralized exchange activity can be difficult to review when suspicious wallet behavior is spread across transactions and network relationships. Dextektif frames those signals as a product workflow for investigation.
Approach
The build combines Python, full-stack development, Solana context, data visualization, wallet monitoring, graph analysis, and AI-assisted risk detection.
Outcome
The project became a finalist at the BI-OJK Hackathon 2025, giving the page a specific fintech and AML authority signal.
Recognition
Finalist - BI-OJK Hackathon 2025