Hey everyone,
I wanted to share a project we’ve been developing for the Sui ecosystem that sits at the intersection of AI-driven infrastructure, RegTech, and network security: the Sui INTERAX Scanner (INTERAX GLE-OS).
Our platform is a mobile-first, enterprise-grade safety tool designed for institutional Web3 forensics. Instead of building speculative applications, our core focus is solving real-world compliance and regulatory friction (such as MiCA, AMLD6, and IRS requirements) to bring more institutional trust to the Sui Mainnet.
How it Works & Technical Stack:
- Data Ingestion: We map out multi-hop object routing natively using the Sui Mainnet GraphQL API.
- AI Forensic Layer: We pipe asynchronous on-chain data into the Claude 3.5 Sonnet API to automatically analyze transactions, detect multi-hop asset routing anomalies, and flags potential security vectors.
- Automated Dossiers: The system dynamically compiles these AI insights into audit-ready PDF forensic dossiers utilizing a FastAPI (Python) backend, MongoDB cluster, and ReportLab.
- Frontend: Built fully mobile-first using Expo / React Native & expo-router.
We put together a brief 3-minute technical pitch and a live demonstration video showing how the engine queries the Sui Mainnet and structures the compliance reports in real-time.
Watch our Pitch and Demo here: https://youtu.be
Given the Sui Foundation’s recent emphasis on milestone-based backing for AI infrastructure, data markets, and robust risk management tools, we believe institutional compliance layers like this are going to be crucial for long-term TVL stability.
We would love to hear feedback from the developer community here:
- What additional security metrics or object properties should our scanner monitor to assist protocols with risk management?
- Are there specific Move smart-contract patterns you would like to see our AI agent flag automatically?
If you like what we are building, you can also check out our Emergent Showcase listing here: https://emergent.sh
Looking forward to your technical feedback and suggestions!