regulatory-intelligence

AI-powered penetration testing regulatory intelligence system — LangGraph agents, dual LLM (OpenAI + local MLX), 20+ financial services jurisdictions

IntelliForm — Open-source Agentic AI platform for sustainable green chemistry formulations. Natural language → RDKit-powered optimization → ChemRich NJ pilot ready. Contributions warmly welcome from chemists, ML engineers & sustainability builders! 🚀 ChemeNova × ChemRich Global

Claude Code skill for AI governance intelligence. Researches any topic across UK Parliament, ICO, FCA, EU AI Act, arXiv, and BAILII. Produces structured briefings with real citations, gap analysis, and trajectory assessment.

Open, source-backed AI policy and regulatory intelligence tracker

A curated list of resources for medical device regulatory professionals — agencies, standards, databases, tools, and educational content.

A REST API that monitors legislation.gov.uk for material changes to UK employment law and returns structured compliance intelligence for SMEs using BERT-based classification.

A proof-of-concept toolkit for structured compliance requirement tracking and workflow automation. SEBI Compliance Manager is an Agentic AI-powered RegTech platform for listed companies to manage SEBI LODR, PIT and governance compliance.

AI-powered regulatory intelligence scanner — monitor and analyze regulatory changes by industry in real time.

A modular data governance suite that turns regulatory case files into structured intelligence: breach taxonomies, remediation actions, platform risk, credential hygiene, vendor accountability, response timelines and enforcement trends. Built on public enforcement decisions and AI.

Implement a three-layer memory system for Claude Code to enhance AI retrieval, organization, and querying with automatic and on-demand layers.

Explainable multi-agent regulatory intelligence built with Google ADK, Gemini, and FDA data for AI medical devices.

Fail-closed Codex plugin for NAS-first medical guideline search and jurisdiction-aware, privacy-guarded evidence-card validation.

An intelligent automated Risk & Compliance Copilot engineered to trace an auditable Line-of-Custody (Signal ➔ Evidence ➔ Report) for financial entities. Built using Python, Streamlit, FAISS vector search, and Gemini RAG pipelines to instantly process transaction logs against dense regulatory frameworks.

Snowflake-native Risk & Fraud Copilot. Built with Snowpark & Cortex AI (e5-base-v2, Llama 3.1) for real-time procurement fraud detection. Automates RBI/PMLA compliance monitoring, suspicious transaction checks, and remediation locks under strict role-based access control.

FINRA BrokerCheck compliance scraper

Astra-powered public-evidence drug review investigations, evaluated FDA cohort baselines, and reproducible source audits.

The Trinity: Multi-AI prompt engineering framework (Claude+Gemini+Python). Proven ROI: 3,300x cost reduction ($18 vs $60K). Real metrics: 959 searches → 5,755 documents → 245 policies. Validated on semiconductor tariffs, scalable to any industry.

Live tracker for AI regulations, frameworks, and compliance standards worldwide — stay ahead as legislation evolves.

Evidence-only regulatory & policy intelligence for banks — compliance graph, gap detection, cited audit Q&A. Go + Claude Agent SDK + Vue. AGPL-3.0.

An autonomous agent that monitors FCA publications, classifies by urgency, and delivers structured briefings.