Keiretsu Radar: AI Supplier Risk Map

Keiretsu Radar is an AI-powered supplier intelligence platform that helps companies detect supplier and vendor risks earlier by turning live public web data into structured business intelligence. Inspired by the Japanese concept of keiretsu, where companies operate through deeply connected supplier and partner networks, the product treats supplier risk as a network problem rather than a single company problem. Users can enter a company, industry or supplier list and Keiretsu Radar scans public web signals such as news, company websites, hiring activity, leadership changes, regulatory updates, product availability, pricing movement and reputation signals. The system then generates a supplier network graph, risk scores, evidence cards and a boardroom ready executive brief. Bright Data acts as the primary live web intelligence layer, helping the agent collect and structure public web data reliably. The platform also includes fallback connectors for demo resilience, such as Firecrawl, Tavily, Exa, GDELT, NewsAPI and seeded demo data when live credentials are unavailable. The interface clearly labels whether it is running in Live Mode or Demo Mode. Keiretsu Radar is built for procurement, finance, strategy and risk teams that need faster supplier due diligence and earlier warning signs before disruptions appear in internal systems. Instead of manually checking scattered web pages, teams get one clear dashboard showing which suppliers are stable, which require monitoring and which present urgent risks.