NALAR_ is an enterprise-grade AI risk intelligence platform that transforms how organizations detect and respond to operational, financial, and security threats hidden inside everyday documents. Most enterprises rely on manual document review or siloed tools that miss cross-domain risks. NALAR_ solves this by orchestrating a 5-agent AI pipeline — each agent specializing in a distinct phase of risk analysis: 1. Document Analyzer — extracts structured entities and context from uploaded files 2. Anomaly Detector — identifies risk vectors and scores overall threat level (0-100) 3. Validator & Checker — cross-validates findings for accuracy and confidence 4. Smart Summarizer — builds categorized executive insights across Access, Financial, and Compliance dimensions 5. Recommendation Engine — generates prioritized, actionable remediation steps with estimated resolution timelines Users simply upload a PDF, CSV, Excel, TXT, or LOG file. Within seconds, NALAR_ produces a full intelligence report — risk score, anomaly feed, executive summary, and action plan — presented through a clean, real-time dashboard. Built with FastAPI, Next.js, and Google Gemini, NALAR_ is fully deployed and production-ready. It demonstrates how multi-agent AI orchestration can make enterprise risk detection faster, smarter, and accessible to any organization.
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