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🤓 Latest Submissions
SentinelIQ Autonomous Enterprise Intelligence
The Autonomous Intelligence Layer for the Real-Time Enterprise Enterprise data is scattered across silos — client metrics in CRM, financials in ERP, partner data in spreadsheets, compliance logs in separate systems. By the time teams connect the dots, the insight is stale and the window to act has closed. SentinelIQ solves this with two autonomous AI agents. The Sentinel Scanner generates its own deep audit missions across six domains — risk, security, compliance , operations and transactions — executing queries, scoring findings with dynamic risk assessment, and automatically deep-diving into critical detections. It doesn't wait to be asked. It hunts. The Natural Language Query Engine lets anyone — from the CEO to an analyst — interrogate the entire data layer in plain English. SentinelIQ's NL2SQL pipeline classifies intent, extracts entities with fuzzy matching, generates precise SQL, and returns results with AI-generated insights and actionable recommendations. Every query can spin up an on-demand dashboard for instant visual exploration. Cross-domain correlation is the core differentiator. SentinelIQ connects patterns that span multiple business functions — linking a revenue decline to a partner channel shift caused by competitive pricing pressure — the kind of insight that takes human analysts weeks to assemble. Everything streams in real-time via server-sent events. Critical findings push to Slack with auto-tagged domain owners. After every scan, an Executive Intelligence Brief delivers an overall risk score, active threat vectors, prioritised actions, and monitoring recommendations — a decision document ready for the C-suite. Built with FastAPI, LangGraph, Gemini LLM, React/TypeScript, and SQLite. Autonomous scanning. Real-time intelligence. Executive-ready output. One platform.
7 Feb 2026
Agentic AI Platform for Custom Declaration
Nexora is an agentic AI-powered customs automation platform that transforms how global trade documentation is processed. Today, every shipment requires 5–10 documents such as invoices, packing lists, and airway bills—processed manually by customs brokers and logistics teams. This work is slow, error-prone, and expensive, taking 2–4 hours per shipment and causing delays, penalties, and compliance risks. Nexora solves this by combining Large Vision Models with Retrieval-Augmented Generation (RAG) and autonomous workflow agents. The platform extracts structured data from trade documents in seconds, classifies over 21,000 HS codes with 92% accuracy, computes CIF values, and generates audit-ready customs declarations automatically. It reduces documentation errors by up to 90% and shortens processing time from three hours to just 15 minutes. Using multi-document fusion, Nexora understands relationships across invoices, packing lists, and bills of lading, enabling precise customs declarations and eliminating repetitive manual work. Its enterprise-grade architecture — FastAPI, Qdrant vector search, and Celery-based asynchronous processing — ensures scalability, reliability, and integration with official customs systems. The impact is immediate and significant: faster border clearances, reduced operational costs, fewer penalties, and improved compliance. For logistics firms, freight forwarders, and international traders, Nexora delivers more predictable operations and dramatically lowers risk. For customs authorities, it ensures cleaner submissions, better data consistency, and more efficient trade flows. By automating global trade paperwork at scale, Nexora removes one of the biggest bottlenecks in international logistics and accelerates the movement of goods worldwide.
19 Nov 2025
