SYSVIA ProofSight

**SYSVIA ProofSight — Bridging Digital Records and Physical Reality with AI** Every day, warehouses process thousands of orders using ERP and Warehouse Management Systems. But these systems have a fundamental blind spot: they record what employees report, not necessarily what physically happened. A shipment can be marked ready even when its contents have not been independently verified. SYSVIA ProofSight addresses this problem by introducing an AI-powered physical verification and operational intelligence layer. Powered by Meta's Muse Spark 1.3 and Segment Anything Model (SAM) 3.1, ProofSight analyzes packing-station images, identifies and localizes visible products, and compares physical observations against expected order contents. When discrepancies or uncertainty arise, its AI agent investigates order details, inventory records, and operational history through controlled, read-only tools. Unlike traditional computer vision applications, ProofSight connects visual understanding with operational reasoning and actionable workflows. Its deterministic safety engine enforces shipment holds, maintains audit trails, and requires human approval for corrective actions. Our working prototype demonstrates real Meta API inference, evidence-linked product observations, agentic investigation, and human-supervised exception handling. In a live API-backed demonstration using synthetic imagery, the system identified visible products, flagged an unobserved item without falsely declaring it missing, and correctly required human review. **Our vision is to transform enterprise systems from platforms that merely record operations into systems that can independently evaluate physical evidence and support trustworthy operational decisions.** ProofSight is developed by SYSVIA, a software engineering company building intelligent enterprise solutions.