RackVision: Multimodal Spatial Agent

The Enterprise Friction Point: Global data centers operate with a costly "Visibility Gap." Network management systems track digital traffic and software logs but remain completely blind to physical environment data. When an on-site engineer over-bends a critical fiber patch or miswires a high-density GPU rack, the logical network drops packets silently, forcing engineering teams to waste hours guessing the physical root cause. The Solution: Beyond Copilots to Autonomous Action RackVision AI is a production-grade enterprise agent that unifies physical environment visual telemetry with logical infrastructure workflows, moving beyond simple chat copilots into real decision-making systems. Partner Technology Integration * Google Gemini Flash (via Gemini API): Handles our low-latency multimodal pipeline. It acts as an autonomous observer, analyzing live facility camera feeds to evaluate device port alignment, link-flapping anomalies, and cable strain before network failure occurs. * Google Gemini Pro: Drives our interactive "Sketch-to-Topology" simulation engine, instantly translating geometric hand-drawn whiteboard layout diagrams from onsite teams into dynamic logical twin configurations. Real-World Enterprise Utility When a physical or structural anomaly is caught by the multimodal pipeline, RackVision AI plans its own diagnostic steps without human intervention. It queries logical databases, maps the physical fault to the network topology, and triggers automated tool-calls to redirect mission-critical workloads minimizing downtime risks and optimizing Mean Time to Triage straight down to 48 seconds.