Modern logistics runs on Physical AI: autonomous mobile robots, computer-vision receiving lines, AI-directed yard and dock operations. The challenge is not individual automation islands — it is the distributed-agent architecture that coordinates them under real-time constraints, with on-prem inference and no cloud dependency. Auralink's multi-agent resource-arbitration architecture — proven in coordinating distributed EV charging assets under grid-balancing constraints — provides directly transferable primitives for warehouse AMR/AGV fleet orchestration. We work to ISO 3691-4 (driverless industrial trucks) and IEC 62443 OT security for logistics edge deployments.
We design Physical AI architectures for logistics operations — from multi-agent AMR fleet controllers and computer-vision inspection pipelines to autonomous yard management — deployed on sovereign, on-prem infrastructure with no cloud dependency. Our distributed-agent primitives, proven in Auralink's EV charging network coordination, transfer directly to warehouse and port orchestration. Engagement model: Advise (architecture and vendor-neutral tech selection), Build (end-to-end system delivery to ISO 3691-4 and IEC 62443), Train (capability transfer to internal logistics engineering teams).
Based on common industry needs
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