J. Rice
Vantiq,
United States
Keywords: Smart City, Real-time AI, Situation Awareness, Generative AI, Real-time Analytics, Automated Collaboration, Mobility & Traffic Management, Edge AI Agents
Summary:
Cities are deploying increasing numbers of cameras, sensors, connected devices, and AI analytics to improve mobility, safety, and resilience. Yet many smart city initiatives remain constrained by siloed systems, manual processes, and disconnected responses. While events are detected and data is visualized, the ability to act in real time across agencies and infrastructure is often missing. The challenge is no longer data collection, it is orchestrating timely, coordinated action in live, complex environments. This poster presents how Vantiq, an enterprise-grade real-time AI orchestration platform, enables governments and enterprises to build and operate mission-critical, low-latency intelligent systems in the physical world. Designed for environments where failure is not an option, Vantiq orchestrates and automates AI models, data streams, workflows, devices, and humans in real time at massive scale and with extreme reliability. The platform powers systems that must respond instantly, operate continuously, and scale to millions of users across edge, cloud, and hybrid environments. The poster introduces a Real-Time Smart City Architecture that continuously ingests and fuses live event streams from sensors, video, APIs, and enterprise systems. Using AI, GenAI, stateful processing, and rules, events are analyzed in real time and translated into automated or human-in-the-loop outcomes across people, systems, and infrastructure. Vantiq’s distributed, federated architecture supports more than 100,000 events per second with sub-10 millisecond latency, enabling cities to move from detection to decision to action within seconds. Smart city use cases proven at scale include: • Traffic & Mobility – AI-driven traffic signal optimization using sensors, V2X, and GenAI to reduce congestion and improve roadway safety (Texas DOT / Texas A&M). • Public Safety & Security – Real-time video AI and sensor fusion to orchestrate threat detection, crowd safety, and missing-person response with live dispatch coordination (NEOM / KAFD Smart City). • Emergency & Disaster Response – National-scale disaster management using AI-driven situational awareness and coordinated evacuation workflows (Japan / NTT Data). The poster also outlines why public sector organizations choose Vantiq, including patented event-driven AI orchestration, low- and no-code deployment, reduced integration complexity, secure and sovereign infrastructure support, and mission-critical reliability from prototype through production. By abstracting AI and integration complexity, Vantiq significantly reduces risk while enabling rapid deployment of production-grade systems in weeks rather than years. Together, these capabilities position Vantiq as the real-time AI orchestration layer that transforms disconnected smart city technologies into an intelligent, responsive system of systems, enabling safer streets, smarter mobility, and resilient urban operations when outcomes matter most.