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Fogsphere advances physical AI at HANNOVER MESSE 2026 with MistIQ(R), NVIDIA Cosmos Reason 2 and ARM / Jetson Thor support. New capabilities across Fogsphere Manager and Vision Agent(R) expand enterprise training, reasoning and edge deployment for mission-critical industrial AI HANNOVER, Germany, April 20, 2026 - Fogsphere today announced at HANNOVER MESSE 2026 a broader expansion of its physical AI platform, combining the launch of Fogsphere MistIQ(R), new training workflows using NVIDIA Cosmos Reason 2, and expanded deployment support across ARM-based systems and NVIDIA Jetson Thor for edge deployment. Together, these capabilities give enterprises a more complete path to build, train, refine and operationalize real-world AI for industrial environments. Integrated into the Fogsphere Manager suite, MistIQ(R) is designed to help enterprises move from fragmented experimentation to production-grade physical AI. The platform provides a unified environment to train and refine Vision Language Models, World Models and AI Agents using operational video, sensor streams, event history, workflows and domain-specific knowledge from live environments. Fogsphere also announced contextual support within MistIQ(R) for NVIDIA DGX Spark(TM),powered by the NVIDIA GB10 Grace Blackwell Superchip, extending training and refinement options for compact, high-performance AI development at the edge. For manufacturing environments, Fogsphere is also introducing new training workflows for Vision Agent(R) using NVIDIA Cosmos Reason 2. These workflows are designed to help manufacturers build more context-aware visual agents that can interpret industrial scenes, reason over events across time and support plant-floor use cases such as unsafe behavior recognition, process deviation understanding, line-side hazard triage, quality inspection escalation and faster incident review. At deployment time, Fogsphere is extending operational flexibility with support for ARM-based edge architecturesincluding the high-performance NVIDIA Jetson Thor modules. This allows customers to operationalize advanced AI closer to production lines, work cells, material flow zones and other mission-critical points of operation where latency, privacy, resiliency and operational sovereignty matter most. By bringing training, reasoning and deployment into the same edge-first architecture, Fogsphere is creating a tighter continuous-improvement loop for physical AI. Customers can curate training inputs, evaluate reasoning quality, refine models and agents, and push updated intelligence back into the field through the same operational platform used to manage devices, sites, events, alerts and workflows. "Physical AI leadership will belong to platforms that connect training, reasoning and deployment in one operational stack," said Pasquale Giampa, CEO of Fogsphere. "With MistIQ(R), NVIDIA Cosmos Reason 2 workflows, and expanded ARM and Jetson Thor deployment support, we are giving enterprises a practical foundation to build adaptive AI systems that can be trained on operational reality and deployed where decisions matter most." The announcement reinforces Fogsphere's strategy of helping enterprises perceive, reason and act across physical environments. As industrial customers look for AI systems that go beyond isolated detections and static dashboards, Fogsphere is extending the platform to support more contextual, site-aware and continuously improving intelligence across manufacturing, energy, utilities, construction, logistics and other complex environments. About Fogsphere Fogsphere provides an edge-first AI platform for safety, security and operational intelligence. Through the Fogsphere platform, organizations can deploy real-time, multimodal intelligence that enables them to perceive, reason and act across physical environments. The platform includes Safety AI, Operational Intelligence AI, Vision Agent(R), no-code AI workflows and enterprise tools for deploying and improving AI across industrial and retail operations. Media Contact Fogsphere AI [email protected] +44 (20) 3879 4700

Fogsphere to deliver real-time perception, reasoning, and action at the edge with NVIDIA AI-RAN and Metropolis support. At NVIDIA GTC 2026, Fogsphere highlights how Vision Agent(R) combines live video, contextual reasoning, and edge-first AI infrastructure to help safety and operations teams move faster from detection to understanding to action. SAN JOSE, Calif., March 16, 2026 - Fogsphere today announced expanded support for Fogsphere Vision Agent(R) with NVIDIA AI-RAN and NVIDIA Metropolis, advancing how safety and operations teams perceive, reason, and act in real time at the edge. Built for edge-first deployment, Fogsphere Vision Agent uses Vision Language Models (VLMs) and agentic AI to transform live video into operational intelligence. The platform enables organizations to perceive what is happening across cameras and environments, reason over events across time and operational context, and act faster through real-time alerts, workflows, and response. With support for NVIDIA Cosmos Reason and Cosmos Reason 2 (CR2), Fogsphere is further strengthening its ability to deliver richer reasoning, clearer incident understanding, and faster action in complex industrial and construction environments. NVIDIA AI-RAN introduces a new class of distributed edge infrastructure by enabling AI and radio workloads to run on shared accelerated platforms. For Fogsphere, this creates a path to deploy perception and reasoning agents closer to where video is captured, helping customers identify hazards as they emerge, interpret unfolding situations in context, and trigger action immediately at the point of operation. This architecture supports scalable, real-time hazard detection, incident triage, and operational intelligence across large, distributed sites. Fogsphere's Vision Agent is designed to help customers move beyond alerts to real-time understanding and response. By combining VLMs, CR2, and NVIDIA Metropolis Video Search and Summarization (VSS), Fogsphere enables safety and operations teams to connect events across space and time, improve reporting consistency, reduce investigation effort, and shorten the time between detection and action. The result is a system that continuously perceives conditions in the field, reasons over operational context, and drives timely action to improve safety, security, and performance. "Fogsphere Vision Agent turns real-world video into real-time intelligence," said Pasquale Giampa, CEO of Fogsphere. "By combining advanced perception, contextual reasoning, and the ability to trigger action at the edge with NVIDIA AI-RAN, Cosmos Reason 2, and Metropolis, we are helping customers move faster from alerts to understanding and from understanding to action across complex environments." About Fogsphere Fogsphere provides an edge-first AI platform for safety, security, and operational intelligence. Through the Fogsphere Platform, organizations can deploy real-time, multi-modal intelligence at the edge that enables them to perceive, reason, and act across physical environments. The platform includes Safety AI, Operational Intelligence AI, Visual Agentic AI, and no-code AI workflows for industries such as energy, oil & gas, manufacturing, logistics, construction, mining, and retail. Media Contact Fogsphere AI [email protected] +44 (20) 3879 4700