New capabilities across Fogsphere Manager and Vision Agent® 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®, 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® 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® for NVIDIA DGX SparkTM,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® 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®, 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®, no-code AI workflows and enterprise tools for deploying and improving AI across industrial and retail operations.
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