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Edge AI for Real‑Time Systems
Industrial Intelligent Solutions driven by Edge and Embedded AI are designed to support autonomous and real-time decision making.
About Sensor Reply
Sensor Reply is a company within the Reply Group specialized in Edge AI for industrial applications.
Organizations in automotive, manufacturing and energy are supported through the design and deployment of Artificial Intelligence directly at the edge, where data is generated and real-time decisions are required.
The focus is on bringing intelligence closer to physical systems by combining data‑driven and Generative AI techniques with strong expertise in system control, diagnostics and modeling.
An engineering-first approach to Edge AI is adopted, where data scientists, data engineers, and control engineers work together to ensure that intelligent algorithms remain consistent with the physical behavior and dynamics of the systems they control.
Sensor Reply Portfolio
Edge &
Embedded AIWe develop Edge AI solutions that enable intelligent decision-making close to physical systems.
Smart Manufacturing Assistant
We enable smarter manufacturing through AI-driven process monitoring, industrial intelligence and decision support.
Smart Mobility
AssistantWe develop Assistants to enable onboard diagnostics, intelligent support and context-aware decision-making directly within the vehicle.
Intelligent Sensing & Perception
We turn sensor and visual data into actionable intelligence for smarter products and operations.
We help organizations bring intelligence directly to embedded and edge devices, where solutions must operate under strict constraints such as latency, power, memory and connectivity. This enables faster responses, greater resilience and reduced dependency on the cloud.
We help manufacturers improve process visibility and operational responsiveness through advanced AI solutions deployed close to industrial systems enabling distributed intelligence. From process monitoring and anomaly detection to edge-based multi-agent intelligence, we turn industrial data into timely, actionable decisions.
We design AI-powered mobility assistants that run on embedded vehicle platforms, combining onboard agents, Generative AI and real-time intelligence. From onboard diagnostics and mission optimization to virtual coaching and driver behavior monitoring, these solutions enable more adaptive, connected and intelligent vehicle function
We help organizations improve how physical systems are monitored, interpreted and controlled through intelligent sensing solutions. From vision inspection for quality assurance to virtual sensors and anomaly detection, our technologies enable accurate, timely and context-aware responses.
Edge AI: Image Captioning
We design and deploy image captioning solutions based on Generative AI running directly on edge devices. These solutions transform visual data into structured, meaningful information in real time, enabling advanced monitoring and decision support while ensuring low latency, data privacy and limited bandwidth usage.
Smart Process Monitoring & Predictive Maintenance
We developed a smart monitoring assistant for HVAC fancoil units, designed to perform diagnostic and anomaly detection functions entirely at the edge, directly on industrial hardware, without relying on continuous cloud connectivity for core monitoring and analytics. The solution connects multiple protocols and sensor technologies, processes data locally with low latency, generates actionable KPIs in real time, and integrates into a broader edge-to-cloud continuum architecture with a multi-agent AI system. This AI layer enables natural-language data analytics, automated chart generation, and maintenance planning, all running on an edge gateway.
Operator Assembly Assistant
We developed an Operator Assembly Assistant that combines embedded vision and on-edge LLMs to support operators in real time during assembly activities. The solution can recognize components, verify execution steps, suggest corrective actions, and provide contextual guidance directly on local devices, without relying on continuous cloud connectivity. By processing data at the edge, the system ensures low latency, greater privacy, and reliable operation on the shop floor, while also enabling the collection and analysis of structured process data for traceability, performance monitoring, and trend analysis through an agent-based assistant.
Smart Mobility Assistant
Leveraging our driving simulator environment and experience with industry‑standard software platforms adopted by car makers and OEMs, such as CarSim. We enable the design, simulation, and validation of advanced onboard AI solutions in realistic driving scenarios. This capability supports the development of Smart Mobility Assistants for applications including virtual coaching, driver behavior monitoring, mission optimization, and onboard diagnostics, delivering intelligent, context‑aware functionality directly on vehicle platforms and ECUs.
