New approach to common problem:
Agile Predictive Monitoring (AgPM) for smarter industries
Pioneered by Skysens, Agile Predictive Monitoring (AgPM) revolutionizes industrial IoT by treating data like a lean manufacturing process. Unlike slow, complex traditional systems, APM eliminates "deployment waste" to deliver instant AI insights. This approach drastically cuts costs and time-to-value, enabling rapid predictive maintenance and energy optimization without the usual infrastructure overhead.
Lean Touch for AI-Driven Technical Infrastructure
IoT Integration
This concept is fundamentally anchored in the use of cost-effective, energy-efficient IoT devices along with advanced wireless network technologies, including LoRaWAN, 4G/5G and others.
Application-Centric AI
Unlike passive, general-purpose analytics, Agile Predictive Monitoring leverages Agentic AI to deliver immediate, autonomous results. These pre-trained AI agents are application-specific—designed to solve distinct industrial problems right out of the box. By eliminating the need for complex training, AgPM offers a cost-effective, plug-and-play solution for critical monitoring tasks like predictive maintenance and anomaly detection
Low Cost and Flexibility
Thanks to its affordable IoT capabilities and seamless out-of-the-box integrations, any industrial AI project can be significantly streamlined, saving both time and money.
Industrial Data Integration
It offers seamless integration interfaces for existing industrial data, facilitating both upstream and downstream connectivity. This capability enables the connection of a diverse range of industrial sensors and data streams.
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Pillars of Agile Predictive Monitoring
Just like in lean systems, AgPM platform has evolved by embracing principles, consistently incorporating new features and enhancing its capabilities.
Benefits
Low Cost Digitalization
Agile Predictive Monitoring platforms enable cost-effective AI deployment using affordable IoT devices and built-in AI, eliminating the need for third-party services and potentially reducing costs by up to tenfold.
Suitable For Lean Enterprises
Agile Predictive Monitoring platforms provide customizable no-code interfaces and diverse sensors to streamline operations, tackle challenges, and lower costs, aligning with lean enterprise practices.
Open Architecture
Open architecture is key to Agile Predictive Monitoring, integrating physical and digital layers. Its microservice design and open framework allow users to enhance functionalities by adding software and hardware without replacing the entire system.
Available For All User Roles
Agile Predictive Monitoring unifies teams and empower human layer with role-specific interfaces for operational, technical, and strategic goals. Whether requiring real-time alerts or deep analytics, AgPM adapts to the user, ensuring fast, aligned decision-making across the entire infrastructure.
Native AI Implementation
AgPM should streamline operations by fusing multi-modal data with autonomous Agentic AI. This lean architecture enables instant anomaly detection, bypassing complex integration hurdles to drastically reduce deployment costs and time-to-value.
Out of Box Deployment
Agile Predictive Monitoring platforms allow out-of-the-box applications like energy efficiency and predictive maintenance, reducing costs by minimizing consultancy and outsourced labor.
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Usage Scenarios
Stand-alone application
Agile Predictive Monitoring applications serve as the main data acquisition, analytics, and reporting infrastructure. They utilize new, low-cost technologies like LoRaWAN for indoor air quality and steam trap monitoring.
Addition to Existing Technology
In this scenario, the Agile Predictive Monitoring platform integrates with existing infrastructure, such as Building Management. Learn more >
Work in Parallel
Some solutions require parallel systems due to responsibilities and requirements. The Agile Predictive Monitoring platform.. Learn more >
Agile No-Code IIoT Platform: Ideal for
Large Manufacturing Facilities
Manufacturing firms gain immensely from the Agile Predictive Monitoring platforms, driving sustainability, predictive maintenance, energy efficiency, strict HSE compliance, and operational excellence. This is vital for large manufacturing sites, leveraging Agile Predictive Monitoring to close data gaps, empower teams with AI, and refine systems for optimal asset performance.
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Airports / Seaports
Airports rely on the Agile Predictive Monitoring platforms to manage vast areas, ensuring operational excellence, predictive maintenance and system reliability. Equally, maritime seaports utilize these agile insights to elevate HSE standards and reach operational excellence. Both industries require robust, adaptable tech like Agile Predictive Monitoring to improve energy efficiency and sustainability.
Technical Facilities
Agile Predictive Monitoring technologies are critical for modernizing technical infrastructure and ensuring peak asset performance. Systems like commercial HVAC, smart lighting, and cold chain logistics rely on these platforms to automate predictive maintenance and reduce downtime. By deploying Agile Predictive Monitoring, facilities drive energy efficiency and sustainability while lowering total costs.
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Wide Area Users
Municipalities, government services, water and utility companies, agriculture companies leverage Agile Predictive Monitoring to build a resilient Smart Environment and robust Smart City infrastructure. Utilizing hybrid LoRaWAN and 4G/5G, these tools master enviromental monitoring, disaster monitoring, predictive maintenance, and asset performance. This approach elevates HSE standards, optimizes energy efficiency, and secures long-term sustainability.
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