New approach to common problem:
Agile Predictive Monitoring (AgPM) for smarter infrastructure
Skysens has pioneered Agile Predictive Monitoring, a revolutionary concept in industrial IoT and AI-driven physical systems monitoring inspired by lean and agile principles for enterprises. This innovative approach is designed to reduce costs while dramatically accelerating the time it takes to transition from data collection to AI-enhanced operations especially for complex, wide area facilities.
Lean Touch for AI-Driven Technical Efficiency
Wireless 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 and 5G.
AI Enablement for All Team Members
In contrast to vague, data-driven AI and analytics platforms, Agile Predictive Monitoring emphasizes user-centric, application-based AI, making it the perfect solution for cost-effective and inclusive digital transformation. It features integrated agentic AI and analytics models that are ready to use right out of the box.
Lower Cost and Flexibility
Thanks to its affordable IoT capabilities and agentic AI, any industrial efficiency project can be significantly streamlined, saving both time and money.
Emphasis on Integration Capabilities
Technology should be adaptable even for old infrastructure. AgPM emphasizes on highly adaptable systems for both digital and physical assets. This capability enables the retrofitting physical and digital systems with technologies such as Unified Name Space, low power sensors and/or context aware AI.
5 Principles of Agile Predictive Monitoring
Just like in lean systems, AgPM platform has evolved by embracing principles, consistently incorporating new features and enhancing its capabilities.
Flexibility
Agile Predictive Monitoring is designed to deliver unparalleled flexibility for both physical and digital landscapes.
User Centricity
Agile Predictive Monitoring platforms should focus on the user, providing an intuitive and seamless experience.
Scalability
An effective Agile Predictive Monitoring platform facilitates scalable infrastructure across both digital and physical domains.
Adaptability
Agile Predictive Monitoring is designed to deliver unparalleled adaptability for both physical and digital assets and systems.
Inclusiveness
An Agile Predictive Monitoring platform enables AI-optimized data flow accessible to everyone, regardless of their roles.
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.
Frequently asked questions about AgPM
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Adoption Scenarios
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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.
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Addition to Existing Technology
In this scenario, the Agile Predictive Monitoring platform integrates with existing infrastructure, such as Building Management. Learn more >
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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 companies gain a competitive edge via Agile Predictive Monitoring. This concept drives sustainability, reduces carbon footprints, and boosts energy efficiency. By integrating lean and agile operations, it improves health and safety standards while achieving true operational excellence. For large manufacturing facilities, Agile Predictive Monitoring bridges monitoring gaps and empowers teams with AI-driven insights. By fostering lean and agile operations, it upgrades legacy control systems to optimize asset performance and ensure peak industrial efficiency.
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Airports / Seaports
Airports lead in adopting Agile Predictive Monitoring due to their vast scale and complex demands. Likewise, seaports utilize these tools to foster lean and agile operations and reach operational excellence. Both hubs rely on continuous, flexible Agile Predictive Monitoring concepts to meet improving sustainability requirements, reduce waste, and boost long-term efficiency across all critical infrastructure assets.
Learn MoreTechnical Facilities
Agile Predictive Monitoring technologies significantly enhance any technical infrastructure. Systems like commercial HVAC, cold chain logistics, and public lighting are optimized through these concepts. By driving lean and agile operations, facilities meet improving sustainability requirements while boosting efficiency and performance in a dynamic and cost-effective way.
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Wide Area Users
City councils, municipalities, and energy providers gain significantly from Agile Predictive Monitoring. By integrating AI and wireless IoT like LoRaWAN, these sectors drive lean and agile operations while meeting improving sustainability requirements. These solutions revolutionize monitoring capabilities, improving efficiency and driving costs down. Ultimately, they improve service quality and ensure a high ROI across all public and industrial operations.
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