Supos
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Supos is a comprehensive Industrial IoT (IIoT) platform designed to streamline complex industrial data management and accelerate digital transformation for manufacturing and enterprise environments. It establishes a Unified Namespace (UNS) to integrate data from disparate operational technology (OT) sources, providing real-time access and robust application orchestration capabilities. By simplifying data contextualization and enabling advanced analytics, Supos empowers organizations to enhance operational intelligence, improve efficiency, and drive data-driven decision-making across their industrial operations. The platform aims to bridge the gap between OT and IT, facilitating the development and deployment of IIoT applications at scale.
Why was this tool discontinued?
Automatically marked inactive after 7 consecutive failed health checks (last error: Connection timeout)
What It Does
Supos functions as an all-in-one IIoT platform by leveraging a Unified Namespace to consolidate industrial data from various sources into a single, contextualized source of truth. It facilitates seamless data integration from diverse protocols, ensures real-time data access, and provides tools for application orchestration. This enables enterprises to manage, analyze, and act upon their operational data effectively, transforming raw data into actionable insights for improved productivity and informed decisions.
Pricing
Pricing Plans
Tailored solutions for large industrial enterprises requiring comprehensive IIoT capabilities, custom integrations, and dedicated support.
- Full IIoT Platform Access
- Unified Namespace
- Edge Connectivity
- Real-time Data Processing
- Application Orchestration
- +4 more
Core Value Propositions
Simplified Data Integration
Eliminates complex point-to-point integrations by unifying all industrial data into a single, accessible namespace, saving time and resources.
Accelerated Digital Transformation
Provides a robust, scalable platform that fast-tracks the adoption of IIoT and advanced analytics, enabling quicker realization of business value.
Enhanced Operational Intelligence
Delivers real-time, contextualized data, empowering stakeholders with actionable insights for proactive decision-making and performance optimization.
Reduced Operational Costs
Enables predictive maintenance, process optimization, and efficient resource management, leading to significant cost reductions and improved asset utilization.
Use Cases
Predictive Maintenance
Monitor machine health and performance in real-time to predict potential failures, reducing unplanned downtime and maintenance costs.
Process Optimization
Analyze live production data to identify bottlenecks, optimize parameters, and improve efficiency and quality in manufacturing processes.
Energy Management
Track and analyze energy consumption across industrial facilities to identify waste, optimize usage, and reduce utility costs.
Asset Performance Management
Gain a comprehensive view of asset health, utilization, and performance to maximize operational lifespan and return on investment.
Quality Control & Assurance
Integrate sensor data from production lines to monitor product quality in real-time, enabling immediate corrective actions and reducing defects.
Supply Chain Visibility
Connect and contextualize data from various stages of the supply chain to improve transparency, traceability, and logistics efficiency.
Technical Features & Integration
Unified Namespace (UNS)
Establishes a single source of truth for all industrial data, providing consistent context and simplifying data access across the organization.
Extensive Edge Connectivity
Connects to a broad range of industrial protocols (OPC UA, Modbus, MQTT, S7, etc.) at the edge, ensuring comprehensive data acquisition from diverse devices.
Real-time Data Access
Delivers low-latency data ingestion and access, enabling immediate insights and rapid responses to operational changes or events.
Application Orchestration
Provides tools and frameworks for developing, deploying, and managing IIoT applications, facilitating custom solution creation and integration.
Data Contextualization
Enriches raw industrial data with metadata and semantic models, making it understandable and actionable for various stakeholders and systems.
AI/ML Integration
Supports the integration of artificial intelligence and machine learning models for advanced analytics, predictive maintenance, and process optimization.
Scalability and Security
Designed for large-scale industrial deployments with enterprise-grade security features to protect sensitive operational data.
Target Audience
Supos is primarily designed for manufacturing companies, large industrial enterprises, and operations technology (OT) and information technology (IT) departments seeking to modernize their data infrastructure. It caters to roles such as operations managers, data engineers, plant managers, and digital transformation leaders who aim to improve efficiency, reduce downtime, and gain deeper insights from their industrial processes. System integrators and solution providers building IIoT applications also benefit significantly from the platform's capabilities.
Frequently Asked Questions
Supos is a paid tool. Available plans include: Enterprise Plan.
Supos functions as an all-in-one IIoT platform by leveraging a Unified Namespace to consolidate industrial data from various sources into a single, contextualized source of truth. It facilitates seamless data integration from diverse protocols, ensures real-time data access, and provides tools for application orchestration. This enables enterprises to manage, analyze, and act upon their operational data effectively, transforming raw data into actionable insights for improved productivity and informed decisions.
Key features of Supos include: Unified Namespace (UNS): Establishes a single source of truth for all industrial data, providing consistent context and simplifying data access across the organization.. Extensive Edge Connectivity: Connects to a broad range of industrial protocols (OPC UA, Modbus, MQTT, S7, etc.) at the edge, ensuring comprehensive data acquisition from diverse devices.. Real-time Data Access: Delivers low-latency data ingestion and access, enabling immediate insights and rapid responses to operational changes or events.. Application Orchestration: Provides tools and frameworks for developing, deploying, and managing IIoT applications, facilitating custom solution creation and integration.. Data Contextualization: Enriches raw industrial data with metadata and semantic models, making it understandable and actionable for various stakeholders and systems.. AI/ML Integration: Supports the integration of artificial intelligence and machine learning models for advanced analytics, predictive maintenance, and process optimization.. Scalability and Security: Designed for large-scale industrial deployments with enterprise-grade security features to protect sensitive operational data..
Supos is best suited for Supos is primarily designed for manufacturing companies, large industrial enterprises, and operations technology (OT) and information technology (IT) departments seeking to modernize their data infrastructure. It caters to roles such as operations managers, data engineers, plant managers, and digital transformation leaders who aim to improve efficiency, reduce downtime, and gain deeper insights from their industrial processes. System integrators and solution providers building IIoT applications also benefit significantly from the platform's capabilities..
Eliminates complex point-to-point integrations by unifying all industrial data into a single, accessible namespace, saving time and resources.
Provides a robust, scalable platform that fast-tracks the adoption of IIoT and advanced analytics, enabling quicker realization of business value.
Delivers real-time, contextualized data, empowering stakeholders with actionable insights for proactive decision-making and performance optimization.
Enables predictive maintenance, process optimization, and efficient resource management, leading to significant cost reductions and improved asset utilization.
Monitor machine health and performance in real-time to predict potential failures, reducing unplanned downtime and maintenance costs.
Analyze live production data to identify bottlenecks, optimize parameters, and improve efficiency and quality in manufacturing processes.
Track and analyze energy consumption across industrial facilities to identify waste, optimize usage, and reduce utility costs.
Gain a comprehensive view of asset health, utilization, and performance to maximize operational lifespan and return on investment.
Integrate sensor data from production lines to monitor product quality in real-time, enabling immediate corrective actions and reducing defects.
Connect and contextualize data from various stages of the supply chain to improve transparency, traceability, and logistics efficiency.
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