Skysens offers an Agile Predictive Monitoring (APM) platform that utilizes MQTT, REST API, and Webhooks to provide real-time monitoring and analytics for industrial assets. This technology enables users to implement predictive maintenance, enhance energy efficiency, and improve overall operational performance, reducing unplanned downtime and operational costs.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many industrial facilities struggle with inefficient monitoring of their assets, leading to unplanned downtime, increased energy consumption, and potential safety hazards. Existing monitoring solutions often lack the agility and comprehensive data integration needed to provide real-time insights and predictive maintenance capabilities across diverse industrial environments.
Solution
Skysens offers an Agile Predictive Monitoring (APM) platform that provides real-time data streams and AI-powered analytics for industrial assets, enabling predictive maintenance, improved energy efficiency, and enhanced operational performance. The platform integrates data from various industrial sources via MQTT, REST API, Webhooks, and industrial data adapters, presenting it through customizable, drag-and-drop dashboards. By leveraging long-range wireless capabilities and a comprehensive hardware ecosystem, Skysens facilitates the capture, visualization, and analysis of critical data, empowering users to make data-driven decisions and optimize their operations. The APM platform's no-code interface and IT-OT convergence capabilities allow both IT and frontline teams to proactively address issues, reduce downtime, and improve overall equipment effectiveness (OEE).
Target Audience
Skysens targets industrial enterprises across various sectors, including automotive, aviation, logistics, chemicals, oil and gas, and food and beverage, seeking to improve asset performance, reduce downtime, enhance energy efficiency, and ensure health and safety compliance.
Features
- Real-time data acquisition from diverse industrial assets using MQTT, REST API, Webhooks, OPC, and MODBUS.
- Customizable, drag-and-drop dashboards for real-time and historical data visualization.
- Integrated LoRaWAN network server for private LoRaWAN deployments.
- Predictive maintenance capabilities through AI-powered analytics and machine learning models.
- Unified Namespace (UNS) compatible data architecture for seamless data management.
- On-premises and private cloud deployment options for enhanced security and isolated systems.
- Role-based access control and secure data transmission for data integrity.
- Smart notification management and alarming interfaces for proactive issue resolution.