Best IoT Analytics Software in the UK

NamLabs Technologies is an Indian software company that publishes a software suite called Atatus. Atatus is a SaaS software & a full stack observability platform. It provides a wide range of monitoring capabilities including Application Performance Monitoring, Real-User Monitoring/ End User Monitoring/ Browser Monitoring, Synthetic Monitoring, Infrastructure Monitoring, Logs Monitoring, and API Analytics. Analyze the performance of your application for performance issues such as slow transactions, database queries, website availability, uptime, latency, response time, and throughput, much more. 24x7 customer support is guaranteed.

Turn machine data into actionable insight - fast. FourJaw technology turns live machine data into clear, usable insights, empowering better decisions across every shift, every site and every machine. Not just when a machine stops, but where energy’s being wasted, where jobs are stalling and where time and capacity slip away. FourJaw’s plug-and-play IoT hardware connects to almost any machine. It’s installed in minutes with no disruption and no downtime. Real-time insights into performance, OEE, energy, and output, all in one intuitive platform, with configurable dashboards that show the data manufacturers need, how they need it, making reporting and analysis feel effortless. See what’s underperforming, what needs improving, and where to act next. From one machine to the entire factory, it’s simple to install and built to scale. FourJaw. Factory Intelligence. Made Simple.

Visplore is a plug-and-play software solution for rapid advanced analytics of process and asset data. Easy-to-use visualization and automated analytics provide process and maintenance engineers with answers for data-driven decision-making. Increase the speed and value of data analytics by 10x – 100x and master the digital transformation with your subject-matter experts. Highlights: - Work with millions of data records without delay (zooming etc.). - Select, cleanse, label and export data interactively - Connect with Python, R, Matlab, CSV, databases and OSISoft PI to get started in 1 minute.

Fogwing is the next generation Industrial IoT platform engineered with features to build IoT Solutions for various industrial use cases; from industrial equipment monitoring, asset tracking, equipment condition monitoring to predictive maintenance. Users can build and deploy IoT based automation solutions without deep information technology expertise. The extended data analytics provides data driven analytical processes to predict operational risks and actions at lower TCO!

IoT- Edge Solution for Industry4.0, Smart Monitoring, and Building. Monitor and control energy consumptions, improve energy efficiency, and productivity. With Enture IoT and Edge, you can connect your existing VFDs, PLCs, Energy Meters, and devices ( fan, lights, ACs, and many more) to the Cloud. Without complicated engineering and protocol configurations, you get started with easy installation and configuration to Enture Cloud HMI (mobile/web app). The innovative Enture Edge encrypts the data from all the devices, VFDs, PLCs, and energy meters and syncs the data to Enture Cloud for multiple users to view through web and mobile app. In the case of internet failure, Enture is capable of storing the data locally and syncing the data to the cloud whenever the internet connection is established. Give your factories an edge and upgrade from Industry3.0 to Industry4.0. Enture IoT-Edge has been developed to enable the I4.0 transition with plug and play integration.

Reduce risk, ship products faster, and resolve issues proactively by upgrading your Android and MCU-based devices with Memfault. By integrating Memfault into smart device infrastructure, developers and IoT device manufacturers can monitor and manage the entire device lifecycle, from development to feature updates, with ease and speed. Monitor hardware and firmware performance, remotely investigate issues, and incrementally rollout targeted updates to devices without disrupting customers. Go beyond application monitoring with device and fleet-level metrics, like battery health and connectivity with crash analytics for firmware. Resolve issues more efficiently with automatic detection, alerts, deduplication, and actionable insights sent via the cloud. Keep customers happy by fixing bugs quickly and shipping features more frequently with staged rollouts and specific device groups (cohorts).