Leverage the Power of Real-Time Edge Data to Keep Assets Running as Planned

With the average cost of unplanned downtime estimated at $100k per hour, manufacturing companies today require insight into the machine behavior that can take down operations without warning. Manufacturers looking to leverage real-time data for predictive maintenance need an edge platform that can automatically connect and collect data from ANY source, normalize and manage the data, perform analytics, and easily integrate with third party applications and cloud computing platforms. OT and IT teams trust Litmus to deliver the critical data they need to enable predictive maintenance to keep manufacturing assets and processes running as planned.

Connect to Any Asset with an Industry-Leading, Pre-Loaded 250+ Driver Library

Litmus delivers unmatched time-to-value by connecting to any PLC, DCS, SCADA, Historian or sensor to collect data for predictive maintenance in just minutes. Our industry-leading, 250+ pre-loaded driver library connects and collects data out-of-the-box with no programming required to monitor assets in real-time. Collect and normalize hundreds of custom data points from any number of assets or facilities with one platform.

Improve Response Time with Real-Time Alerts and Out-of-the-Box Data Analytics

Monitor real-time asset data, set up alerts and take action as needed to improve quality and make better maintenance decisions. Litmus offers pre-built and ready-to-use KPIs including asset utilization, uptime, downtime, anomaly detection and more. Ready analytics based on common manufacturing KPIs dramatically reduce manual setup and configuration time and enable predictive maintenance quickly and easily.

Feed Valuable Data into Big Data and Cloud Systems for Predictive Maintenance

Normalized data is immediately made available to both OT and IT systems via edge-to-cloud enterprise integration. Integrate the critical edge data collected and analyzed with leading third-party predictive maintenance applications. Run intelligent models and apply them back to edge devices to improve asset performance long-term and enable prescriptive maintenance.

Industry 4.0 のためのエッジプラットフォーム

柔軟性と拡張性に優れたLitmus のエッジプラットフォームは、Industry 4.0 への取り組みや、スマート・マニュファクチャリング、インダストリアル IoT、予防保守、機械学習といったユースケースに対応します。Litmus は、大規模なアセットの可視化、パフォーマンス、稼動時間の向上に必要なデータの収集、分析、管理、および OT-IT の連携機能を提供します。

Litmus の利用を開始する