DISCOVER THE POWER OF LITMUS EDGE
Dive into the future of industrial operations with Litmus Edge, the core of the Litmus Industrial DataOps Suite, designed to effortlessly unlock your operational data's full potential. By ensuring seamless interaction with an exhaustive list of plant floor systems, Litmus Edge not only simplifies your data landscape but also activates a powerful data pipeline. This robust framework enriches operational data, providing actionable insights that can easily be scaled across cloud platforms or other business systems for immediate implementation. Step into the future of industrial data operations with Litmus Edge - where every data point is a stepping stone to unparalleled insights and outcomes.
THE BACKBONE OF THE INDUSTRIAL DATAOPS SUITE
Industrial AI
Choose Litmus Edge to seamlessly integrate and activate a smarter, safer, and more capable industrial environment by propelling Industrial AI applications. By combining the power of AI with real-time data collection, use Litmus Edge to build AI-driven digital twins and data models, time-series predictions, interactive training experiences, vision-based quality inspections, and more. Foster a secure, intelligent workplace by streamlining processes and knowledge-sharing for greater productivity and safety.
Asset Monitoring
Many industrial companies face the challenge of efficiently capturing essential machine health data, including metrics like temperature, vibration, and velocity. Litmus Edge stands out as a transformative solution, enabling a comprehensive understanding of asset performance in real-time. It excels in collecting, normalizing, and contextualizing data from a wide range of sources, providing a unified view of all relevant data, ensuring that critical information is not only accessible but also actionable, empowering teams to make informed decisions quickly.
Machine Learning
Through Litmus Edge and with third party apps, feed machine learning models with valuable, normalized and contextualized data, and complete the feedback loop by running the new models at the edge. With our own digital twins, Litmus also serves as the source of data so asset modeling and instances are working on the same platform.
Predictive Maintenance
Reduce unplanned downtime, increase efficiency and get more proactive across the enterprise. Real-time data can provide additional insight to supply chain and go-to-market teams for better planning and forecasting.
Energy Management
Transform your energy strategy with Litmus Edge, where every data point guides you towards optimized energy spend and eco-friendly operations. Litmus Edge drives data-driven energy management by tapping into real-time data from OT assets on your plant floor. It equips you with predictive insights and anomaly detection capabilities, positioning you to finely tune your energy expenditure.
Improve OEE
Litmus Edge collects and analyzes asset data needed to dramatically simplify the calculation of OEE with out-of-the-box KPIs. OT and IT teams trust Litmus to deliver the critical data they need to improve manufacturing uptime, performance and quality scores.
Explore our customer stories to see how we've empowered manufacturing, oil and gas, automotive, food and beverage, agriculture, mining, and other companies with Industrial DataOps solutions. Learn how they've tackled challenges, driven projects to success, and launched initiatives that led to measurable results.
We had data in many isolated systems in many formats. We needed a standard hub to collect data from those various sources and push data to where we use them (manufacturing applications, reporting system, dashboard, etc.). It took 1-1.5 hours for a quality engineer to extract & prepare the data for daily reviews, and at times we only had weekly or monthly reports. But now, it is near real-time and the operations team can focus on value-generating tasks.
Using Litmus Edge, we've improved the integration and automation of our OT infrastructure management and deployment. This advancement helps us move towards unifying and standardizing our data practices throughout our organization.
Our close cooperation with Litmus enables us to apply innovative and scalable Industrial Data Operations that offer us extended insights and KPI driven automations for our factories and agriculture use-cases. We look forward to further expanding our successful partnership on the way to become a fully data driven and highly automated P&L business.
Litmus Edge makes it simpler to repeat a success story from one plant to the next and many others in quick succession. The Litmus team understood our goals and integrated seamlessly with our operational and IT environment – delivering greater ROI on existing systems and tools.
With Litmus Edge we have been able to add context to manufacturing data right at the source, calculate the desired KPIs at the edge and send them to the cloud – all fully automated within one workflow and one software piece. Thereby, we are replacing four steps with one, resulting in a more efficient, robust and agile data landscape.
Litmus Edge creates a data layer that makes IIoT more accessible on the factory floor and across the enterprise so you can focus on what matters most for your business. With Litmus Edge Manager, you also get a centralized management and orchestration layer for device, data, application and ML model management at any scale across plants and geographies.
Run Litmus Edge as an OS directly on bare-metal hardware such as an embedded x86-64 or ARM (Beta) PC or a gateway. Create an air gap between your OT asset and IT systems. This deployment model is ideal if you need to:
Connect to your plant floor in a secure way with Litmus Edge running outside your enterprise network. An ideal model if you want your local IT team to manage the deployment.
Get the maximum flexibility with a hybrid model – at the edge and in the cloud. Your local IT manages the edge while enterprise IT manages devices, security and infrastructure from the cloud.
Suranjeeta Choudhury
Director of Product Marketing
SCADA and other Systems of Records (SOR) like MES, Historian, ERP, CRM, or time-series databases have served their time as the pillars of Industry 3.0. However, the dawn of Industry 4.0 brings forth a seismic shift.
Vishvesh Shah
Director of Product Management
The integration of edge computing with digital twins can help address challenges faced by manufacturers. It can reduce response time, optimize data, improve security, and lower risk.
Suranjeeta Choudhury
Director Product Marketing and Industry Relations
Edge computing moves computing power closer to data sources. It has 3 aspects: consumer, enterprise, and industrial IoT edge. An industrial edge DataOps platform provides real-time insights, analytics, and remote monitoring for industrial settings.
Vishvesh Shah
Director of Product Management
The integration of edge computing with digital twins can help address challenges faced by manufacturers. It can reduce response time, optimize data, improve security, and lower risk.
Vatsal Shah
Co-Founder + CEO
Doing More With Data is not a one-time act. It’s continuous.
