How does Litmus ensure data is 'AI-ready' directly at the source?
Litmus transforms raw operational technology (OT) data into structured, normalized formats as it's collected at the edge. This standardization process makes the data immediately suitable for consumption by AI and machine learning models, eliminating the need for extensive pre-processing later in the pipeline.
What types of industrial assets and protocols can Litmus connect to?
Litmus offers unmatched connectivity to a wide range of industrial assets, systems, and protocols, including both modern and legacy equipment. This ensures that organizations can integrate data from their entire operational footprint, regardless of the age or type of machinery.
Can Litmus deploy custom AI/ML models, or does it only support pre-built ones?
Litmus supports running both built-in and custom AI/ML models directly at the edge. This flexibility allows organizations to leverage their own proprietary algorithms or industry-specific models for real-time insights and control where the data is generated.
How does Litmus facilitate scaling industrial AI deployments across multiple manufacturing plants?
Litmus is built for scale, enabling centralized management of nodes, applications, and models from a single point of control. This architecture allows for rapid deployment and consistent management across numerous industrial sites, significantly reducing the time and effort required to expand Industrial AI initiatives.
What is the purpose of the Litmus Edge Developer Edition?
The Litmus Edge Developer Edition provides full, free access to the Litmus Edge platform. It allows users to test every feature, build real data pipelines, and explore the capabilities of enterprise-scale Industrial AI without an initial investment, serving as an evaluation and development environment.
How does Litmus address the challenge of integrating OT data with existing cloud and enterprise systems?
Litmus includes pre-built connectors designed to push transformed and standardized OT data to various cloud platforms, enterprise resource planning (ERP) systems, manufacturing execution systems (MES), and other industrial applications. This streamlines the integration process and ensures seamless data flow across the entire IT/OT landscape.