Litmus AI | Litmus - 産業データオペレーションを大規模に実現

Industrial AI
Edge Data Powers Industrial AI
Litmus is a modern edge data platform that enables the seamless data flow between OT systems and industrial AI applications at scale.

Modern Edge Data Platform
The right way to harness OT data at scale
Enabling Industrial AI requires an easy-to-deploy modern edge data platform that can scale across all your industrial facilities. By unifying data connectivity and providing seamless and secure data flow between OT and AI applications, organizations can harness the operational insights needed to improve operations at scale.

Data Connectivity
Collect and share OT data with AI applications at scale
Deploying a unified edge data platform across all industrial facilities is the critical first step to a successful AI initiative. This ensures the way to collect and share data is the same across locations, bringing consistency and predictability to the frequency, format, and quality of operations data that is used by AI systems.
Data Transformation
Transform complex OT data into “AI-ready” data
Transforming data from disparate OT systems into contextualized data before sending to AI systems is crucial for enabling meaningful analysis and actionable insights, helping to maximize the value of that data.
Data Integration
Seamlessly share OT data and AI models edge-to-cloud
Collecting and sharing OT data is only half a solution. Delivering contextualized operations data from multiple facilities and running AI models at the edge ensures seamless bi-directional OT-OT data flow and model deployment.
Edge Management
Centrally manage large-scale edge deployments
A modern data platform can easily update edge devices, apply data changes, and orchestrate AI model and application deployments, all from a single point of control and at scale.

Edge AI
Leverage embedded AI technology at the Edge
In addition to enabling Industrial AI in the cloud, leveraging AI technology embedded inside Litmus Edge enables dozens of new edge AI use cases and applications.

AI-Powered Analytics
Real-time AI-powered data analysis supports major cloud services like OpenAI, Google Gemini, and AWS Bedrock, enabling real-time AI-augmented data analysis, reasoning, and action plans.
Litmus AI Agents
A structured API interface for Data and Metadata allows grounded AI agents to integrate with Litmus Edge and Litmus UNS. Agents now use historical data, context, and asset models for precise data interpretation with deeper context.
AI Application Runtime
Optimized support for Nvidia GPU drivers enables local runtime of Computer Vision, AI models, and other GPU-intensive AI applications right at the edge. Edge AI runtime removes the need to send data to the cloud for localized AI use cases.
Locally Hosted SLMs
Locally hosted SLMs within Litmus Edge enable dozens of use cases designed around asset knowledge and troubleshooting, as well as process optimization and improvements. Running SLMs at the edge keeps sensitive data secure in air-gapped environments.