Litmus AI is an advanced edge data platform designed to unlock the full potential of industrial AI. It enables manufacturers to deploy AI models, host small language models (SLMs), and automate workflows directly at the edge. Powered by the Litmus MCP Server, Litmus AI ensures consistent, secure, and scalable integration of OT data with AI applications across all facilities.

Features

• Unified Data Connectivity
  • Connect to any industrial asset, system, or protocol in minutes.
  • Standardizes OT data in terms of frequency, quality, and format.
• AI-Ready Data Transformation
  • Contextualizes and structures complex OT data into formats optimized for AI models.
  • Enables accurate and actionable insights.
• MCP Server for Edge AI
  • Deploy models instantly across sites.
  • Run GPU-intensive workloads and host language models locally.
  • Supports predictive quality, process optimization, and adaptive control.
• Centralized Edge Management
  • Manage thousands of devices, data pipelines, and AI models from a single interface.
  • Ensures secure scaling and full control over industrial edge environments.
• Embedded Edge AI Capabilities
  • Real-time analytics and reasoning at the edge.
  • Integration with major cloud AI services for hybrid intelligence.
• AI Application Runtime
  • Optimized for Nvidia GPU drivers.
  • Supports local runtime of computer vision and other GPU-intensive applications.
• Locally Hosted SLMs
  • Enables use cases like asset troubleshooting and process optimization.
  • Keeps sensitive data secure in air-gapped environments.
• Litmus AI Agents
  • Structured Data & Metadata APIs provide historical context and process intelligence.
  • Delivers context-rich, accurate guidance for operators.

Benefits

• Scalable AI Deployment: Activate industrial AI across multiple facilities with ease.
• Real-Time Decision Making: AI-powered analytics at the edge enable faster, smarter operations.
• Secure Data Handling: Local hosting of models ensures data privacy and compliance.
• Reduced Cloud Dependency: Edge runtime eliminates the need to send data to the cloud.
• Operational Efficiency: Automates workflows and enhances process control.
• Trusted Intelligence: AI agents deliver actionable insights grounded in operational context.