Manufacturers have invested in connectivity and analytics. But raw machine signals don’t translate into usable, consistent data. Without structure and governance, pipelines break across sites.
Teams rebuild the same integrations, and use cases stall before they scale. Industrial AI isn’t a modeling problem. It’s a data architecture problem.
To scale AI, you need more than connectivity. You need a coordinated system that connects assets, structures data, secures flows, and manages deployments across sites. That’s what an industrial data foundation delivers. Traditional Industrial AI deployments take 12–18 months to reach production. But with the right data foundation, teams can standardize data and deploy use cases in days, not months.
standardized industrial data architecture
optimized packing and volume tracking
standardized industrial data architecture
Real-time monitoring and corrective action
Replace site-by-site integration work and point solutions. Connectivity, DataOps, UNS, governance, and AI in one architecture.
Run applications and AI close to machines with support for offline and air-gapped environments.
Standardize data models and deployments across plants consistently.
Integrate with existing OT / IT infrastructure, enterprise platforms, and cloud systems.
Litmus brings these capabilities together into a single platform so teams can connect, model, govern, and operationalize data without stitching together multiple systems.
Industrial Edge Data Platform
Litmus Edge
Connect assets, model data, and run edge applications and AI.
CENTRALIZED EDGE MANAGEMENT
Litmus Edge Manager
Deploy, monitor, and manage edge environments across sites.
Unified Namespace
Litmus Unify
Standardize data across systems with a unified namespace.
Industrial Data Governance
Litmus Data Catalog
Govern, organize, and maintain trusted industrial data.
AI INTERFACE FOR INDUSTRIAL DATA
Litmus MCP Server
Interact with data systems through AI-driven workflows.
Improve performance visibility across plants.
Analyze real-time data to reduce energy consumption.
Detect equipment failures before they occur.
Identify defects earlier in production.
Detect operational deviations in real time.
Create virtual models of production systems.
Explore the guides, webinars, and customer stories manufacturers use to plan, validate, and scale Industrial AI.
2026 Buyer's Guide to Industrial AI Enablement
Discover how a modern industrial data foundation unlocks Industrial AI.
Build the Right Data Foundation for Industrial AI
Learn the early decisions that create meaningful AI results in 30 days.
Improving Food & Beverage Manufacturing at Scale
Discover how this manufacturer scaled Industrial AI in just 10 months.
