Turn Plant-Floor Data into Google Cloud-Ready Data

Connect plant-floor systems and prepare their data for Google Cloud analytics, AI, and manufacturing applications.

• Connect PLCs, SCADA, historians, sensors, and other OT systems
• Use 250+ native drivers to reduce custom integration
• Consistent data foundation for Google Cloud services and manufacturing use cases

Turn raw machine signals into structured operational data before sending it to Google Cloud.

• Normalize tags, units, timestamps, and data types
• Add asset, line, machine, and process context
• Prepare data for BigQuery, Manufacturing Data Engine, Vertex AI, and Gemini

Use Litmus-powered edge connectivity to bridge industrial environments with Google Cloud manufacturing architecture. 

• Connect OT systems through Manufacturing Connect Edge
• Structure machine data for downstream Google Cloud services
• Support hybrid edge-to-cloud patterns with Google Distributed Cloud Connected

Deliver governed OT data into Google Cloud without rebuilding custom pipelines for every plant.

• Stream data using Pub / Sub and cloud connectors
• Send contextualized data to BigQuery for enterprise analytics and reporting
• Enable Looker dashboards, Vertex AI models, and Gemini-powered insights

Run processing close to machines for faster response and lower cloud dependency.

• Filter, enrich, and transform data at the edge
• Run KPIs, alerts, thresholds, and event logic locally
• Route only the data needed for each Google Cloud use case

Deploy and manage industrial data operations across multiple Google Cloud-connected sites. 

• Support hybrid and edge deployment with Google Distributed Cloud
• Deploy via Google Kubernetes Engine where needed
• Standardize data models, pipelines, and workloads across plants

Control how industrial data moves into Google Cloud, making trusted data accessible to OT, IT, data, and AI teams.

• Role-based access control
• Encryption in transit and at rest
• Govern how data flows into Google Cloud and is consumed