Centralize your data for analytics, monitoring and simulation

Manufacturing companies use Quix to optimize manufacturing processes, improve maintenance practices, simulate machine behaviour to expedite product development, and more.
Manufacturing companies use Quix to optimize manufacturing processes, improve maintenance practices, simulate machine behaviour to expedite product development, and more.

Simulate device behaviour to expedite the development of new products and machines via digital twins. Reduce development time and cost of bringing new products to the market.
Identify production inefficiencies and bottlenecks in real-time, and adjust operations for optimal throughput and resource allocation.
Monitor distributed manufacturing plants and complex manufacturing processes centrally. Cost-effectively collect and process Terabytes of granular device data to create a single pane of glass for your manufacturing infrastructure.
Quickly identify equipment failures to minimise their impact on production output. Generate alerts down to the machine part to ensure they can be actioned effectively.
Use ML and AI to predict equipment faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous production.

Simulate device behaviour to expedite the development of new products and machines via digital twins. Reduce development time and cost of bringing new products to the market.
Identify production inefficiencies and bottlenecks in real-time, and adjust operations for optimal throughput and resource allocation.
Monitor distributed manufacturing plants and complex manufacturing processes centrally. Cost-effectively collect and process Terabytes of granular device data to create a single pane of glass for your manufacturing infrastructure.
Quickly identify equipment failures to minimise their impact on production output. Generate alerts down to the machine part to ensure they can be actioned effectively.
Use ML and AI to predict equipment faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous production.
Use ML and AI to detect defects and maintain high-quality production standards, as well as reducing waste.
Customer story
How CloudNC makes better predictions for maintenance, generates insights with very low latency, and transforms its factory operations with streaming data.
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